Paperjam

P$^2$C$^2$Net: PDE-Preserved Coarse Correction Network for efficient prediction of spatiotemporal dynamics

#1000 · Qi Wang, Pu Ren, Hao Zhou, Xin-Yang Liu, Zhiwen Deng, Yi Zhang, Zeruizhi Cheng, Hongsheng Liu, Zidong Wang, Jian-Xun Wang, Ji-Rong Wen, Hao Sun, Yang Liu

SplitNeRF: Split Sum Approximation Neural Field for Joint Geometry, Illumination, and Material Estimation

#1001 · Jesus Zarzar, Bernard Ghanem

LLaMo: Large Language Model-based Molecular Graph Assistant

#1002 · Jinyoung Park, Minseong Bae, Dohwan Ko, Hyunwoo Kim

CoSW: Conditional Sample Weighting for Smoke Segmentation with Label Noise

#1003 · Lujian Yao, Haitao Zhao, Zhongze Wang, Kaijie Zhao, Jingchao Peng

LLMDFA: Analyzing Dataflow in Code with Large Language Models

#1004 · Chengpeng Wang, Wuqi Zhang, Zian Su, Xiangzhe Xu, Xiaoheng Xie, Xiangyu Zhang

Relationship Prompt Learning is Enough for Open-Vocabulary Semantic Segmentation

#1005 · Jiahao Li, Yang Lu, Yuan Xie, Yanyun Qu

Pin-Tuning: Parameter-Efficient In-Context Tuning for Few-Shot Molecular Property Prediction

#1006 · Liang Wang, Qiang Liu, Shaozhen Liu, Xin Sun, Shu Wu, Liang Wang

Untrained Neural Nets for Snapshot Compressive Imaging: Theory and Algorithms

#1007 · Mengyu Zhao, Xi Chen, Xin Yuan, Shirin Jalali

Evidential Stochastic Differential Equations for Time-Aware Sequential Recommendation

#1008 · Krishna Neupane, Ervine Zheng, Qi Yu

ProtGO: Function-Guided Protein Modeling for Unified Representation Learning

#1009 · Bozhen Hu, Cheng Tan, Yongjie Xu, Zhangyang Gao, Jun Xia, Lirong Wu, Stan Z. Li

IMPACT: A Large-scale Integrated Multimodal Patent Analysis and Creation Dataset for Design Patents

#1010 · Homaira Huda Shomee, Zhu Wang, Sathya Ravi, Sourav Medya

EHRCon: Dataset for Checking Consistency between Unstructured Notes and Structured Tables in Electronic Health Records

#1011 · Yeonsu Kwon, Jiho Kim, Gyubok Lee, Seongsu Bae, Daeun Kyung, Wonchul Cha, Tom Pollard, Alistair Johnson, Edward Choi

On Softmax Direct Preference Optimization for Recommendation

#1100 · Yuxin Chen, Junfei Tan, An Zhang, Zhengyi Yang, Leheng Sheng, Enzhi Zhang, Xiang Wang, Tat-Seng Chua

Arboretum: A Large Multimodal Dataset Enabling AI for Biodiversity

#1101 · Chih-Hsuan Yang, Benjamin Feuer, Talukder "Zaki" Jubery, Zi Deng, Andre Nakkab, Md Zahid Hasan, Shivani Chiranjeevi, Kelly Marshall, Nirmal Baishnab, Asheesh Singh, ARTI SINGH, Soumik Sarkar, Nirav Merchant, Chinmay Hegde, Baskar Ganapathysubramanian

AsEP: Benchmarking Deep Learning Methods for Antibody-specific Epitope Prediction

#1102 · ChuNan Liu, Lilian Denzler, Yihong Chen, Andrew Martin, Brooks Paige

BEACON: Benchmark for Comprehensive RNA Tasks and Language Models

#1103 · Yuchen Ren, Zhiyuan Chen, Lifeng Qiao, Hongtai Jing, Yuchen Cai, Sheng Xu, Peng Ye, Xinzhu Ma, Siqi Sun, Hongliang Yan, Dong Yuan, Wanli Ouyang, Xihui Liu

Reactzyme: A Benchmark for Enzyme-Reaction Prediction

#1104 · Chenqing Hua, Bozitao Zhong, Sitao Luan, Liang Hong, Guy Wolf, Doina Precup, Shuangjia Zheng

ProSST: Protein Language Modeling with Quantized Structure and Disentangled Attention

#1105 · Mingchen Li, Yang Tan, Xinzhu Ma, Bozitao Zhong, Huiqun Yu, Ziyi Zhou, Wanli Ouyang, Bingxin Zhou, Pan Tan, Liang Hong

Score-based 3D molecule generation with neural fields

#1106 · Matthieu Kirchmeyer, Pedro O. Pinheiro, Saeed Saremi

MSA Generation with Seqs2Seqs Pretraining: Advancing Protein Structure Predictions

#1107 · LE ZHANG, Jiayang Chen, Tao Shen, Yu Li, Siqi Sun

Neural Network Reparametrization for Accelerated Optimization in Molecular Simulations

#1108 · Nima Dehmamy, Csaba Both, Jeet Mohapatra, Subhro Das, Tommi Jaakkola

Bridge-IF: Learning Inverse Protein Folding with Markov Bridges

#1110 · Yiheng Zhu, Jialu Wu, Qiuyi Li, Jiahuan Yan, Mingze Yin, Wei Wu, Mingyang Li, Jieping Ye, Zheng Wang, Jian Wu

GENOT: Entropic (Gromov) Wasserstein Flow Matching with Applications to Single-Cell Genomics

#1111 · Dominik Klein, Théo Uscidda, Fabian Theis, Marco Cuturi

Event-3DGS: Event-based 3D Reconstruction Using 3D Gaussian Splatting

#1200 · Haiqian Han, Jianing Li, Henglu Wei, Xiangyang Ji

Training an Open-Vocabulary Monocular 3D Detection Model without 3D Data

#1201 · Rui Huang, Henry Zheng, Yan Wang, Zhuofan Xia, Marco Pavone, Gao Huang

SemFlow: Binding Semantic Segmentation and Image Synthesis via Rectified Flow

#1202 · Chaoyang Wang, Xiangtai Li, Lu Qi, Henghui Ding, Yunhai Tong, Ming-Hsuan Yang

Multi-hypotheses Conditioned Point Cloud Diffusion for 3D Human Reconstruction from Occluded Images

#1203 · Donghwan Kim, Tae-Kyun Kim

InterDreamer: Zero-Shot Text to 3D Dynamic Human-Object Interaction

#1204 · Sirui Xu, ziyin wang, Yu-Xiong Wang, Liangyan Gui

Is Your LiDAR Placement Optimized for 3D Scene Understanding?

#1205 · Ye Li, Lingdong Kong, Hanjiang Hu, Xiaohao Xu, Xiaonan Huang

PCoTTA: Continual Test-Time Adaptation for Multi-Task Point Cloud Understanding

#1206 · Jincen Jiang, Qianyu Zhou, Yuhang Li, Xinkui Zhao, Meili Wang, Lizhuang Ma, Jian Chang, Jian.J Zhang, Xuequan Lu

Goal Conditioned Reinforcement Learning for Photo Finishing Tuning

#1207 · Jiarui Wu, Yujin Wang, Lingen Li, Zhang Fan, Tianfan Xue

Lexicon3D: Probing Visual Foundation Models for Complex 3D Scene Understanding

#1208 · Yunze Man, Shuhong Zheng, Zhipeng Bao, Martial Hebert, Liangyan Gui, Yu-Xiong Wang

Subsurface Scattering for Gaussian Splatting

#1209 · Jan-Niklas Dihlmann, Arjun Majumdar, Andreas Engelhardt, Raphael Braun, Hendrik PA Lensch

S-MolSearch: 3D Semi-supervised Contrastive Learning for Bioactive Molecule Search

#1210 · Gengmo Zhou, Zhen Wang, Feng Yu, Guolin Ke, Zhewei Wei, Zhifeng Gao

Multi-Scale Representation Learning for Protein Fitness Prediction

#1211 · Zuobai Zhang, Pascal Notin, Yining Huang, Aurelie Lozano, Vijil Chenthamarakshan, Debora Marks, Payel Das, Jian Tang

StreamFlow: Streamlined Multi-Frame Optical Flow Estimation for Video Sequences

#1300 · SHANGKUN SUN, Jiaming Liu, Huaxia Li, Guoqing Liu, Thomas Li, Wei Gao

CLIP in Mirror: Disentangling text from visual images through reflection

#1301 · Tiancheng Wang, Yuguang Yang, Linlin Yang, Shaohui Lin, Juan Zhang, Guodong Guo, Baochang Zhang

LiveScene: Language Embedding Interactive Radiance Fields for Physical Scene Control and Rendering

#1302 · Delin Qu, Qizhi Chen, Pingrui Zhang, Xianqiang Gao, Bin Zhao, Zhigang Wang, Dong Wang, Xuelong Li

ProvNeRF: Modeling per Point Provenance in NeRFs as a Stochastic Field

#1303 · Kiyohiro Nakayama, Mikaela Angelina Uy, Yang You, Ke Li, Leonidas Guibas

TopoFR: A Closer Look at Topology Alignment on Face Recognition

#1304 · Jun Dan, Yang Liu, Jiankang Deng, Haoyu Xie, Siyuan Li, Baigui Sun, Shan Luo

TopoLogic: An Interpretable Pipeline for Lane Topology Reasoning on Driving Scenes

#1305 · Fu Yanping, Wenbin Liao, Xinyuan Liu, Hang Xu, Yike Ma, Yucheng Zhang, Feng Dai

Parameter-Inverted Image Pyramid Networks

#1306 · Xizhou Zhu, Xue Yang, Zhaokai Wang, Hao Li, Wenhan Dou, Junqi Ge, Lewei Lu, Yu Qiao, Jifeng Dai

WildGaussians: 3D Gaussian Splatting In the Wild

#1307 · Jonas Kulhanek, Songyou Peng, Zuzana Kukelova, Marc Pollefeys, Torsten Sattler

Enhancing Zero-Shot Vision Models by Label-Free Prompt Distribution Learning and Bias Correcting

#1308 · Xingyu Zhu, Beier Zhu, Yi Tan, Shuo Wang, Yanbin Hao, Hanwang Zhang

LoD-Loc: Aerial Visual Localization using LoD 3D Map with Neural Wireframe Alignment

#1309 · Juelin Zhu, Shen Yan, Long Wang, zhang shengYue, Yu Liu, Maojun Zhang

MoE Jetpack: From Dense Checkpoints to Adaptive Mixture of Experts for Vision Tasks

#1310 · xingkui zhu, Yiran Guan, Dingkang Liang, Yuchao Chen, Yuliang Liu, Xiang Bai

PPLNs: Parametric Piecewise Linear Networks for Event-Based Temporal Modeling and Beyond

#1311 · Chen Song, Zhenxiao Liang, Bo Sun, Qixing Huang

MambaLLIE: Implicit Retinex-Aware Low Light Enhancement with Global-then-Local State Space

#1400 · Jiangwei Weng, Zhiqiang Yan, Ying Tai, Jianjun Qian, Jian Yang, Jun Li

Efficient Temporal Action Segmentation via Boundary-aware Query Voting

#1401 · Peiyao Wang, Yuewei Lin, Erik Blasch, jie wei, Haibin Ling

Generalizable and Animatable Gaussian Head Avatar

#1402 · Xuangeng Chu, Tatsuya Harada

GOMAA-Geo: GOal Modality Agnostic Active Geo-localization

#1403 · Anindya Sarkar, Srikumar Sastry, Aleksis Pirinen, Chongjie Zhang, Nathan Jacobs, Yevgeniy Vorobeychik

Rethinking Imbalance in Image Super-Resolution for Efficient Inference

#1404 · Wei Yu, Bowen Yang, Liu Qinglin, Jianing Li, Shengping Zhang, Xiangyang Ji

DEX: Data Channel Extension for Efficient CNN Inference on Tiny AI Accelerators

#1405 · Taesik Gong, Fahim Kawsar, Chulhong Min

Splatter a Video: Video Gaussian Representation for Versatile Processing

#1406 · Yang-Tian Sun, Yihua Huang, Lin Ma, Xiaoyang Lyu, Yan-Pei Cao, Xiaojuan Qi

VCR-GauS: View Consistent Depth-Normal Regularizer for Gaussian Surface Reconstruction

#1407 · Hanlin Chen, Fangyin Wei, Chen Li, Tianxin Huang, Yunsong Wang, Gim Hee Lee

Reconstruction of Manipulated Garment with Guided Deformation Prior

#1408 · Ren Li, Corentin Dumery, Zhantao Deng, Pascal Fua

GenRec: Unifying Video Generation and Recognition with Diffusion Models

#1409 · Zejia Weng, Xitong Yang, Zhen Xing, Zuxuan Wu, Yu-Gang Jiang

MultiPull: Detailing Signed Distance Functions by Pulling Multi-Level Queries at Multi-Step

#1410 · Takeshi Noda, Chao Chen, Weiqi Zhang, Xinhai Liu, Yu-Shen Liu, Zhizhong Han

Multi-times Monte Carlo Rendering for Inter-reflection Reconstruction

#1411 · Tengjie Zhu, Zhuo Chen, Jingnan Gao, Yichao Yan, Xiaokang Yang

Latent Intrinsics Emerge from Training to Relight

#1500 · Xiao Zhang, William Gao, Seemandhar Jain, Michael Maire, David Forsyth, Anand Bhattad

AdaptiveISP: Learning an Adaptive Image Signal Processor for Object Detection

#1501 · Yujin Wang, Tianyi Xu, Zhang Fan, Tianfan Xue, Jinwei Gu

Conjugated Semantic Pool Improves OOD Detection with Pre-trained Vision-Language Models

#1502 · Mengyuan Chen, Junyu Gao, Changsheng Xu

DeBaRA: Denoising-Based 3D Room Arrangement Generation

#1503 · Léopold Maillard, Nicolas Sereyjol-Garros, Tom Durand, Maks Ovsjanikov

Temporally Consistent Atmospheric Turbulence Mitigation with Neural Representations

#1504 · Haoming Cai, Jingxi Chen, Brandon Feng, Weiyun Jiang, Mingyang Xie, Kevin Zhang, Cornelia Fermuller, Yiannis Aloimonos, Ashok Veeraraghavan, Chris Metzler

ResAD: A Simple Framework for Class Generalizable Anomaly Detection

#1505 · Xincheng Yao, Zixin Chen, Chao Gao, Guangtao Zhai, Chongyang Zhang

Rethinking No-reference Image Exposure Assessment from Holism to Pixel: Models, Datasets and Benchmarks

#1506 · Shuai He, Shuntian Zheng, Anlong Ming, Banyu Wu, Huadong Ma

Advancing Open-Set Domain Generalization Using Evidential Bi-Level Hardest Domain Scheduler

#1507 · Kunyu Peng, Di Wen, Kailun Yang, Ao Luo, Yufan Chen, Jia Fu, M. Saquib Sarfraz, Alina Roitberg, Rainer Stiefelhagen

Generate Universal Adversarial Perturbations for Few-Shot Learning

#1508 · Yiman Hu, Yixiong Zou, Ruixuan Li, Yuhua Li

Continual Learning in the Frequency Domain

#1509 · RuiQi Liu, Boyu Diao, Libo Huang, Zijia An, Zhulin An, Yongjun Xu

Forgetting, Ignorance or Myopia: Revisiting Key Challenges in Online Continual Learning

#1510 · Wang Xinrui, Chuanxing Geng, Wenhai Wan, Shao-Yuan Li, Songcan Chen

Multi-Scale VMamba: Hierarchy in Hierarchy Visual State Space Model

#1511 · Yuheng Shi, Minjing Dong, Chang Xu

Latent Representation Matters: Human-like Sketches in One-shot Drawing Tasks

#1600 · Victor Boutin, Rishav Mukherji, Aditya Agrawal, Sabine Muzellec, Thomas Fel, Thomas Serre, Rufin VanRullen

How Control Information Influences Multilingual Text Image Generation and Editing?

#1601 · Boqiang Zhang, Zuan Gao, Yadong Qu, Hongtao Xie

AsCAN: Asymmetric Convolution-Attention Networks for Efficient Recognition and Generation

#1602 · Anil Kag, n n, Jierun Chen, Junli Cao, Willi Menapace, Aliaksandr Siarohin, Sergey Tulyakov, Jian Ren

Constant Acceleration Flow

#1603 · Dogyun Park, Sojin Lee, Sihyeon Kim, Taehoon Lee, Youngjoon Hong, Hyunwoo Kim

In-N-Out: Lifting 2D Diffusion Prior for 3D Object Removal via Tuning-Free Latents Alignment

#1604 · Dongting Hu, Huan Fu, Jiaxian Guo, Liuhua Peng, Tingjin Chu, Feng Liu, Tongliang Liu, Mingming Gong

Ctrl-X: Controlling Structure and Appearance for Text-To-Image Generation Without Guidance

#1605 · Kuan Heng Lin, Sicheng Mo, Ben Klingher, Fangzhou Mu, Bolei Zhou

HairDiffusion: Vivid Multi-Colored Hair Editing via Latent Diffusion

#1606 · Yu Zeng, Yang Zhang, Liu Jiachen, Linlin Shen, Kaijun Deng, Weizhao He, Jinbao Wang

Conditional Controllable Image Fusion

#1607 · Bing Cao, Xingxin Xu, Pengfei Zhu, Qilong Wang, Qinghua Hu

Aligning Diffusion Models by Optimizing Human Utility

#1608 · Shufan Li, Konstantinos Kallidromitis, Akash Gokul, Yusuke Kato, Kazuki Kozuka

Stable-Pose: Leveraging Transformers for Pose-Guided Text-to-Image Generation

#1609 · Jiajun Wang, Morteza Ghahremani Boozandani, Yitong Li, Björn Ommer, Christian Wachinger

Exploring Low-Dimensional Subspace in Diffusion Models for Controllable Image Editing

#1610 · Siyi Chen, Huijie Zhang, Minzhe Guo, Yifu Lu, Peng Wang, Qing Qu

Codec Avatar Studio: Paired Human Captures for Complete, Driveable, and Generalizable Avatars

#1611 · Julieta Martinez, Emily Kim, Javier Romero, Timur Bagautdinov, Shunsuke Saito, Shoou-I Yu, Stuart Anderson, Michael Zollhöfer, Te-Li Wang, Shaojie Bai, Shih-En Wei, Rohan Joshi, Wyatt Borsos, Tomas Simon, Jason Saragih, Paul Theodosis, Alexander Greene, Anjani Josyula, Silvio Maeta, Andrew Jewett, Simion Venshtain, Christopher Heilman, Yueh-Tung Chen, Sidi Fu, Mohamed Elshaer, Tingfang Du, Longhua Wu, Shen-Chi Chen, Kai Kang, Michael Wu, Youssef Emad, Steven Longay, Ashley Brewer, Hitesh Shah, James Booth, Taylor Koska, Kayla Haidle, Joanna Hsu, Thomas Dauer, Peter Selednik, Tim Godisart, Scott Ardisson, Matthew Cipperly, Ben Humberston, Lon Farr, Bob Hansen, Peihong Guo, Dave Braun, Steven Krenn, He Wen, Lucas Evans, Natalia Fadeeva, Matthew Stewart, Gabriel Schwartz, Divam Gupta, Gyeongsik Moon, Kaiwen Guo, Yuan Dong, Yichen Xu, Takaaki Shiratori, Fabian Prada Nino, Bernardo Pires, Bo Peng, Julia Buffalini, Autumn Trimble, Kevyn McPhail, Melissa Schoeller, Yaser Sheikh

AirSketch: Generative Motion to Sketch

#1700 · Hui Xian Grace Lim, Xuanming Cui, Yogesh Rawat, Ser Nam Lim

CemiFace: Center-based Semi-hard Synthetic Face Generation for Face Recognition

#1701 · Zhonglin Sun, Siyang Song, Ioannis Patras, Georgios Tzimiropoulos

Scribbles for All: Benchmarking Scribble Supervised Segmentation Across Datasets

#1702 · Wolfgang Boettcher, Lukas Hoyer, Ozan Unal, Jan Eric Lenssen, Bernt Schiele

Unleashing the Potential of the Diffusion Model in Few-shot Semantic Segmentation

#1703 · Muzhi Zhu, Yang Liu, Zekai Luo, Chenchen Jing, Hao Chen, Guangkai Xu, Xinlong Wang, Chunhua Shen

Unsupervised Modality Adaptation with Text-to-Image Diffusion Models for Semantic Segmentation

#1704 · Ruihao Xia, Yu Liang, Peng-Tao Jiang, Hao Zhang, Bo Li, Yang Tang, Pan Zhou

SpelsNet: Surface Primitive Elements Segmentation by B-Rep Graph Structure Supervision

#1705 · Kseniya Cherenkova, Elona Dupont, Anis Kacem, Gleb Gusev, Djamila Aouada

Federated Black-Box Adaptation for Semantic Segmentation

#1706 · Jay Paranjape, Shameema Sikder, S. Vedula, Vishal Patel

Boosting Weakly Supervised Referring Image Segmentation via Progressive Comprehension

#1707 · Zaiquan Yang, Yuhao LIU, Jiaying Lin, Gerhard Hancke, Rynson Lau

SSA-Seg: Semantic and Spatial Adaptive Pixel-level Classifier for Semantic Segmentation

#1708 · Xiaowen Ma, Zhen-Liang Ni, Xinghao Chen

SlimSAM: 0.1% Data Makes Segment Anything Slim

#1709 · Zigeng Chen, Gongfan Fang, Xinyin Ma, Xinchao Wang

Towards Open-Vocabulary Semantic Segmentation Without Semantic Labels

#1710 · Heeseong Shin, Chaehyun Kim, Sunghwan Hong, Seokju Cho, Anurag Arnab, Paul Hongsuck Seo, Seungryong Kim

Uncertainty-aware Fine-tuning of Segmentation Foundation Models

#1711 · Kangning Liu, Brian Price, Jason Kuen, Yifei Fan, Zijun Wei, Luis Figueroa, Krzysztof Geras, Carlos Fernandez-Granda

Extending Video Masked Autoencoders to 128 frames

#1800 · Nitesh Bharadwaj Gundavarapu, Luke Friedman, Raghav Goyal, Chaitra Hegde, Eirikur Agustsson, Sagar Waghmare, Mikhail Sirotenko, Ming-Hsuan Yang, Tobias Weyand, Boqing Gong, Leonid Sigal

Streaming Long Video Understanding with Large Language Models

#1801 · Rui Qian, Xiaoyi Dong, Pan Zhang, Yuhang Zang, Shuangrui Ding, Dahua Lin, Jiaqi Wang

DreamScene4D: Dynamic Multi-Object Scene Generation from Monocular Videos

#1802 · Wen-Hsuan Chu, Lei Ke, Katerina Fragkiadaki

ChatTracker: Enhancing Visual Tracking Performance via Chatting with Multimodal Large Language Model

#1803 · Yiming Sun, Fan Yu, Shaoxiang Chen, Yu Zhang, Junwei Huang, Yang Li, Chenhui Li, Changbo Wang

From an Image to a Scene: Learning to Imagine the World from a Million 360° Videos

#1804 · Matthew Wallingford, Anand Bhattad, Aditya Kusupati, Vivek Ramanujan, Matt Deitke, Aniruddha Kembhavi, Roozbeh Mottaghi, Wei-Chiu Ma, Ali Farhadi

Vista: A Generalizable Driving World Model with High Fidelity and Versatile Controllability

#1805 · Shenyuan Gao, Jiazhi Yang, Li Chen, Kashyap Chitta, Yihang Qiu, Andreas Geiger, Jun Zhang, Hongyang Li

VideoTetris: Towards Compositional Text-to-Video Generation

#1806 · Ye Tian, Ling Yang, Haotian Yang, Yuan Gao, Yufan Deng, Xintao Wang, Zhaochen Yu, Xin Tao, Pengfei Wan, Di ZHANG, Bin CUI

Motion Consistency Model: Accelerating Video Diffusion with Disentangled Motion-Appearance Distillation

#1807 · Yuanhao Zhai, Kevin Lin, Zhengyuan Yang, Linjie Li, Jianfeng Wang, Chung-Ching Lin, DAVID DOERMANN, Junsong Yuan, Lijuan Wang

VASA-1: Lifelike Audio-Driven Talking Faces Generated in Real Time

#1808 · Sicheng Xu, Guojun Chen, Yu-Xiao Guo, Jiaolong Yang, Chong Li, Zhenyu Zang, Yizhong Zhang, Xin Tong, Baining Guo

Boosting Text-to-Video Generative Model with MLLMs Feedback

#1809 · Xun Wu, Shaohan Huang, Guolong Wang, Jing Xiong, Furu Wei

3DGS-Enhancer: Enhancing Unbounded 3D Gaussian Splatting with View-consistent 2D Diffusion Priors

#1810 · Xi Liu, Chaoyi Zhou, Siyu Huang

Zero-Shot Event-Intensity Asymmetric Stereo via Visual Prompting from Image Domain

#1811 · Hanyue Lou, Jinxiu Liang, Minggui Teng, Bin Fan, Yong Xu, Boxin Shi

Video Token Merging for Long Video Understanding

#1900 · Seon-Ho Lee, Jue Wang, Zhikang Zhang, David Fan, Xinyu Li

Data Distribution Valuation

#1901 · Xinyi Xu, Shuaiqi Wang, Chuan Sheng Foo, Bryan Kian Hsiang Low, Giulia Fanti

CLUES: Collaborative Private-domain High-quality Data Selection for LLMs via Training Dynamics

#1902 · Wanru Zhao, Hongxiang Fan, Shell Xu Hu, Wangchunshu Zhou, Nicholas Lane

The ALCHEmist: Automated Labeling 500x CHEaper than LLM Data Annotators

#1903 · Tzu-Heng Huang, Catherine Cao, Vaishnavi Bhargava, Frederic Sala

$\texttt{dattri}$: A Library for Efficient Data Attribution

#1904 · Junwei Deng, Ting-Wei Li, Shiyuan Zhang, Shixuan Liu, Yijun Pan, Hao Huang, Xinhe Wang, Pingbang Hu, Xingjian Zhang, Jiaqi Ma

Image Textualization: An Automatic Framework for Generating Rich and Detailed Image Descriptions

#1905 · Renjie Pi, Jianshu Zhang, Jipeng Zhang, Rui Pan, Zhekai Chen, Tong Zhang

Pearls from Pebbles: Improved Confidence Functions for Auto-labeling

#1906 · Harit Vishwakarma, Yi Chen, Sui Jiet Tay, Satya Sai Srinath Namburi, Frederic Sala, Ramya Korlakai Vinayak

CSPG: Crossing Sparse Proximity Graphs for Approximate Nearest Neighbor Search

#1907 · Ming Yang, Yuzheng Cai, Weiguo Zheng

Improving Neural ODE Training with Temporal Adaptive Batch Normalization

#1908 · Su Zheng, Zhengqi Gao, Fan-Keng Sun, Duane Boning, Bei Yu, Martin D. Wong

A robust inlier identification algorithm for point cloud registration via $\mathbf{\ell_0}$-minimization

#1909 · Yinuo Jiang, Xiuchuan Tang, Cheng Cheng, Ye Yuan

Are nuclear masks all you need for improved out-of-domain generalisation? A closer look at cancer classification in histopathology

#1910 · Dhananjay Tomar, Alexander Binder, Andreas Kleppe

CondTSF: One-line Plugin of Dataset Condensation for Time Series Forecasting

#1911 · Jianrong Ding, Zhanyu Liu, Guanjie Zheng, Haiming Jin, Linghe Kong

Orchid: Flexible and Data-Dependent Convolution for Sequence Modeling

#2000 · Mahdi Karami, Ali Ghodsi

Unraveling the Gradient Descent Dynamics of Transformers

#2001 · Bingqing Song, Boran Han, Shuai Zhang, Jie Ding, Mingyi Hong

Megalodon: Efficient LLM Pretraining and Inference with Unlimited Context Length

#2002 · Xuezhe Ma, Xiaomeng Yang, Wenhan Xiong, Beidi Chen, LILI YU, Hao Zhang, Jonathan May, Luke Zettlemoyer, Omer Levy, Chunting Zhou

Unveiling the Hidden Structure of Self-Attention via Kernel Principal Component Analysis

#2003 · Rachel S.Y. Teo, Tan Nguyen

QT-ViT: Improving Linear Attention in ViT with Quadratic Taylor Expansion

#2004 · Yixing Xu, Chao Li, Dong Li, Xiao Sheng, Fan Jiang, Lu Tian, Emad Barsoum

Demystify Mamba in Vision: A Linear Attention Perspective

#2005 · Dongchen Han, Ziyi Wang, Zhuofan Xia, Yizeng Han, Yifan Pu, Chunjiang Ge, Jun Song, Shiji Song, Bo Zheng, Gao Huang

On the Use of Anchoring for Training Vision Models

#2006 · Vivek Sivaraman Narayanaswamy, Kowshik Thopalli, Rushil Anirudh, Yamen Mubarka, Wesam Sakla, Jay Thiagarajan

BLAST: Block-Level Adaptive Structured Matrices for Efficient Deep Neural Network Inference

#2007 · Changwoo Lee, Soo Min Kwon, Qing Qu, Hun-Seok Kim

Efficient Leverage Score Sampling for Tensor Train Decomposition

#2008 · Vivek Bharadwaj, Beheshteh Toloueirakhshan, Osman Asif Malik, Guillaume Rabusseau

Normalization Layer Per-Example Gradients are Sufficient to Predict Gradient Noise Scale in Transformers

#2009 · Gavia Gray, aman tiwari, Shane Bergsma, Joel Hestness

SlimGPT: Layer-wise Structured Pruning for Large Language Models

#2011 · Gui Ling, Ziyang Wang, YuliangYan, Qingwen Liu

Graph Convolutions Enrich the Self-Attention in Transformers!

#2100 · Jeongwhan Choi, Hyowon Wi, Jayoung Kim, Yehjin Shin, Kookjin Lee, Nathaniel Trask, Noseong Park

Order-Independence Without Fine Tuning

#2101 · Reid McIlroy-Young, Katrina Brown, Conlan Olson, Linjun Zhang, Cynthia Dwork

Robustly overfitting latents for flexible neural image compression

#2102 · Yura Perugachi Diaz, Arwin Gansekoele, Sandjai Bhulai

Asynchronous Perception Machine for Efficient Test Time Training

#2103 · Rajat Modi, Yogesh Rawat

Unified Insights: Harnessing Multi-modal Data for Phenotype Imputation via View Decoupling

#2104 · Qiannan Zhang, Weishen Pan, Zilong Bai, Chang Su, Fei Wang

Semi-Open 3D Object Retrieval via Hierarchical Equilibrium on Hypergraph

#2105 · Yang Xu, Yifan Feng, Jun Zhang, Jun-Hai Yong, Yue Gao

Transferring disentangled representations: bridging the gap between synthetic and real images

#2106 · Jacopo Dapueto, Nicoletta Noceti, Francesca Odone

Dual-Perspective Activation: Efficient Channel Denoising via Joint Forward-Backward Criterion for Artificial Neural Networks

#2107 · Tian Qiu, Chenchao Gao, Zunlei Feng, Jie Lei, Bingde Hu, Xingen Wang, Yi Gao, Mingli Song

A Gradient Accumulation Method for Dense Retriever under Memory Constraint

#2108 · Jaehee Kim, Yukyung Lee, Pilsung Kang

Learning Structure-Aware Representations of Dependent Types

#2109 · Konstantinos Kogkalidis, Orestis Melkonian, Jean-Philippe Bernardy

Neural Isometries: Taming Transformations for Equivariant ML

#2110 · Thomas Mitchel, Michael Taylor, Vincent Sitzmann

D2R2: Diffusion-based Representation with Random Distance Matching for Tabular Few-shot Learning

#2111 · Ruoxue Liu, Linjiajie Fang, Wenjia Wang, Bingyi Jing

LoCo: Learning 3D Location-Consistent Image Features with a Memory-Efficient Ranking Loss

#2200 · Dominik Kloepfer, João Henriques, Dylan Campbell

Self-supervised Transformation Learning for Equivariant Representations

#2201 · Jaemyung Yu, Jaehyun Choi, DongJae Lee, HyeongGwon Hong, Junmo Kim

You Don’t Need Domain-Specific Data Augmentations When Scaling Self-Supervised Learning

#2202 · Théo Moutakanni, Maxime Oquab, Marc Szafraniec, Maria Vakalopoulou, Piotr Bojanowski

Achieving Domain-Independent Certified Robustness via Knowledge Continuity

#2203 · Alan Sun, Chiyu Ma, Kenneth Ge, Soroush Vosoughi

Robust Graph Neural Networks via Unbiased Aggregation

#2204 · Zhichao Hou, Ruiqi Feng, Tyler Derr, Xiaorui Liu

Predicting the Performance of Foundation Models via Agreement-on-the-Line

#2205 · Rahul Saxena, Taeyoun Kim, Aman Mehra, Christina Baek, J. Zico Kolter, Aditi Raghunathan

DiffHammer: Rethinking the Robustness of Diffusion-Based Adversarial Purification

#2206 · Kaibo Wang, Xiaowen Fu, Yuxuan Han, Yang Xiang

Relational Verification Leaps Forward with RABBit

#2207 · Tarun Suresh, Debangshu Banerjee, Gagandeep Singh

Catastrophic Goodhart: regularizing RLHF with KL divergence does not mitigate heavy-tailed reward misspecification

#2208 · Thomas Kwa, Drake Thomas, Adrià Garriga-Alonso

Learning Structured Representations with Hyperbolic Embeddings

#2209 · Aditya Sinha, Siqi Zeng, Makoto Yamada, Han Zhao

Improving Equivariant Model Training via Constraint Relaxation

#2210 · Stefanos Pertigkiozoglou, Evangelos Chatzipantazis, Shubhendu Trivedi, Kostas Daniilidis

Chimera: Effectively Modeling Multivariate Time Series with 2-Dimensional State Space Models

#2211 · Ali Behrouz, Michele Santacatterina, Ramin Zabih

Cross-video Identity Correlating for Person Re-identification Pre-training

#2300 · Jialong Zuo, Ying Nie, Hanyu Zhou, Huaxin Zhang, Haoyu Wang, Tianyu Guo, Nong Sang, Changxin Gao

In-Context Symmetries: Self-Supervised Learning through Contextual World Models

#2301 · Sharut Gupta, Chenyu Wang, Yifei Wang, Tommi Jaakkola, Stefanie Jegelka

How JEPA Avoids Noisy Features: The Implicit Bias of Deep Linear Self Distillation Networks

#2302 · Etai Littwin, Omid Saremi, Madhu Advani, Vimal Thilak, Preetum Nakkiran, Chen Huang, Joshua Susskind

Your contrastive learning problem is secretly a distribution alignment problem

#2303 · Zihao Chen, Chi-Heng Lin, Ran Liu, Jingyun Xiao, Eva Dyer

Variation Spaces for Multi-Output Neural Networks: Insights on Multi-Task Learning and Network Compression

#2304 · Joseph Shenouda, Rahul Parhi, Kangwook Lee, Robert Nowak

Reparameterization invariance in approximate Bayesian inference

#2305 · Hrittik Roy, Marco Miani, Carl Henrik Ek, Philipp Hennig, Marvin Pförtner, Lukas Tatzel, Søren Hauberg

Unlocking Tokens as Data Points for Generalization Bounds on Larger Language Models

#2306 · Sanae Lotfi, Yilun Kuang, Marc Finzi, Brandon Amos, Micah Goldblum, Andrew Wilson

Separations in the Representational Capabilities of Transformers and Recurrent Architectures

#2307 · Satwik Bhattamishra, Michael Hahn, Phil Blunsom, Varun Kanade

Stable Minima Cannot Overfit in Univariate ReLU Networks: Generalization by Large Step Sizes

#2308 · Dan Qiao, Kaiqi Zhang, Esha Singh, Daniel Soudry, Yu-Xiang Wang

Connectivity Shapes Implicit Regularization in Matrix Factorization Models for Matrix Completion

#2309 · Zhiwei Bai, Jiajie Zhao, Yaoyu Zhang

Masked Hard-Attention Transformers Recognize Exactly the Star-Free Languages

#2310 · Andy Yang, David Chiang, Dana Angluin

The Implicit Bias of Gradient Descent on Separable Multiclass Data

#2311 · Hrithik Ravi, Clay Scott, Daniel Soudry, Yutong Wang

How does Architecture Influence the Base Capabilities of Pre-trained Language Models? A Case Study Based on FFN-Wider and MoE Transformers

#2400 · Xin Lu, Yanyan Zhao, Bing Qin, Liangyu Huo, Qing Yang, Dongliang Xu

Implicit Bias of Mirror Flow on Separable Data

#2401 · Scott Pesme, Radu-Alexandru Dragomir, Nicolas Flammarion

Average gradient outer product as a mechanism for deep neural collapse

#2402 · Daniel Beaglehole, Peter Súkeník, Marco Mondelli, Misha Belkin

Super Consistency of Neural Network Landscapes and Learning Rate Transfer

#2403 · Lorenzo Noci, Alexandru Meterez, Thomas Hofmann, Antonio Orvieto

Surge Phenomenon in Optimal Learning Rate and Batch Size Scaling

#2404 · Shuaipeng Li, Penghao Zhao, Hailin Zhang, Xingwu Sun, Hao Wu, Dian Jiao, Weiyan Wang, Chengjun Liu, Zheng Fang, Jinbao Xue, Yangyu Tao, Bin CUI, Di Wang

Can neural operators always be continuously discretized?

#2405 · Takashi Furuya, Michael Puthawala, Matti Lassas, Maarten V. de Hoop

Provable Tempered Overfitting of Minimal Nets and Typical Nets

#2406 · Itamar Harel, William Hoza, Gal Vardi, Itay Evron, Nati Srebro, Daniel Soudry

The Impact of Geometric Complexity on Neural Collapse in Transfer Learning

#2407 · Michael Munn, Benoit Dherin, Javier Gonzalvo

Deep Learning Through A Telescoping Lens: A Simple Model Provides Empirical Insights On Grokking, Gradient Boosting & Beyond

#2408 · Alan Jeffares, Alicia Curth, Mihaela van der Schaar

Non-asymptotic Convergence of Training Transformers for Next-token Prediction

#2409 · Ruiquan Huang, Yingbin Liang, Jing Yang

Towards a theory of how the structure of language is acquired by deep neural networks

#2410 · Francesco Cagnetta, Matthieu Wyart

On Neural Networks as Infinite Tree-Structured Probabilistic Graphical Models

#2411 · Boyao Li, Alexander Thomson, houssam nassif, Matthew Engelhard, David Page

Ex Uno Pluria: Insights on Ensembling in Low Precision Number Systems

#2500 · Giung Nam, Juho Lee

FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion

#2501 · Zhenheng Tang, Yonggang Zhang, Peijie Dong, Yiu-ming Cheung, Amelie Zhou, Bo Han, Xiaowen Chu

Mixture of Nested Experts: Adaptive Processing of Visual Tokens

#2502 · Gagan Jain, Nidhi Hegde, Aditya Kusupati, Arsha Nagrani, Shyamal Buch, Prateek Jain, Anurag Arnab, Sujoy Paul

SDP4Bit: Toward 4-bit Communication Quantization in Sharded Data Parallelism for LLM Training

#2503 · Jinda Jia, Cong Xie, Hanlin Lu, Daoce Wang, Hao Feng, Chengming Zhang, Baixi Sun, Haibin Lin, Zhi Zhang, Xin Liu, Dingwen Tao

Layer-Adaptive State Pruning for Deep State Space Models

#2504 · Minseon Gwak, Seongrok Moon, Joohwan Ko, PooGyeon Park

NoiseGPT: Label Noise Detection and Rectification through Probability Curvature

#2505 · Haoyu Wang, Zhuo Huang, Zhiwei Lin, Tongliang Liu

DISP-LLM: Dimension-Independent Structural Pruning for Large Language Models

#2506 · Shangqian Gao, Chi-Heng Lin, Ting Hua, Zheng Tang, Yilin Shen, Hongxia Jin, Yen-Chang Hsu

MatFormer: Nested Transformer for Elastic Inference

#2507 · Fnu Devvrit, Sneha Kudugunta, Aditya Kusupati, Tim Dettmers, Kaifeng Chen, Inderjit Dhillon, Yulia Tsvetkov, Hanna Hajishirzi, Sham Kakade, Ali Farhadi, Prateek Jain

Toward Efficient Inference for Mixture of Experts

#2508 · Haiyang Huang, Newsha Ardalani, Anna Sun, Liu Ke, Shruti Bhosale, Hsien-Hsin Lee, Carole-Jean Wu, Benjamin Lee

Taming the Long Tail in Human Mobility Prediction

#2509 · Xiaohang Xu, Renhe Jiang, Chuang Yang, zipei fan, Kaoru Sezaki

Director3D: Real-world Camera Trajectory and 3D Scene Generation from Text

#2510 · Xinyang Li, Zhangyu Lai, Linning Xu, Yansong Qu, Liujuan Cao, ShengChuan Zhang, Bo Dai, Rongrong Ji

SMART: Scalable Multi-agent Real-time Motion Generation via Next-token Prediction

#2511 · Wei Wu, Xiaoxin Feng, Ziyan Gao, Yuheng KAN

Dynamic Conditional Optimal Transport through Simulation-Free Flows

#2600 · Gavin Kerrigan, Giosue Migliorini, Padhraic Smyth

SCube: Instant Large-Scale Scene Reconstruction using VoxSplats

#2601 · Xuanchi Ren, Yifan Lu, hanxue liang, Jay Zhangjie Wu, Huan Ling, Mike Chen, Sanja Fidler, Francis Williams, Jiahui Huang

GAVEL: Generating Games via Evolution and Language Models

#2602 · Graham Todd, Alexander G Padula, Matthew Stephenson, Eric Piette, Dennis Soemers, Julian Togelius

Data Attribution for Text-to-Image Models by Unlearning Synthesized Images

#2603 · Sheng-Yu Wang, Aaron Hertzmann, Alexei Efros, Jun-Yan Zhu, Richard Zhang

DHA: Learning Decoupled-Head Attention from Transformer Checkpoints via Adaptive Heads Fusion

#2604 · Yilong Chen, Linhao Zhang, Junyuan Shang, Zhenyu Zhang, Tingwen Liu, Shuohuan Wang, YU SUN

TrajCLIP: Pedestrian trajectory prediction method using contrastive learning and idempotent networks

#2605 · Pengfei Yao, Yinglong Zhu, Huikun Bi, Tianlu Mao, Zhaoqi Wang

Doob's Lagrangian: A Sample-Efficient Variational Approach to Transition Path Sampling

#2606 · Yuanqi Du, Michael Plainer, Rob Brekelmans, Chenru Duan, Frank Noe, Carla Gomes, Alan Aspuru-Guzik, Kirill Neklyudov

SpaceByte: Towards Deleting Tokenization from Large Language Modeling

#2607 · Kevin Slagle

MeshXL: Neural Coordinate Field for Generative 3D Foundation Models

#2608 · Sijin Chen, Xin Chen, Anqi Pang, Xianfang Zeng, Wei Cheng, Yijun Fu, Fukun Yin, Billzb Wang, Jingyi Yu, Gang Yu, BIN FU, Tao Chen

GaussianCube: A Structured and Explicit Radiance Representation for 3D Generative Modeling

#2609 · Bowen Zhang, Yiji Cheng, Jiaolong Yang, Chunyu Wang, Feng Zhao, Yansong Tang, Dong Chen, Baining Guo

Prediction-Powered Ranking of Large Language Models

#2610 · Ivi Chatzi, Eleni Straitouri, Suhas Thejaswi, Manuel Rodriguez

Inference of Neural Dynamics Using Switching Recurrent Neural Networks

#2611 · Yongxu Zhang, Shreya Saxena

Scene Graph Disentanglement and Composition for Generalizable Complex Image Generation

#2700 · Yunnan Wang, Ziqiang Li, Wenyao Zhang, Zequn Zhang, Baao Xie, Xihui Liu, Wenjun Zeng, Xin Jin

Utilizing Image Transforms and Diffusion Models for Generative Modeling of Short and Long Time Series

#2701 · Ilan Naiman, Nimrod Berman, Itai Pemper, Idan Arbiv, Gal Fadlon, Omri Azencot

Unleashing the Denoising Capability of Diffusion Prior for Solving Inverse Problems

#2702 · Jiawei Zhang, Jiaxin Zhuang, Cheng Jin, Gen Li, Yuantao Gu

ReplaceAnything3D: Text-Guided Object Replacement in 3D Scenes with Compositional Scene Representations

#2703 · Edward Bartrum, Thu Nguyen-Phuoc, Christopher Xie, Zhengqin Li, Numair Khan, Armen Avetisyan, Douglas Lanman, Lei Xiao

Generative Modelling of Structurally Constrained Graphs

#2704 · Manuel Madeira, Clement Vignac, Dorina Thanou, Pascal Frossard

On improved Conditioning Mechanisms and Pre-training Strategies for Diffusion Models

#2705 · Tariq Berrada Ifriqi, Pietro Astolfi, Melissa Hall, Reyhane Askari Hemmat, Yohann Benchetrit, Marton Havasi, Matthew Muckley, Karteek Alahari, Adriana Romero-Soriano, Jakob Verbeek, Michal Drozdzal

Divide-and-Conquer Posterior Sampling for Denoising Diffusion priors

#2706 · Yazid Janati, Badr MOUFAD, Alain Durmus, Eric Moulines, Jimmy Olsson

Consistency Diffusion Bridge Models

#2707 · Guande He, Kaiwen Zheng, Jianfei Chen, Fan Bao, Jun Zhu

Conditioning non-linear and infinite-dimensional diffusion processes

#2708 · Elizabeth L. Baker, Gefan Yang, Michael Severinsen, Christy Hipsley, Stefan Sommer

EDT: An Efficient Diffusion Transformer Framework Inspired by Human-like Sketching

#2709 · Xinwang Chen, Ning Liu, Yichen Zhu, Feifei Feng, Jian Tang

RealCompo: Balancing Realism and Compositionality Improves Text-to-Image Diffusion Models

#2710 · Xinchen Zhang, Ling Yang, YaQi Cai, Zhaochen Yu, Kai-Ni Wang, xie jiake, Ye Tian, Minkai Xu, Yong Tang, Yujiu Yang, Bin CUI

Diffusion Tuning: Transferring Diffusion Models via Chain of Forgetting

#2711 · Jincheng Zhong, Xingzhuo Guo, Jiaxiang Dong, Mingsheng Long

MIDGArD: Modular Interpretable Diffusion over Graphs for Articulated Designs

#2800 · Quentin Leboutet, Nina Wiedemann, zhipeng cai, Michael Paulitsch, Kai Yuan

EM Distillation for One-step Diffusion Models

#2801 · Sirui Xie, Zhisheng Xiao, Diederik Kingma, Tingbo Hou, Ying Nian Wu, Kevin Murphy, Tim Salimans, Ben Poole, Ruiqi Gao

Towards Safe Concept Transfer of Multi-Modal Diffusion via Causal Representation Editing

#2802 · Peiran Dong, Bingjie WANG, Song Guo, Junxiao Wang, Jie ZHANG, Zicong Hong

An Expectation-Maximization Algorithm for Training Clean Diffusion Models from Corrupted Observations

#2803 · Weimin Bai, Yifei Wang, Wenzheng Chen, He Sun

DiffusionBlend: Learning 3D Image Prior through Position-aware Diffusion Score Blending for 3D Computed Tomography Reconstruction

#2804 · Bowen Song, Jason Hu, Zhaoxu Luo, Jeffrey Fessler, Liyue Shen

On Statistical Rates and Provably Efficient Criteria of Latent Diffusion Transformers (DiTs)

#2805 · Jerry Yao-Chieh Hu, Weimin Wu, Zhuoru Li, Sophia Pi, Zhao Song, Han Liu

Understanding Hallucinations in Diffusion Models through Mode Interpolation

#2806 · Sumukh K Aithal, Pratyush Maini, Zachary Lipton, J. Zico Kolter

Video Diffusion Models are Training-free Motion Interpreter and Controller

#2807 · Zeqi Xiao, Yifan Zhou, Shuai Yang, Xingang Pan

Finding NeMo: Localizing Neurons Responsible For Memorization in Diffusion Models

#2808 · Dominik Hintersdorf, Lukas Struppek, Kristian Kersting, Adam Dziedzic, Franziska Boenisch

Era3D: High-Resolution Multiview Diffusion using Efficient Row-wise Attention

#2809 · Peng Li, Yuan Liu, Xiaoxiao Long, Feihu Zhang, Cheng Lin, Mengfei Li, Xingqun Qi, Shanghang Zhang, Wei Xue, Wenhan Luo, Ping Tan, Wenping Wang, Qifeng Liu, Yike Guo

Gradient Guidance for Diffusion Models: An Optimization Perspective

#2810 · Yingqing Guo, Hui Yuan, Yukang Yang, Minshuo Chen, Mengdi Wang

Diffusing Differentiable Representations

#2811 · Yash Savani, Marc Finzi, J. Zico Kolter

Association of Objects May Engender Stereotypes: Mitigating Association-Engendered Stereotypes in Text-to-Image Generation

#2900 · Junlei Zhou, Jiashi Gao, Xiangyu Zhao, Xin Yao, Xuetao Wei

LLM Processes: Numerical Predictive Distributions Conditioned on Natural Language

#2901 · James Requeima, John Bronskill, Dami Choi, Richard Turner, David Duvenaud

Towards Global Optimal Visual In-Context Learning Prompt Selection

#2902 · Chengming Xu, Chen Liu, Yikai Wang, Yuan Yao, Yanwei Fu

Lever LM: Configuring In-Context Sequence to Lever Large Vision Language Models

#2903 · Xu Yang, Yingzhe Peng, Haoxuan Ma, Shuo Xu, Chi Zhang, Yucheng Han, Hanwang Zhang

EPIC: Effective Prompting for Imbalanced-Class Data Synthesis in Tabular Data Classification via Large Language Models

#2904 · Jinhee Kim, Taesung Kim, Jaegul Choo

In-Context Learning State Vector with Inner and Momentum Optimization

#2905 · Dongfang Li, zhenyu liu, Xinshuo Hu, Zetian Sun, Baotian Hu, Min Zhang

SearchLVLMs: A Plug-and-Play Framework for Augmenting Large Vision-Language Models by Searching Up-to-Date Internet Knowledge

#2906 · Chuanhao Li, Zhen Li, Chenchen Jing, Shuo Liu, Wenqi Shao, Yuwei Wu, Ping Luo, Yu Qiao, Kaipeng Zhang

Base of RoPE Bounds Context Length

#2907 · Mingyu Xu, Xin Men, Bingning Wang, Qingyu Zhang, Hongyu Lin, Xianpei Han, weipeng chen

Elo Uncovered: Robustness and Best Practices in Language Model Evaluation

#2908 · Meriem Boubdir, Edward Kim, Beyza Ermis, Sara Hooker, Marzieh Fadaee

Molecule Design by Latent Prompt Transformer

#2909 · Deqian Kong, Yuhao Huang, Jianwen Xie, Edouardo Honig, Ming Xu, Shuanghong Xue, Pei Lin, Sanping Zhou, Sheng Zhong, Nanning Zheng, Ying Nian Wu

INDICT: Code Generation with Internal Dialogues of Critiques for Both Security and Helpfulness

#2910 · Hung Le, Doyen Sahoo, Yingbo Zhou, Caiming Xiong, Silvio Savarese

Risk-Averse Fine-tuning of Large Language Models

#2911 · Sapana Chaudhary, Ujwal Dinesha, Dileep Kalathil, Srinivas Shakkottai

TGB 2.0: A Benchmark for Learning on Temporal Knowledge Graphs and Heterogeneous Graphs

#3000 · Julia Gastinger, Shenyang Huang, Michael Galkin, Erfan Loghmani, Ali Parviz, Farimah Poursafaei, Jacob Danovitch, Emanuele Rossi, Ioannis Koutis, Heiner Stuckenschmidt, Reihaneh Rabbany, Guillaume Rabusseau

OccamLLM: Fast and Exact Language Model Arithmetic in a Single Step

#3001 · Owen Dugan, Donato Jiménez-Benetó, Charlotte Loh, Zhuo Chen, Rumen Dangovski, Marin Soljacic

Calibrating Reasoning in Language Models with Internal Consistency

#3002 · Zhihui Xie, Jizhou Guo, Tong Yu, Shuai Li

Learning to Reason via Program Generation, Emulation, and Search

#3003 · Nathaniel Weir, Muhammad Khalifa, Linlu Qiu, Orion Weller, Peter Clark

Can Graph Learning Improve Planning in LLM-based Agents?

#3004 · Xixi Wu, Yifei Shen, Caihua Shan, Kaitao Song, Siwei Wang, Bohang Zhang, Jiarui Feng, Hong Cheng, Wei Chen, Yun Xiong, Dongsheng Li

MR-Ben: A Meta-Reasoning Benchmark for Evaluating System-2 Thinking in LLMs

#3005 · Zhongshen Zeng, Yinhong Liu, Yingjia Wan, Jingyao Li, Pengguang Chen, Jianbo Dai, Yuxuan Yao, Rongwu Xu, Zehan Qi, Wanru Zhao, Linling Shen, Jianqiao Lu, Haochen Tan, Yukang Chen, Hao Zhang, Zhan Shi, Bailin Wang, Zhijiang Guo, Jiaya Jia

How Far Can Transformers Reason? The Globality Barrier and Inductive Scratchpad

#3006 · Emmanuel Abbe, Samy Bengio, Aryo Lotfi, Colin Sandon, Omid Saremi

Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs

#3007 · Xuan Zhang, Chao Du, Tianyu Pang, Qian Liu, Wei Gao, Min Lin

DenseFormer: Enhancing Information Flow in Transformers via Depth Weighted Averaging

#3008 · Matteo Pagliardini, Amirkeivan Mohtashami, François Fleuret, Martin Jaggi

Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction

#3009 · Keyu Tian, Yi Jiang, Zehuan Yuan, BINGYUE PENG, Liwei Wang

ACES: Generating a Diversity of Challenging Programming Puzzles with Autotelic Generative Models

#3010 · Julien Pourcel, Cédric Colas, Gaia Molinaro, Pierre-Yves Oudeyer, Laetitia Teodorescu

BAM! Just Like That: Simple and Efficient Parameter Upcycling for Mixture of Experts

#3011 · Qizhen (Irene) Zhang, Nikolas Gritsch, Dwaraknath Gnaneshwar Talupuru, Simon Guo, David Cairuz, Bharat Venkitesh, Jakob Foerster, Phil Blunsom, Sebastian Ruder, Ahmet Üstün, Acyr Locatelli

Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights

#3100 · Zhikai Chen, Haitao Mao, Jingzhe Liu, Yu Song, Bingheng Li, Wei Jin, Bahare Fatemi, Anton Tsitsulin, Bryan Perozzi, Hui Liu, Jiliang Tang

ProG: A Graph Prompt Learning Benchmark

#3101 · Chenyi Zi, Haihong Zhao, Xiangguo Sun, Yiqing Lin, Hong Cheng, Jia Li

IntraMix: Intra-Class Mixup Generation for Accurate Labels and Neighbors

#3102 · Shenghe Zheng, Hongzhi Wang, Xianglong Liu

TFGDA: Exploring Topology and Feature Alignment in Semi-supervised Graph Domain Adaptation through Robust Clustering

#3103 · Jun Dan, Weiming Liu, Xie, Hua Yu, Shunjie Dong, Yanchao Tan

On the Impact of Feature Heterophily on Link Prediction with Graph Neural Networks

#3104 · Jiong Zhu, Gaotang Li, Yao-An Yang, Jing Zhu, Xuehao Cui, Danai Koutra

Improving Neural Network Surface Processing with Principal Curvatures

#3105 · Josquin Harrison, James Benn, Maxime Sermesant

DropEdge not Foolproof: Effective Augmentation Method for Signed Graph Neural Networks

#3106 · ZEYU ZHANG, Lu Li, Shuyan Wan, Wang, Zhiyi Wang, Zhiyuan Lu, Dong Hao, Wanli Li

Schur Nets: exploiting local structure for equivariance in higher order graph neural networks

#3107 · QINGQI ZHANG, Ruize Xu, Risi Kondor

FedSSP: Federated Graph Learning with Spectral Knowledge and Personalized Preference

#3108 · Zihan Tan, Guancheng Wan, Wenke Huang, Mang Ye

Semantic Routing via Autoregressive Modeling

#3109 · Eric Zhao, Pranjal Awasthi, Zhengdao Chen, Sreenivas Gollapudi, Daniel Delling

Probabilistic Graph Rewiring via Virtual Nodes

#3110 · Chendi Qian, Andrei Manolache, Christopher Morris, Mathias Niepert

Are Your Models Still Fair? Fairness Attacks on Graph Neural Networks via Node Injections

#3111 · Zihan Luo, Hong Huang, Yongkang Zhou, Jiping Zhang, Nuo Chen, Hai Jin

[Re] On the Reproducibility of Post-Hoc Concept Bottleneck Models

#3200 · Gregory Hok Tjoan Go, Diego Canez, Nesta Midavaine, Satchit Chatterji, Ioana Simion

Expectation Alignment: Handling Reward Misspecification in the Presence of Expectation Mismatch

#3201 · Malek Mechergui, Sarath Sreedharan

Posture-Informed Muscular Force Learning for Robust Hand Pressure Estimation

#3202 · Kyungjin Seo, Junghoon Seo, Hanseok Jeong, Sangpil Kim, Sang Ho Yoon

Beyond Single Stationary Policies: Meta-Task Players as Naturally Superior Collaborators

#3203 · Wang Haoming, Zhaoming Tian, Yunpeng Song, Xiangliang Zhang, Zhongmin Cai

UniGAD: Unifying Multi-level Graph Anomaly Detection

#3204 · Yiqing Lin, Jianheng Tang, Chenyi Zi, H. Vicky Zhao, Yuan Yao, Jia Li

A Canonicalization Perspective on Invariant and Equivariant Learning

#3205 · George Ma, Yifei Wang, Derek Lim, Stefanie Jegelka, Yisen Wang

DFA-GNN: Forward Learning of Graph Neural Networks by Direct Feedback Alignment

#3206 · Gongpei Zhao, Tao Wang, Congyan Lang, Yi Jin, Yidong Li, Haibin Ling

SpeAr: A Spectral Approach for Zero-Shot Node Classification

#3207 · Ting Guo, Da Wang, Jiye Liang, Kaihan Zhang, Jianchao Zeng

Exploring Consistency in Graph Representations: from Graph Kernels to Graph Neural Networks

#3208 · Xuyuan Liu, Yinghao Cai, Qihui Yang, Yujun Yan

Continuous Product Graph Neural Networks

#3209 · Aref Einizade, Fragkiskos Malliaros, Jhony H. Giraldo

A Prompt-Based Knowledge Graph Foundation Model for Universal In-Context Reasoning

#3210 · Yuanning Cui, Zequn Sun, Wei Hu

HGDL: Heterogeneous Graph Label Distribution Learning

#3211 · Yufei Jin, Heng Lian, Yi He, Xingquan Zhu

shapiq: Shapley Interactions for Machine Learning

#3300 · Maximilian Muschalik, Hubert Baniecki, Fabian Fumagalli, Patrick Kolpaczki, Barbara Hammer, Eyke Hüllermeier

Training Data Attribution via Approximate Unrolling

#3301 · Juhan Bae, Wu Lin, Jonathan Lorraine, Roger Grosse

Vision Mamba Mender

#3302 · Jiacong Hu, Anda Cao, Zunlei Feng, Shengxuming Zhang, Yi Wang, Lingxiang Jia, Mingli Song

Model Reconstruction Using Counterfactual Explanations: A Perspective From Polytope Theory

#3303 · Pasan Dissanayake, Sanghamitra Dutta

Testing Semantic Importance via Betting

#3304 · Jacopo Teneggi, Jeremias Sulam

One Sample Fits All: Approximating All Probabilistic Values Simultaneously and Efficiently

#3305 · Weida Li, Yaoliang Yu

What Makes and Breaks Safety Fine-tuning? A Mechanistic Study

#3306 · Samyak Jain, Ekdeep S Lubana, Kemal Oksuz, Tom Joy, Philip Torr, Amartya Sanyal, Puneet Dokania

A Concept-Based Explainability Framework for Large Multimodal Models

#3307 · Jayneel Parekh, Pegah KHAYATAN, Mustafa Shukor, Alasdair Newson, Matthieu Cord

Parallel Backpropagation for Shared-Feature Visualization

#3308 · Alexander Lappe, Anna Bognár, Ghazaleh Ghamkahri Nejad, Albert Mukovskiy, Lucas Martini, Martin Giese, Rufin Vogels

Iteration Head: A Mechanistic Study of Chain-of-Thought

#3309 · Vivien Cabannes, Charles Arnal, Wassim Bouaziz, Xingyu Yang, Francois Charton, Julia Kempe

Coarse-to-Fine Concept Bottleneck Models

#3310 · Konstantinos Panousis, Dino Ienco, Diego Marcos

Interpretable Concept-Based Memory Reasoning

#3311 · David Debot, Pietro Barbiero, Francesco Giannini, Gabriele Ciravegna, Michelangelo Diligenti, Giuseppe Marra

Getting More Juice Out of the SFT Data: Reward Learning from Human Demonstration Improves SFT for LLM Alignment

#3400 · Jiaxiang Li, Siliang Zeng, Hoi-To Wai, Chenliang Li, Alfredo Garcia, Mingyi Hong

Model Fusion through Bayesian Optimization in Language Model Fine-Tuning

#3401 · Chaeyun Jang, Hyungi Lee, Jungtaek Kim, Juho Lee

LoFiT: Localized Fine-tuning on LLM Representations

#3402 · Fangcong Yin, Xi Ye, Greg Durrett

WISE: Rethinking the Knowledge Memory for Lifelong Model Editing of Large Language Models

#3403 · Peng Wang, Zexi Li, Ningyu Zhang, Ziwen Xu, Yunzhi Yao, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen

D-CPT Law: Domain-specific Continual Pre-Training Scaling Law for Large Language Models

#3404 · Haoran Que, Jiaheng Liu, Ge Zhang, Chenchen Zhang, Xingwei Qu, Yinghao Ma, Feiyu Duan, ZhiqiBai zhiqi, JiakaiWang, Yuanxing Zhang, Xu Tan, Jie Fu, Jiamang Wang, Lin Qu, Wenbo Su, Bo Zheng

AmoebaLLM: Constructing Any-Shape Large Language Models for Efficient and Instant Deployment

#3405 · Yonggan Fu, Zhongzhi Yu, Junwei Li, Jiayi Qian, Yongan Zhang, Xiangchi Yuan, Dachuan Shi, Roman Yakunin, Yingyan (Celine) Lin

FASTopic: Pretrained Transformer is a Fast, Adaptive, Stable, and Transferable Topic Model

#3406 · Xiaobao Wu, Thong Nguyen, Delvin Zhang, William Yang Wang, Anh Tuan Luu

Block Transformer: Global-to-Local Language Modeling for Fast Inference

#3407 · Namgyu Ho, Sangmin Bae, Taehyeon Kim, Hyunjik Jo, Yireun Kim, Tal Schuster, Adam Fisch, James Thorne, Se-Young Yun

OlympicArena: Benchmarking Multi-discipline Cognitive Reasoning for Superintelligent AI

#3408 · Zhen Huang, Zengzhi Wang, Shijie Xia, Xuefeng Li, Haoyang Zou, Ruijie Xu, Run-Ze Fan, Lyumanshan Ye, Ethan Chern, Yixin Ye, Yikai Zhang, Yuqing Yang, Ting Wu, Binjie Wang, Shichao Sun, Yang Xiao, Yiyuan Li, Fan Zhou, Steffi Chern, Yiwei Qin, Yan Ma, Jiadi Su, Yixiu Liu, Yuxiang Zheng, Shaoting Zhang, Dahua Lin, Yu Qiao, Pengfei Liu

Symmetry Discovery Beyond Affine Transformations

#3409 · Ben Shaw, Abram Magner, Kevin Moon

Algorithmic Capabilities of Random Transformers

#3410 · Ziqian Zhong, Jacob Andreas

Interpretable Concept Bottlenecks to Align Reinforcement Learning Agents

#3411 · Quentin Delfosse, Sebastian Sztwiertnia, Mark Rothermel, Wolfgang Stammer, Kristian Kersting

Enhancing LLM’s Cognition via Structurization

#3500 · Kai Liu, Zhihang Fu, Chao Chen, Wei Zhang, Rongxin Jiang, Fan Zhou, Yaowu Chen, Yue Wu, Jieping Ye

FLAME : Factuality-Aware Alignment for Large Language Models

#3501 · Sheng-Chieh Lin, Luyu Gao, Barlas Oguz, Wenhan Xiong, Jimmy Lin, Scott Yih, Xilun Chen

Enhancing Large Language Models through Adaptive Tokenizers

#3502 · Mengyu Zheng, Hanting Chen, Tianyu Guo, Chong Zhu, Binfan Zheng, Chang Xu, Yunhe Wang

Decoding-Time Language Model Alignment with Multiple Objectives

#3503 · Ruizhe Shi, Yifang Chen, Yushi Hu, Alisa Liu, Hanna Hajishirzi, Noah Smith, Simon Du

Mixture of Scales: Memory-Efficient Token-Adaptive Binarization for Large Language Models

#3504 · Dongwon Jo, Taesu Kim, Yulhwa Kim, jae-joon kim

How Do Large Language Models Acquire Factual Knowledge During Pretraining?

#3505 · Hoyeon Chang, Jinho Park, Seonghyeon Ye, Sohee Yang, Youngkyung Seo, Du-Seong Chang, Minjoon Seo

Fine-Tuning Large Vision-Language Models as Decision-Making Agents via Reinforcement Learning

#3506 · Simon Zhai, Hao Bai, Zipeng Lin, Jiayi Pan, Peter Tong, Yifei Zhou, Alane Suhr, Saining Xie, Yann LeCun, Yi Ma, Sergey Levine

DiffNorm: Self-Supervised Normalization for Non-autoregressive Speech-to-speech Translation

#3507 · Weiting Tan, Jingyu Zhang, Lingfeng Shen, Daniel Khashabi, Philipp Koehn

REBORN: Reinforcement-Learned Boundary Segmentation with Iterative Training for Unsupervised ASR

#3508 · Liang-Hsuan Tseng, En-Pei Hu, Cheng-Han Chiang, Yuan Tseng, Hung-yi Lee, Lin-shan Lee, Shao-Hua Sun

Self-Taught Recognizer: Toward Unsupervised Adaptation for Speech Foundation Models

#3509 · Yuchen Hu, CHEN CHEN, Chao-Han Yang, Chengwei Qin, Pin-Yu Chen, Eng-Siong Chng, Chao Zhang

FineCLIP: Self-distilled Region-based CLIP for Better Fine-grained Understanding

#3510 · Dong Jing, Xiaolong He, Yutian Luo, Nanyi Fei, guoxing Yang, Wei Wei, Huiwen Zhao, Zhiwu Lu

Gradients of Functions of Large Matrices

#3511 · Nicholas Krämer, Pablo Moreno-Muñoz, Hrittik Roy, Søren Hauberg

EMR-Merging: Tuning-Free High-Performance Model Merging

#3600 · Chenyu Huang, Peng Ye, Tao Chen, Tong He, Xiangyu Yue, Wanli Ouyang

DA-Ada: Learning Domain-Aware Adapter for Domain Adaptive Object Detection

#3601 · Haochen Li, Rui Zhang, Hantao Yao, Xin Zhang, Yifan Hao, Xinkai Song, Xiaqing Li, Yongwei Zhao, Yunji Chen, Ling Li

Mind the Gap Between Prototypes and Images in Cross-domain Finetuning

#3602 · Hongduan Tian, Feng Liu, Zhanke Zhou, Tongliang Liu, Chengqi Zhang, Bo Han

On the Stability and Generalization of Meta-Learning

#3603 · Yunjuan Wang, Raman Arora

Boosting the Transferability of Adversarial Attack on Vision Transformer with Adaptive Token Tuning

#3604 · Di Ming, Peng Ren, Yunlong Wang, Xin Feng

DOFEN: Deep Oblivious Forest ENsemble

#3605 · KuanYu Chen, Ping-Han Chiang, Hsin-Rung Chou, Chih-Sheng Chen, Tien-Hao Chang

Soft Tensor Product Representations for Fully Continuous, Compositional Visual Representations

#3606 · Bethia Sun, Maurice Pagnucco, Yang Song

Predictor-Corrector Enhanced Transformers with Exponential Moving Average Coefficient Learning

#3607 · Bei Li, Tong Zheng, Rui Wang, Jiahao Liu, 清妍郭, Junliang Guo, Xu Tan, Tong Xiao, JingBo Zhu, Jingang Wang, Xunliang Cai

Inverse M-Kernels for Linear Universal Approximators of Non-Negative Functions

#3608 · Hideaki Kim

The Minimax Rate of HSIC Estimation for Translation-Invariant Kernels

#3609 · Florian Kalinke, Zoltan Szabo

Learning to Embed Distributions via Maximum Kernel Entropy

#3610 · Oleksii Kachaiev, Stefano Recanatesi

The Selective $G$-Bispectrum and its Inversion: Applications to $G$-Invariant Networks

#3611 · Simon Mataigne, Johan Mathe, Sophia Sanborn, Christopher Hillar, Nina Miolane

RankUp: Boosting Semi-Supervised Regression with an Auxiliary Ranking Classifier

#3700 · Pin-Yen Huang, Szu-Wei Fu, Yu Tsao

CONTRAST: Continual Multi-source Adaptation to Dynamic Distributions

#3701 · Sk Miraj Ahmed, Fahim Faisal Niloy, Xiangyu Chang, Dripta S. Raychaudhuri, Samet Oymak, Amit Roy-Chowdhury

KFNN: K-Free Nearest Neighbor For Crowdsourcing

#3702 · Wenjun Zhang, Liangxiao Jiang, Chaoqun Li

A Practitioner's Guide to Real-World Continual Multimodal Pretraining

#3703 · Karsten Roth, Vishaal Udandarao, Sebastian Dziadzio, Ameya Prabhu, Mehdi Cherti, Oriol Vinyals, Olivier Henaff, Samuel Albanie, Matthias Bethge, Zeynep Akata

II-Bench: An Image Implication Understanding Benchmark for Multimodal Large Language Models

#3704 · Ziqiang Liu, Feiteng Fang, Xi Feng, Xeron Du, Chenhao Zhang, Noah Wang, yuelin bai, Qixuan Zhao, Liyang Fan, CHENGGUANG GAN, Hongquan Lin, Jiaming Li, Yuansheng Ni, Haihong Wu, Yaswanth Narsupalli, Zhigang Zheng, Chengming Li, Xiping Hu, Ruifeng Xu, Xiaojun Chen, Min Yang, Jiaheng Liu, Ruibo Liu, Wenhao Huang, Ge Zhang, Shiwen Ni

Eye-gaze Guided Multi-modal Alignment for Medical Representation Learning

#3705 · Chong Ma, Hanqi Jiang, Wenting Chen, Yiwei Li, Zihao Wu, Xiaowei Yu, Zhengliang Liu, Lei Guo, Dajiang Zhu, Tuo Zhang, Dinggang Shen, Tianming Liu, Xiang Li

SeTAR: Out-of-Distribution Detection with Selective Low-Rank Approximation

#3706 · Yixia Li, Boya Xiong, Guanhua Chen, Yun Chen

Contrasting with Symile: Simple Model-Agnostic Representation Learning for Unlimited Modalities

#3707 · Adriel Saporta, Aahlad Manas Puli, Mark Goldstein, Rajesh Ranganath

Implicit Multimodal Alignment: On the Generalization of Frozen LLMs to Multimodal Inputs

#3708 · Mustafa Shukor, Matthieu Cord

FlexCap: Describe Anything in Images in Controllable Detail

#3709 · Debidatta Dwibedi, Vidhi Jain, Jonathan Tompson, Andrew Zisserman, Yusuf Aytar

Facilitating Multimodal Classification via Dynamically Learning Modality Gap

#3710 · Yang Yang, Fengqiang Wan, Qing-Yuan Jiang, Yi Xu

What Factors Affect Multi-Modal In-Context Learning? An In-Depth Exploration

#3711 · Libo Qin, Qiguang Chen, Hao Fei, Zhi Chen, Min Li, Wanxiang Che

Can Transformers Smell Like Humans?

#3800 · Farzaneh Taleb, Miguel Vasco, Antonio Ribeiro, Mårten Björkman, Danica Kragic

Procedure-Aware Surgical Video-language Pretraining with Hierarchical Knowledge Augmentation

#3801 · Kun Yuan, vinkle srivastav, Nassir Navab, Nicolas Padoy

Classifier-guided Gradient Modulation for Enhanced Multimodal Learning

#3802 · Zirun Guo, Tao Jin, Jingyuan Chen, Zhou Zhao

Diff-eRank: A Novel Rank-Based Metric for Evaluating Large Language Models

#3803 · Lai Wei, Zhiquan Tan, Chenghai Li, Jindong Wang, Weiran Huang

Membership Inference Attacks against Large Vision-Language Models

#3804 · Zhan Li, Yongtao Wu, Yihang Chen, Francesco Tonin, Elias Abad Rocamora, Volkan Cevher

InternLM-XComposer2-4KHD: A Pioneering Large Vision-Language Model Handling Resolutions from 336 Pixels to 4K HD

#3805 · Xiaoyi Dong, Pan Zhang, Yuhang Zang, Yuhang Cao, Bin Wang, Linke Ouyang, Songyang Zhang, Haodong Duan, Wenwei Zhang, Yining Li, Hang Yan, Yang Gao, Zhe Chen, xinyue zhang, Wei Li, Li Jingwen, Wenhai Wang, Kai Chen, Conghui He, Xingcheng ZHANG, Jifeng Dai, Yu Qiao, Dahua Lin, Jiaqi Wang

Towards Robust Multimodal Sentiment Analysis with Incomplete Data

#3806 · Haoyu Zhang, Wenbin Wang, Tianshu Yu

Vitron: A Unified Pixel-level Vision LLM for Understanding, Generating, Segmenting, Editing

#3807 · Hao Fei, Shengqiong Wu, Hanwang Zhang, Tat-Seng Chua, Shuicheng Yan

Dual Prototype Evolving for Test-Time Generalization of Vision-Language Models

#3808 · Ce Zhang, Simon Stepputtis, Katia Sycara, Yaqi Xie

CigTime: Corrective Instruction Generation Through Inverse Motion Editing

#3809 · Qihang Fang, Chengcheng Tang, Bugra Tekin, Yanchao Yang

CODE: Contrasting Self-generated Description to Combat Hallucination in Large Multi-modal Models

#3810 · Junho Kim, Hyunjun Kim, Kim Yeonju, Yong Man Ro

DDR: Exploiting Deep Degradation Response as Flexible Image Descriptor

#3811 · Juncheng Wu, Zhangkai Ni, Hanli Wang, Wenhan Yang, Yuyin Zhou, Shiqi Wang

Provably Optimal Memory Capacity for Modern Hopfield Models: Transformer-Compatible Dense Associative Memories as Spherical Codes

#3900 · Jerry Yao-Chieh Hu, Dennis Wu, Han Liu

Learning Place Cell Representations and Context-Dependent Remapping

#3901 · Markus Pettersen, Frederik Rogge, Mikkel Lepperød

A Unifying Normative Framework of Decision Confidence

#3902 · Amelia Johnson, Michael Buice, Koosha Khalvati

Divergences between Language Models and Human Brains

#3903 · Yuchen Zhou, Emmy Liu, Graham Neubig, Michael Tarr, Leila Wehbe

Doing Experiments and Revising Rules with Natural Language and Probabilistic Reasoning

#3904 · Top Piriyakulkij, Cassidy Langenfeld, Tuan Anh Le, Kevin Ellis

Structured flexibility in recurrent neural networks via neuromodulation

#3905 · Julia Costacurta, Shaunak Bhandarkar, David Zoltowski, Scott Linderman

Binding in hippocampal-entorhinal circuits enables compositionality in cognitive maps

#3906 · Christopher Kymn, Sonia Mazelet, Anthony Thomas, Denis Kleyko, Edward Frady, Fritz Sommer, Bruno Olshausen

Understanding the Limits of Vision Language Models Through the Lens of the Binding Problem

#3907 · Declan Campbell, Sunayana Rane, Tyler Giallanza, Camillo Nicolò De Sabbata, Kia Ghods, Amogh Joshi, Alexander Ku, Steven Frankland, Tom Griffiths, Jonathan D Cohen, Taylor Webb

The motion planning neural circuit in goal-directed navigation as Lie group operator search

#3908 · Junfeng Zuo, Ying Nian Wu, Si Wu, Wenhao Zhang

EnOF-SNN: Training Accurate Spiking Neural Networks via Enhancing the Output Feature

#3909 · Yufei Guo, Weihang Peng, Xiaode Liu, Yuanpei Chen, Yuhan Zhang, Xin Tong, Zhou Jie, Zhe Ma

Probabilistic Decomposed Linear Dynamical Systems for Robust Discovery of Latent Neural Dynamics

#3910 · Yenho Chen, Noga Mudrik, Kyle A. Johnsen, Sankaraleengam Alagapan, Adam Charles, Christopher Rozell

Biologically-Inspired Learning Model for Instructed Vision

#3911 · Roy Abel, Shimon Ullman

Understanding the Expressivity and Trainability of Fourier Neural Operator: A Mean-Field Perspective

#4000 · Takeshi Koshizuka, Masahiro Fujisawa, Yusuke Tanaka, Issei Sato

The Challenges of the Nonlinear Regime for Physics-Informed Neural Networks

#4001 · Andrea Bonfanti, Giuseppe Bruno, Cristina Cipriani

MG-Net: Learn to Customize QAOA with Circuit Depth Awareness

#4002 · Yang Qian, Xinbiao Wang, Yuxuan Du, Yong Luo, Dacheng Tao

SEA: State-Exchange Attention for High-Fidelity Physics Based Transformers

#4003 · Parsa Esmati, Amirhossein Dadashzadeh, Vahid Ardakani, Nicolas Larrosa, Nicolò Grilli

DEL: Discrete Element Learner for Learning 3D Particle Dynamics with Neural Rendering

#4004 · JIAXU WANG, Jingkai SUN, ziyi Zhang, Junhao He, Qiang Zhang, Mingyuan Sun, Renjing Xu

Identifying Spatio-Temporal Drivers of Extreme Events

#4005 · Mohamad Hakam Shams Eddin, Jürgen Gall

Integrating GNN and Neural ODEs for Estimating Non-Reciprocal Two-Body Interactions in Mixed-Species Collective Motion

#4006 · Masahito Uwamichi, Simon Schnyder, Tetsuya J. Kobayashi, Satoshi Sawai

Towards Universal Mesh Movement Networks

#4007 · Mingrui Zhang, Chunyang Wang, Stephan C. Kramer, Joseph G Wallwork, Siyi Li, Jiancheng Liu, Xiang Chen, Matthew Piggott

Physics-Constrained Comprehensive Optical Neural Networks

#4008 · Yanbing Liu, JIANWEI QIN, Yan Liu, Xi Yue, Xun Liu, Guoqing Wang, Tianyu Li, Ye, Wei Li

Controlled maximal variability along with reliable performance in recurrent neural networks

#4009 · Chiara Mastrogiuseppe, Ruben Moreno Bote

Advancing Training Efficiency of Deep Spiking Neural Networks through Rate-based Backpropagation

#4010 · Chengting Yu, Lei Liu, Gaoang Wang, Erping Li, Aili Wang

Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators

#4011 · Changze Lv, Dongqi Han, Yansen Wang, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li

DiffusionPDE: Generative PDE-Solving under Partial Observation

#4100 · Jiahe Huang, Guandao Yang, Zichen Wang, Jeong Joon Park

Fearless Stochasticity in Expectation Propagation

#4101 · Jonathan So, Richard Turner

Estimating Epistemic and Aleatoric Uncertainty with a Single Model

#4102 · Matthew Chan, Maria Molina, Chris Metzler

Random Cycle Coding: Lossless Compression of Cluster Assignments via Bits-Back Coding

#4103 · Daniel Severo, Ashish Khisti, Alireza Makhzani

Small coresets via negative dependence: DPPs, linear statistics, and concentration

#4104 · Rémi Bardenet, Subhroshekhar Ghosh, Hugo Simon-Onfroy, Hoang Son Tran

Modeling Latent Neural Dynamics with Gaussian Process Switching Linear Dynamical Systems

#4105 · Amber Hu, David Zoltowski, Aditya Nair, David Anderson, Lea Duncker, Scott Linderman

Block Sparse Bayesian Learning: A Diversified Scheme

#4106 · Yanhao Zhang, Zhihan Zhu, Yong Xia

Generating Origin-Destination Matrices in Neural Spatial Interaction Models

#4107 · Ioannis Zachos, Mark Girolami, Theodoros Damoulas

Active Sequential Posterior Estimation for Sample-Efficient Simulation-Based Inference

#4108 · Sam Griesemer, Defu Cao, Zijun Cui, Carolina Osorio, Yan Liu

Cost-aware Bayesian Optimization via the Pandora's Box Gittins Index

#4109 · Qian Xie, Raul Astudillo, Peter Frazier, Ziv Scully, Alexander Terenin

Principled Probabilistic Imaging using Diffusion Models as Plug-and-Play Priors

#4110 · Zihui Wu, Yu Sun, Yifan Chen, Bingliang Zhang, Yisong Yue, Katherine Bouman

Closed-Loop Visuomotor Control with Generative Expectation for Robotic Manipulation

#4111 · Qingwen Bu, Jia Zeng, Li Chen, Yanchao Yang, Guyue Zhou, Junchi Yan, Ping Luo, Heming Cui, Yi Ma, Hongyang Li

DeformableTST: Transformer for Time Series Forecasting without Over-reliance on Patching

#4200 · Donghao Luo, Xue Wang

Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series

#4201 · Vijay Ekambaram, Arindam Jati, Pankaj Dayama, Sumanta Mukherjee, Nam Nguyen, Wesley M Gifford, Chandra Reddy, Jayant Kalagnanam

Unlocking the Potential of Global Human Expertise

#4202 · Elliot Meyerson, Olivier Francon, Darren Sargent, Babak Hodjat, Risto Miikkulainen

Probing Social Bias in Labor Market Text Generation by ChatGPT: A Masked Language Model Approach

#4203 · Lei Ding, Yang Hu, Nicole Denier, Enze Shi, Junxi Zhang, Qirui Hu, Karen Hughes, Linglong Kong, Bei Jiang

Can Large Language Model Agents Simulate Human Trust Behavior?

#4204 · Chengxing Xie, Canyu Chen, Feiran Jia, Ziyu Ye, Shiyang Lai, Kai Shu, Jindong Gu, Adel Bibi, Ziniu Hu, David Jurgens, James Evans, Philip Torr, Bernard Ghanem, Guohao Li

DG-SLAM: Robust Dynamic Gaussian Splatting SLAM with Hybrid Pose Optimization

#4205 · Yueming Xu, Haochen Jiang, Zhongyang Xiao, Jianfeng Feng, Li Zhang

Learning Neural Contracting Dynamics: Extended Linearization and Global Guarantees

#4206 · Sean Jaffe, Alexander Davydov, Deniz Lapsekili, Ambuj K Singh, Francesco Bullo

DeeR-VLA: Dynamic Inference of Multimodal Large Language Models for Efficient Robot Execution

#4207 · Yang Yue, Yulin Wang, Bingyi Kang, Yizeng Han, Shenzhi Wang, Shiji Song, Jiashi Feng, Gao Huang

QueST: Self-Supervised Skill Abstractions for Learning Continuous Control

#4208 · Atharva Mete, Haotian Xue, Albert Wilcox, Yongxin Chen, Animesh Garg

BehaviorGPT: Smart Agent Simulation for Autonomous Driving with Next-Patch Prediction

#4209 · Zikang Zhou, HU Haibo, Xinhong Chen, Jianping Wang, Nan Guan, Kui Wu, Yung-Hui Li, Yu-Kai Huang, Chun Jason Xue

BricksRL: A Platform for Democratizing Robotics and Reinforcement Learning Research and Education with LEGO

#4210 · Sebastian Dittert, Vincent Moens, Gianni De Fabritiis

OpenGaussian: Towards Point-Level 3D Gaussian-based Open Vocabulary Understanding

#4211 · Yanmin Wu, Jiarui Meng, Haijie LI, Chenming Wu, Yahao Shi, Xinhua Cheng, Chen Zhao, Haocheng Feng, Errui Ding, Jingdong Wang, Jian Zhang

Rethinking Fourier Transform from A Basis Functions Perspective for Long-term Time Series Forecasting

#4300 · Runze Yang, Longbing Cao, JIE YANG, li jianxun

Computerized Adaptive Testing via Collaborative Ranking

#4301 · Zirui Liu, Yan Zhuang, Qi Liu, Jiatong Li, Yuren Zhang, Zhenya Huang, Jinze Wu, Shijin Wang

AutoTimes: Autoregressive Time Series Forecasters via Large Language Models

#4302 · Yong Liu, Guo Qin, Xiangdong Huang, Jianmin Wang, Mingsheng Long

Frequency Adaptive Normalization For Non-stationary Time Series Forecasting

#4303 · Weiwei Ye, Songgaojun Deng, Qiaosha Zou, Ning Gui

Exploiting Representation Curvature for Boundary Detection in Time Series

#4304 · Yooju Shin, Jaehyun Park, Susik Yoon, Hwanjun Song, Byung Suk Lee, Jae-Gil Lee

SARAD: Spatial Association-Aware Anomaly Detection and Diagnosis for Multivariate Time Series

#4305 · Zhihao Dai, Ligang He, Shuanghua Yang, Matthew Leeke

PGN: The RNN's New Successor is Effective for Long-Range Time Series Forecasting

#4306 · Yuxin Jia, Youfang Lin, Jing Yu, Shuo Wang, Tianhao Liu, Huaiyu Wan

Segment, Shuffle, and Stitch: A Simple Layer for Improving Time-Series Representations

#4307 · Shivam Grover, Amin Jalali, Ali Etemad

Evaluating Copyright Takedown Methods for Language Models

#4308 · Boyi Wei, Weijia Shi, Yangsibo Huang, Noah Smith, Chiyuan Zhang, Luke Zettlemoyer, Kai Li, Peter Henderson

UnlearnCanvas: Stylized Image Dataset for Enhanced Machine Unlearning Evaluation in Diffusion Models

#4309 · Yihua Zhang, Chongyu Fan, Yimeng Zhang, Yuguang Yao, Jinghan Jia, Jiancheng Liu, Gaoyuan Zhang, Gaowen Liu, Ramana Kompella, Xiaoming Liu, Sijia Liu

Vision Transformer Neural Architecture Search for Out-of-Distribution Generalization: Benchmark and Insights

#4310 · Sy-Tuyen Ho, Tuan Van Vo, Somayeh Ebrahimkhani, Ngai-Man (Man) Cheung

Automating Data Annotation under Strategic Human Agents: Risks and Potential Solutions

#4311 · Tian Xie, Xueru Zhang

Uncovering Safety Risks of Large Language Models through Concept Activation Vector

#4400 · Zhihao Xu, Ruixuan HUANG, Changyu Chen, Xiting Wang

A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image Analysis

#4401 · Yue Yang, Mona Gandhi, Yufei Wang, Yifan Wu, Michael Yao, Chris Callison-Burch, James Gee, Mark Yatskar

Typicalness-Aware Learning for Failure Detection

#4402 · Yijun Liu, Jiequan Cui, Zhuotao Tian, Senqiao Yang, Qingdong He, Xiaoling Wang, Jingyong Su

On scalable oversight with weak LLMs judging strong LLMs

#4403 · Zachary Kenton, Noah Siegel, Janos Kramar, Jonah Brown-Cohen, Samuel Albanie, Jannis Bulian, Rishabh Agarwal, David Lindner, Yunhao Tang, Noah Goodman, Rohin Shah

Semantic Density: Uncertainty Quantification for Large Language Models through Confidence Measurement in Semantic Space

#4404 · Xin Qiu, Risto Miikkulainen

Rejection via Learning Density Ratios

#4405 · Alexander Soen, Hisham Husain, Philip Schulz, Vu Nguyen

What Makes Partial-Label Learning Algorithms Effective?

#4406 · Jiaqi Lv, Yangfan Liu, Shiyu Xia, Ning Xu, Miao Xu, Gang Niu, Min-Ling Zhang, Masashi Sugiyama, Xin Geng

Exploiting LLM Quantization

#4407 · Kazuki Egashira, Mark Vero, Robin Staab, Jingxuan He, Martin Vechev

WaterMax: breaking the LLM watermark detectability-robustness-quality trade-off

#4408 · Eva Giboulot, Teddy Furon

Heterogeneity-Guided Client Sampling: Towards Fast and Efficient Non-IID Federated Learning

#4409 · Huancheng Chen, Haris Vikalo

Kernel PCA for Out-of-Distribution Detection

#4410 · Kun Fang, Qinghua Tao, Kexin Lv, Mingzhen He, Xiaolin Huang, JIE YANG

AHA: Human-Assisted Out-of-Distribution Generalization and Detection

#4411 · Haoyue Bai, Jifan Zhang, Robert Nowak

Mitigating Backdoor Attack by Injecting Proactive Defensive Backdoor

#4500 · Shaokui Wei, Hongyuan Zha, Baoyuan Wu

Test-Time Adaptation Induces Stronger Accuracy and Agreement-on-the-Line

#4501 · Eungyeup Kim, Mingjie Sun, Christina Baek, Aditi Raghunathan, J. Zico Kolter

Selective Generation for Controllable Language Models

#4502 · Minjae Lee, Kyungmin Kim, Taesoo Kim, Sangdon Park

Certified Adversarial Robustness via Randomized $\alpha$-Smoothing for Regression Models

#4503 · Aref Miri Rekavandi, Farhad Farokhi, Olga Ohrimenko, Benjamin Rubinstein

LT-Defense: Searching-free Backdoor Defense via Exploiting the Long-tailed Effect

#4504 · Yixiao Xu, Binxing Fang, Mohan Li, Keke Tang, Zhihong Tian

RFLPA: A Robust Federated Learning Framework against Poisoning Attacks with Secure Aggregation

#4505 · Peihua Mai, Ran Yan, Yan Pang

Understanding and Improving Adversarial Collaborative Filtering for Robust Recommendation

#4506 · Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng

Few-Shot Adversarial Prompt Learning on Vision-Language Models

#4507 · Yiwei Zhou, Xiaobo Xia, Zhiwei Lin, Bo Han, Tongliang Liu

Learning the Latent Causal Structure for Modeling Label Noise

#4508 · Yexiong Lin, Yu Yao, Tongliang Liu

SEEV: Synthesis with Efficient Exact Verification for ReLU Neural Barrier Functions

#4509 · Hongchao Zhang, Zhizhen Qin, Sicun Gao, Andrew Clark

Gradient Cuff: Detecting Jailbreak Attacks on Large Language Models by Exploring Refusal Loss Landscapes

#4510 · Xiaomeng Hu, Pin-Yu Chen, Tsung-Yi Ho

Revive Re-weighting in Imbalanced Learning by Density Ratio Estimation

#4511 · JIAAN LUO, Feng Hong, Jiangchao Yao, Bo Han, Ya Zhang, Yanfeng Wang

Inevitable Trade-off between Watermark Strength and Speculative Sampling Efficiency for Language Models

#4600 · Zhengmian Hu, Heng Huang

On the Optimality of Dilated Entropy and Lower Bounds for Online Learning in Extensive-Form Games

#4601 · Zhiyuan Fan, Christian Kroer, Gabriele Farina

Rethinking Weight Decay for Robust Fine-Tuning of Foundation Models

#4602 · Junjiao Tian, Chengyue Huang, Zsolt Kira

The Edge-of-Reach Problem in Offline Model-Based Reinforcement Learning

#4603 · Anya Sims, Cong Lu, Jakob Foerster, Yee Whye Teh

Expressive Gaussian Human Avatars from Monocular RGB Video

#4604 · Hezhen Hu, Zhiwen Fan, Tianhao Wu, Yihan Xi, Seoyoung Lee, Georgios Pavlakos, Zhangyang "Atlas" Wang

Fast Best-of-N Decoding via Speculative Rejection

#4605 · Hanshi Sun, Momin Haider, Ruiqi Zhang, Huitao Yang, Jiahao Qiu, Ming Yin, Mengdi Wang, Peter Bartlett, Andrea Zanette

Visual Anchors Are Strong Information Aggregators For Multimodal Large Language Model

#4606 · Haogeng Liu, Quanzeng You, Xiaotian Han, Yongfei Liu, Huaibo Huang, Ran He, Hongxia Yang

DiffuserLite: Towards Real-time Diffusion Planning

#4607 · Zibin Dong, Jianye Hao, Yifu Yuan, Fei Ni, Yitian Wang, Pengyi Li, YAN ZHENG

Learning-Augmented Algorithms with Explicit Predictors

#4608 · Marek Elias, Haim Kaplan, Yishay Mansour, Shay Moran

FlexMol: A Flexible Toolkit for Benchmarking Molecular Relational Learning

#4609 · Sizhe Liu, Jun Xia, Lecheng Zhang, Yuchen Liu, Yue Liu, Wenjie Du, Zhangyang Gao, Bozhen Hu, Cheng Tan, hongxin xiang, Stan Z. Li

Task Me Anything

#4610 · Jieyu Zhang, Weikai Huang, Zixian Ma, Oscar Michel, Dong He, Tanmay Gupta, Wei-Chiu Ma, Ali Farhadi, Aniruddha Kembhavi, Ranjay Krishna

LongVideoBench: A Benchmark for Long-context Interleaved Video-Language Understanding

#4611 · Haoning Wu, DONGXU LI, Bei Chen, Junnan Li

Amortized Active Causal Induction with Deep Reinforcement Learning

#4700 · Yashas Annadani, Panagiotis Tigas, Stefan Bauer, Adam Foster

A Boosting-Type Convergence Result for AdaBoost.MH with Factorized Multi-Class Classifiers

#4701 · Xin Zou, Zhengyu Zhou, Jingyuan Xu, Weiwei Liu

End-to-end Learnable Clustering for Intent Learning in Recommendation

#4702 · Yue Liu, Shihao Zhu, Jun Xia, YINGWEI MA, Jian Ma, Xinwang Liu, Shengju Yu, Kejun Zhang, Wenliang Zhong

Fully Unconstrained Online Learning

#4703 · Ashok Cutkosky, Zak Mhammedi

Transformers to SSMs: Distilling Quadratic Knowledge to Subquadratic Models

#4704 · Aviv Bick, Kevin Li, Eric Xing, J. Zico Kolter, Albert Gu

DiffusionFake: Enhancing Generalization in Deepfake Detection via Guided Stable Diffusion

#4705 · ke sun, Shen Chen, Taiping Yao, Hong Liu, Xiaoshuai Sun, Shouhong Ding, Rongrong Ji

ARC: A Generalist Graph Anomaly Detector with In-Context Learning

#4706 · Yixin Liu, Shiyuan Li, Yu Zheng, Qingfeng Chen, Chengqi Zhang, Shirui Pan

A Local Method for Satisfying Interventional Fairness with Partially Known Causal Graphs

#4707 · Haoxuan Li, Yue Liu, Zhi Geng, Kun Zhang

ST$_k$: A Scalable Module for Solving Top-k Problems

#4708 · Hanchen Xia, Weidong Liu, Xiaojun Mao

Learning an Actionable Discrete Diffusion Policy via Large-Scale Actionless Video Pre-Training

#4709 · Haoran He, Chenjia Bai, Ling Pan, Weinan Zhang, Bin Zhao, Xuelong Li

Aligning Audio-Visual Joint Representations with an Agentic Workflow

#4710 · Shentong Mo, Yibing Song

Achieving Tractable Minimax Optimal Regret in Average Reward MDPs

#4711 · Victor Boone, Zihan Zhang

Truthful High Dimensional Sparse Linear Regression

#4800 · Liyang Zhu, Amina Manseur, Meng Ding, Jinyan Liu, Jinhui Xu, Di Wang

Normalization and effective learning rates in reinforcement learning

#4801 · Clare Lyle, Zeyu Zheng, Khimya Khetarpal, James Martens, Hado van Hasselt, Razvan Pascanu, Will Dabney

#4802 ·

FreeLong: Training-Free Long Video Generation with SpectralBlend Temporal Attention

#4803 · Yu Lu, Yuanzhi Liang, Linchao Zhu, Yi Yang

Breaking Long-Tailed Learning Bottlenecks: A Controllable Paradigm with Hypernetwork-Generated Diverse Experts

#4804 · Zhe Zhao, HaiBin Wen, Zikang Wang, Pengkun Wang, Fanfu Wang, Song Lai, Qingfu Zhang, Yang Wang

Personalized Federated Learning via Feature Distribution Adaptation

#4805 · Connor Mclaughlin, Lili Su

Federated Learning under Periodic Client Participation and Heterogeneous Data: A New Communication-Efficient Algorithm and Analysis

#4806 · Michael Crawshaw, Mingrui Liu

LoRA-GA: Low-Rank Adaptation with Gradient Approximation

#4807 · Shaowen Wang, Linxi Yu, Jian Li

Reproducibility of predictive networks for mouse visual cortex

#4808 · Polina Turishcheva, Max Burg, Fabian Sinz, Alexander Ecker

Improving Environment Novelty Quantification for Effective Unsupervised Environment Design

#4809 · Jayden Teoh, Wenjun Li, Pradeep Varakantham

Unveiling The Matthew Effect Across Channels: Assessing Layer Width Sufficiency via Weight Norm Variance

#4810 · Yiting Chen, Jiazi Bu, Junchi Yan

One-Step Effective Diffusion Network for Real-World Image Super-Resolution

#4811 · Rongyuan Wu, Lingchen Sun, Zhiyuan Ma, Lei Zhang

Segment Anything without Supervision

#4900 · XuDong Wang, Jingfeng Yang, Trevor Darrell

Enhancing Preference-based Linear Bandits via Human Response Time

#4901 · Shen Li, Yuyang Zhang, Zhaolin Ren, Claire Liang, Na Li, Julie A Shah

TabPedia: Towards Comprehensive Visual Table Understanding with Concept Synergy

#4902 · Weichao Zhao, Hao Feng, Qi Liu, Jingqun Tang, Binghong Wu, Lei Liao, Shu Wei, Yongjie Ye, Hao Liu, Wengang Zhou, Houqiang Li, Can Huang

Approximately Equivariant Neural Processes

#4903 · Matthew Ashman, Cristiana Diaconu, Adrian Weller, Wessel Bruinsma, Richard Turner

3DET-Mamba: Causal Sequence Modelling for End-to-End 3D Object Detection

#4905 · Mingsheng Li, Jiakang Yuan, Sijin Chen, Lin Zhang, Anyu Zhu, Xin Chen, Tao Chen

Induced Model Matching: Restricted Models Help Train Full-Featured Models

#4906 · Usama Muneeb, Mesrob I Ohannessian

CooHOI: Learning Cooperative Human-Object Interaction with Manipulated Object Dynamics

#4907 · Jiawei Gao, Ziqin Wang, Zeqi Xiao, Jingbo Wang, Tai WANG, Jinkun Cao, Xiaolin Hu, Si Liu, Jifeng Dai, Jiangmiao Pang

Sequential Harmful Shift Detection Without Labels

#4908 · Salim I. Amoukou, Tom Bewley, Saumitra Mishra, Freddy Lecue, Daniele Magazzeni, Manuela Veloso

Large Language Models Play StarCraft II:Benchmarks and A Chain of Summarization Approach

#4909 · Weiyu Ma, Qirui Mi, Yongcheng Zeng, Xue Yan, Runji Lin, Yuqiao Wu, Jun Wang, Haifeng Zhang

PaCE: Parsimonious Concept Engineering for Large Language Models

#4910 · Jinqi Luo, Tianjiao Ding, Kwan Ho Ryan Chan, Darshan Thaker, Aditya Chattopadhyay, Chris Callison-Burch, Rene Vidal

End-to-End Video Semantic Segmentation in Adverse Weather using Fusion Blocks and Temporal-Spatial Teacher-Student Learning

#4911 · Xin Yang, YAN WENDING, Michael Bi Mi, Yuan Yuan, Robby Tan

A Theoretical Perspective for Speculative Decoding Algorithm

#4920 · Ming Yin, Minshuo Chen, Kaixuan Huang, Mengdi Wang

ElasTST: Towards Robust Varied-Horizon Forecasting with Elastic Time-Series Transformer

#4921 · Jiawen Zhang, Shun Zheng, Xumeng Wen, Xiaofang Zhou, Jiang Bian, Jia Li

Graph Neural Flows for Unveiling Systemic Interactions Among Irregularly Sampled Time Series

#4922 · Giangiacomo Mercatali, Andre Freitas, Jie Chen

The Impact of Initialization on LoRA Finetuning Dynamics

#4923 · Soufiane Hayou, Nikhil Ghosh, Bin Yu

MiniCache: KV Cache Compression in Depth Dimension for Large Language Models

#4924 · Akide Liu, Jing Liu, Zizheng Pan, Yefei He, Reza Haffari, Bohan Zhuang

Self-Play Fine-tuning of Diffusion Models for Text-to-image Generation

#4925 · Huizhuo Yuan, Zixiang Chen, Kaixuan Ji, Quanquan Gu

Structural Inference of Dynamical Systems with Conjoined State Space Models

#4930 · Aoran Wang, Jun Pang

Fairness and Efficiency in Online Class Matching

#4931 · MohammadTaghi Hajiaghayi, Shayan Jahan, Mohammad Sharifi, Suho Shin, Max Springer

Provable Benefits of Complex Parameterizations for Structured State Space Models

#4932 · Yuval Ran-Milo, Eden Lumbroso, Edo Cohen-Karlik, Raja Giryes, Amir Globerson, Nadav Cohen