Paperjam

#1309 · Minghua Liu, Chong Zeng, Xinyue Wei, Ruoxi Shi, Linghao Chen, Chao Xu, Mengqi Zhang, Zhaoning Wang, Xiaoshuai Zhang, Isabella Liu, Hongzhi Wu, Hao Su

RCDN: Towards Robust Camera-Insensitivity Collaborative Perception via Dynamic Feature-based 3D Neural Modeling

#1310 · Tianhang Wang, Fan Lu, Zehan Zheng, Zhijun Li, Guang Chen, changjun jiang

RobIR: Robust Inverse Rendering for High-Illumination Scenes

#1311 · Ziyi Yang, Chenyanzhen, Xinyu Gao, YazhenYuan, Wu Yu, Xiaowei Zhou, Xiaogang Jin

Improved Distribution Matching Distillation for Fast Image Synthesis

#1400 · Tianwei Yin, Michaël Gharbi, Taesung Park, Richard Zhang, Eli Shechtman, Fredo Durand, Bill Freeman

GenArtist: Multimodal LLM as an Agent for Unified Image Generation and Editing

#1401 · Zhenyu Wang, Aoxue Li, Zhenguo Li, Xihui Liu

TextCtrl: Diffusion-based Scene Text Editing with Prior Guidance Control

#1402 · Weichao Zeng, Yan Shu, Zhenhang Li, Dongbao Yang, Yu Zhou

Advancing Fine-Grained Classification by Structure and Subject Preserving Augmentation

#1403 · Eyal Michaeli, Ohad Fried

Multimodal Large Language Models Make Text-to-Image Generative Models Align Better

#1404 · Xun Wu, Shaohan Huang, Guolong Wang, Jing Xiong, Furu Wei

EvolveDirector: Approaching Advanced Text-to-Image Generation with Large Vision-Language Models

#1405 · Rui Zhao, Hangjie Yuan, Yujie Wei, Shiwei Zhang, Yuchao Gu, Lingmin Ran, Xiang Wang, Jay Zhangjie Wu, David Junhao Zhang, Yingya Zhang, Mike Zheng Shou

Recognize Any Regions

#1406 · Haosen Yang, Chuofan Ma, Bin Wen, Yi Jiang, Zehuan Yuan, Xiatian Zhu

HydraViT: Stacking Heads for a Scalable ViT

#1407 · Janek Haberer, Ali Hojjat, Olaf Landsiedel

Sm: enhanced localization in Multiple Instance Learning for medical imaging classification

#1408 · Francisco M. Castro-Macías, Pablo Morales Alvarez, Yunan Wu, Rafael Molina, Aggelos Katsaggelos

Samba: Severity-aware Recurrent Modeling for Cross-domain Medical Image Grading

#1409 · Qi Bi, Jingjun Yi, Hao Zheng, Wei Ji, Haolan Zhan, Yawen Huang, Yuexiang Li, Yefeng Zheng

Linearly Decomposing and Recomposing Vision Transformers for Diverse-Scale Models

#1410 · Shuxia Lin, Miaosen Zhang, Ruiming Chen, Xu Yang, Qiufeng Wang, Xin Geng

Expanding Sparse Tuning for Low Memory Usage

#1411 · Shufan Shen, Junshu Sun, Xiangyang Ji, Qingming Huang, Shuhui Wang

SegVol: Universal and Interactive Volumetric Medical Image Segmentation

#1500 · Yuxin Du, Fan BAI, Tiejun Huang, Bo Zhao

TARSS-Net: Temporal-Aware Radar Semantic Segmentation Network

#1501 · Youcheng Zhang, Liwen Zhang, ZijunHu, Pengcheng Pi, Teng Li, Yuanpei Chen, Shi Peng, Zhe Ma

Unsupervised Hierarchy-Agnostic Segmentation: Parsing Semantic Image Structure

#1502 · Simone Rossetti, Fiora Pirri

Generated and Pseudo Content guided Prototype Refinement for Few-shot Point Cloud Segmentation

#1503 · Lili Wei, Congyan Lang, Ziyi Chen, Tao Wang, Yidong Li, Jun Liu

Generalize or Detect? Towards Robust Semantic Segmentation Under Multiple Distribution Shifts

#1504 · Zhitong Gao, Bingnan Li, Mathieu Salzmann, Xuming He

Understanding Multi-Granularity for Open-Vocabulary Part Segmentation

#1505 · Jiho Choi, Seonho Lee, Seungho Lee, Minhyun Lee, Hyunjung Shim

Bridge the Points: Graph-based Few-shot Segment Anything Semantically

#1506 · Anqi Zhang, Guangyu Gao, Jianbo Jiao, Chi Liu, Yunchao Wei

From Transparent to Opaque: Rethinking Neural Implicit Surfaces with $\alpha$-NeuS

#1507 · Haoran Zhang, Junkai Deng, Xuhui Chen, Fei Hou, Wencheng Wang, Hong Qin, Chen Qian, Ying He

Zero-Shot Scene Reconstruction from Single Images with Deep Prior Assembly

#1508 · Junsheng Zhou, Yu-Shen Liu, Zhizhong Han

Binocular-Guided 3D Gaussian Splatting with View Consistency for Sparse View Synthesis

#1509 · Liang Han, Junsheng Zhou, Yu-Shen Liu, Zhizhong Han

Allegator: Alleviating Attention Bias for Visual-Informed Text Generation

#1510 · MISO CHOI, Jinyoung Kim, Minseo Yoon, Ji Soo Lee, Hyunwoo Kim

LAVIB: A Large-scale Video Interpolation Benchmark

#1511 · Alex Stergiou

Star-Agents: Automatic Data Optimization with LLM Agents for Instruction Tuning

#1600 · Hang Zhou, Yehui Tang, Haochen Qin, Yujie Yang, Renren Jin, Deyi Xiong, Kai Han, Yunhe Wang

PURE: Prompt Evolution with Graph ODE for Out-of-distribution Fluid Dynamics Modeling

#1601 · Hao Wu, Changhu Wang, Fan Xu, Jinbao Xue, Chong Chen, Xian-Sheng Hua, Xiao Luo

The Unmet Promise of Synthetic Training Images: Using Retrieved Real Images Performs Better

#1602 · Scott Geng, Cheng-Yu Hsieh, Vivek Ramanujan, Matthew Wallingford, Chun-Liang Li, Pang Wei Koh, Ranjay Krishna

Depth Anything V2

#1603 · Lihe Yang, Bingyi Kang, Zilong Huang, Zhen Zhao, Xiaogang Xu, Jiashi Feng, Hengshuang Zhao

Moving Off-the-Grid: Scene-Grounded Video Representations

#1604 · Sjoerd van Steenkiste, Daniel Zoran, Yi Yang, Yulia Rubanova, Rishabh Kabra, Carl Doersch, Dilara Gokay, joseph heyward, Etienne Pot, Klaus Greff, Drew Hudson, Thomas Keck, Joao Carreira, Alexey Dosovitskiy, Mehdi S. M. Sajjadi, Thomas Kipf

SlowFocus: Enhancing Fine-grained Temporal Understanding in Video LLM

#1605 · Ming Nie, Dan Ding, Chunwei Wang, Yuanfan Guo, Jianhua Han, Hang Xu, Li Zhang

HENASY: Learning to Assemble Scene-Entities for Interpretable Egocentric Video-Language Model

#1606 · Khoa Vo, Thinh Phan, Kashu Yamazaki, Minh Tran, Ngan Le

Differentiable Task Graph Learning: Procedural Activity Representation and Online Mistake Detection from Egocentric Videos

#1607 · Luigi Seminara, Giovanni Maria Farinella, Antonino Furnari

Vript: A Video Is Worth Thousands of Words

#1608 · Dongjie Yang, Suyuan Huang, Chengqiang Lu, Xiaodong Han, Haoxin Zhang, Yan Gao, Yao Hu, Hai Zhao

FIFO-Diffusion: Generating Infinite Videos from Text without Training

#1609 · Jihwan Kim, Junoh Kang, Jinyoung Choi, Bohyung Han

CAT3D: Create Anything in 3D with Multi-View Diffusion Models

#1610 · Ruiqi Gao, Aleksander Holynski, Philipp Henzler, Arthur Brussee, Ricardo Martin Brualla, Pratul Srinivasan, Jonathan Barron, Ben Poole

ChronoMagic: A Benchmark for Metamorphic Evaluation of Time-lapse Text-to-Video Generation

#1611 · Shenghai Yuan, Jinfa Huang, Yongqi Xu, YaoYang Liu, Shaofeng Zhang, Yujun Shi, Rui-Jie Zhu, Xinhua Cheng, Jiebo Luo, Li Yuan

ImageNet++: A Large-Scale Benchmark of Data Curation Strategies

#1700 · Benjamin Feuer, Jiawei Xu, Niv Cohen, Patrick Yubeaton, Govind Mittal, Chinmay Hegde

Are Large-scale Soft Labels Necessary for Large-scale Dataset Distillation?

#1701 · Lingao Xiao, Yang He

Data Mixture Inference Attack: BPE Tokenizers Reveal Training Data Compositions

#1702 · Jonathan Hayase, Alisa Liu, Yejin Choi, Sewoong Oh, Noah Smith

Fetch and Forge: Efficient Dataset Condensation for Object Detection

#1704 · Ding Qi, Jian Li, Jinlong Peng, Bo Zhao, Shuguang Dou, Jialin Li, Jiangning Zhang, Yabiao Wang, Chengjie Wang, Cairong Zhao

Group and Shuffle: Efficient Structured Orthogonal Parametrization

#1705 · Mikhail Gorbunov, Nikolay Yudin, Vera Soboleva, Aibek Alanov, Alexey Naumov, Maxim Rakhuba

Initializing Variable-sized Vision Transformers from Learngene with Learnable Transformation

#1706 · Shiyu Xia, Yuankun Zu, Xu Yang, Xin Geng

NeuroGauss4D-PCI: 4D Neural Fields and Gaussian Deformation Fields for Point Cloud Interpolation

#1707 · Chaokang Jiang, Dalong Du, Jiuming Liu, Siting Zhu, Zhenqiang Liu, Zhuang Ma, Zhujin Liang, Jie Zhou

Bridging The Gap between Low-rank and Orthogonal Adaptation via Householder Reflection Adaptation

#1708 · Shen Yuan, Haotian Liu, Hongteng Xu

A Single-Step, Sharpness-Aware Minimization is All You Need to Achieve Efficient and Accurate Sparse Training

#1709 · Jie Ji, Gen Li, Jingjing Fu, Fatemeh Afghah, Linke Guo, Xiaoyong Yuan, Xiaolong Ma

DEPrune: Depth-wise Separable Convolution Pruning for Maximizing GPU Parallelism

#1710 · Cheonjun Park, Mincheol Park, Hyunchan Moon, Myung Kuk Yoon, Seokjin Go, Suhyun Kim, Won Woo Ro

Infusing Self-Consistency into Density Functional Theory Hamiltonian Prediction via Deep Equilibrium Models

#1711 · Zun Wang, Chang Liu, Nianlong Zou, He Zhang, Xinran Wei, Lin Huang, Lijun Wu, Bin Shao

On the Role of Attention Masks and LayerNorm in Transformers

#1800 · Xinyi Wu, Amir Ajorlou, Yifei Wang, Stefanie Jegelka, Ali Jadbabaie

Gated Slot Attention for Efficient Linear-Time Sequence Modeling

#1801 · Yu Zhang, Songlin Yang, Rui-Jie Zhu, Yue Zhang, Leyang Cui, Yiqiao Wang, Bolun Wang, Freda Shi, Bailin Wang, Wei Bi, Peng Zhou, Guohong Fu

Bridging the Divide: Reconsidering Softmax and Linear Attention

#1802 · Dongchen Han, Yifan Pu, Zhuofan Xia, Yizeng Han, Xuran Pan, Xiu Li, Jiwen Lu, Shiji Song, Gao Huang

Selective Attention: Enhancing Transformer through Principled Context Control

#1803 · Xuechen Zhang, Xiangyu Chang, Mingchen Li, Amit Roy-Chowdhury, Jiasi Chen, Samet Oymak

An In-depth Investigation of Sparse Rate Reduction in Transformer-like Models

#1804 · Yunzhe Hu, Difan Zou, Dong Xu

xLSTM: Extended Long Short-Term Memory

#1805 · Maximilian Beck, Korbinian Pöppel, Markus Spanring, Andreas Auer, Oleksandra Prudnikova, Michael Kopp, Günter Klambauer, Johannes Brandstetter, Sepp Hochreiter

Transformers need glasses! Information over-squashing in language tasks

#1806 · Federico Barbero, Andrea Banino, Steven Kapturowski, Dharshan Kumaran, João Madeira Araújo, Oleksandr Vitvitskyi, Razvan Pascanu, Petar Veličković

Learning to Reason Iteratively and Parallelly for Complex Visual Reasoning Scenarios

#1807 · Shantanu Jaiswal, Debaditya Roy, Basura Fernando, Cheston Tan

Implicit Regularization of Sharpness-Aware Minimization for Scale-Invariant Problems

#1808 · Bingcong Li, Liang Zhang, Niao He

CoMERA: Computing- and Memory-Efficient Training via Rank-Adaptive Tensor Optimization

#1809 · Zi Yang, Ziyue Liu, Samridhi Choudhary, Xinfeng Xie, Cao Gao, Siegfried Kunzmann, Zheng Zhang

Analyzing & Reducing the Need for Learning Rate Warmup in GPT Training

#1810 · Atli Kosson, Bettina Messmer, Martin Jaggi

MUVERA: Multi-Vector Retrieval via Fixed Dimensional Encoding

#1811 · Rajesh Jayaram, Laxman Dhulipala, Majid Hadian, Jason Lee, Vahab Mirrokni

On the Surprising Effectiveness of Attention Transfer for Vision Transformers

#1900 · Alex Li, Yuandong Tian, Beidi Chen, Deepak Pathak, Xinlei Chen

ProxyFusion: Face Feature Aggregation Through Sparse Experts

#1902 · Bhavin Jawade, Alexander Stone, Deen Dayal Mohan, Xiao Wang, Srirangaraj Setlur, Venu Govindaraju

Addressing Spectral Bias of Deep Neural Networks by Multi-Grade Deep Learning

#1903 · RONGLONG FANG, Yuesheng Xu

Pre-trained Text-to-Image Diffusion Models Are Versatile Representation Learners for Control

#1904 · Gunshi Gupta, Karmesh Yadav, Yarin Gal, Dhruv Batra, Zsolt Kira, Cong Lu, Tim G. J. Rudner

Diffusion Model with Cross Attention as an Inductive Bias for Disentanglement

#1905 · Tao Yang, Cuiling Lan, Yan Lu, Nanning Zheng

Repurposing Language Models into Embedding Models: Finding the Compute-Optimal Recipe

#1906 · Albert Q. Jiang, Alicja Ziarko, Bartosz Piotrowski, Wenda Li, Mateja Jamnik, Piotr Miłoś

RMLR: Extending Multinomial Logistic Regression into General Geometries

#1907 · Ziheng Chen, Yue Song, Rui Wang, Xiaojun Wu, Nicu Sebe

Zipfian Whitening

#1908 · Sho Yokoi, Han Bao, Hiroto Kurita, Hidetoshi Shimodaira

Diversity-Driven Synthesis: Enhancing Dataset Distillation through Directed Weight Adjustment

#1909 · JIAWEI DU, xin zhang, Juncheng Hu, Wenxin Huang, Joey Tianyi Zhou

Speaking Your Language: Spatial Relationships in Interpretable Emergent Communication

#1910 · Olaf Lipinski, Adam Sobey, Federico Cerutti, Timothy Norman

A StrongREJECT for Empty Jailbreaks

#1911 · Alexandra Souly, Qingyuan Lu, Dillon Bowen, Tu Trinh, Elvis Hsieh, Sana Pandey, Pieter Abbeel, Justin Svegliato, Scott Emmons, Olivia Watkins, Sam Toyer

A Phase Transition between Positional and Semantic Learning in a Solvable Model of Dot-Product Attention

#2000 · Hugo Cui, Freya Behrens, Florent Krzakala, Lenka Zdeborová

Mixed Dynamics In Linear Networks: Unifying the Lazy and Active Regimes

#2001 · Zhenfeng Tu, Santiago Tomas Aranguri Diaz, Arthur Jacot

PCP-MAE: Learning to Predict Centers for Point Masked Autoencoders

#2002 · Xiangdong Zhang, Shaofeng Zhang, Junchi Yan

Preventing Dimensional Collapse in Self-Supervised Learning via Orthogonality Regularization

#2003 · Junlin He, Jinxiao Du, Wei Ma

Self-Guided Masked Autoencoder

#2004 · Jeongwoo Shin, Inseo Lee, Junho Lee, Joonseok Lee

Multi-view Masked Contrastive Representation Learning for Endoscopic Video Analysis

#2005 · Kai Hu, Ye Xiao, Yuan Zhang, Xieping Gao

Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise

#2006 · Yeonguk Yu, Minhwan Ko, Sungho Shin, Kangmin Kim, Kyoobin Lee

Full-Distance Evasion of Pedestrian Detectors in the Physical World

#2007 · Zhi Cheng, Zhanhao Hu, Yuqiu Liu, Jianmin Li, Hang Su, Xiaolin Hu

Detecting Brittle Decisions for Free: Leveraging Margin Consistency in Deep Robust Classifiers

#2008 · JONAS NGNAWE, Sabyasachi Sahoo, Yann Pequignot, Frederic Precioso, Christian Gagné

Sample Selection via Contrastive Fragmentation for Noisy Label Regression

#2009 · Chris Dongjoo Kim, Sangwoo Moon, Jihwan Moon, Dongyeon Woo, Gunhee Kim

Soft Prompt Threats: Attacking Safety Alignment and Unlearning in Open-Source LLMs through the Embedding Space

#2010 · Leo Schwinn, David Dobre, Sophie Xhonneux, Gauthier Gidel, Stephan Günnemann

Ask, Attend, Attack: An Effective Decision-Based Black-Box Targeted Attack for Image-to-Text Models

#2011 · Qingyuan Zeng, Zhenzhong Wang, Yiu-ming Cheung, Min

Information-theoretic Limits of Online Classification with Noisy Labels

#2100 · Changlong Wu, Ananth Grama, Wojciech Szpankowski

Approximation Rate of the Transformer Architecture for Sequence Modeling

#2101 · Haotian Jiang, Qianxiao Li

Get rich quick: exact solutions reveal how unbalanced initializations promote rapid feature learning

#2102 · Daniel Kunin, Allan Raventós, Clémentine Dominé, Feng Chen, David Klindt, Andrew Saxe, Surya Ganguli

The Expressive Capacity of State Space Models: A Formal Language Perspective

#2103 · Yash Sarrof, Yana Veitsman, Michael Hahn

$\boldsymbol{\mu}\mathbf{P^2}$: Effective Sharpness Aware Minimization Requires Layerwise Perturbation Scaling

#2104 · Moritz Haas, Jin Xu, Volkan Cevher, Leena Chennuru Vankadara

Unsupervised Object Detection with Theoretical Guarantees

#2105 · Marian Longa, João Henriques

Mixture of Tokens: Continuous MoE through Cross-Example Aggregation

#2106 · Szymon Antoniak, Michał Krutul, Maciej Pióro, Jakub Krajewski, Jan Ludziejewski, Kamil Ciebiera, Krystian Król, Tomasz Odrzygóźdź, Marek Cygan, Sebastian Jaszczur

FM-Delta: Lossless Compression for Storing Massive Fine-tuned Foundation Models

#2107 · Wanyi Ning, Jingyu Wang, Qi Qi, Mengde Zhu, Haifeng Sun, Daixuan Cheng, Jianxin Liao, Ce Zhang

SHED: Shapley-Based Automated Dataset Refinement for Instruction Fine-Tuning

#2108 · Yexiao He, Ziyao Wang, Zheyu Shen, Guoheng Sun, Yucong Dai, Yongkai Wu, Hongyi Wang, Ang Li

MagR: Weight Magnitude Reduction for Enhancing Post-Training Quantization

#2109 · Aozhong Zhang, Naigang Wang, Yanxia Deng, Xin Li, Zi Yang, Penghang Yin

SpeedLoader: An I/O efficient scheme for heterogeneous and distributed LLM operation

#2110 · Yiqi Zhang, Yang You

QuaRot: Outlier-Free 4-Bit Inference in Rotated LLMs

#2111 · Saleh Ashkboos, Amirkeivan Mohtashami, Maximilian Croci, Bo Li, Pashmina Cameron, Martin Jaggi, Dan Alistarh, Torsten Hoefler, James Hensman

The GAN is dead; long live the GAN! A Modern GAN Baseline

#2200 · Nick Huang, Aaron Gokaslan, Volodymyr Kuleshov, James Tompkin

Nearest Neighbor Speculative Decoding for LLM Generation and Attribution

#2201 · Minghan Li, Xilun Chen, Ari Holtzman, Beidi Chen, Jimmy Lin, Scott Yih, Victoria Lin

Neural Pose Representation Learning for Generating and Transferring Non-Rigid Object Poses

#2202 · Seungwoo Yoo, Juil Koo, Kyeongmin Yeo, Minhyuk Sung

Accelerating Blockwise Parallel Language Models with Draft Refinement

#2203 · Taehyeon Kim, Ananda Theertha Suresh, Kishore Papineni, Michael D Riley, Sanjiv Kumar, Adrian Benton

Open LLMs are Necessary for Current Private Adaptations and Outperform their Closed Alternatives

#2204 · Vincent Hanke, Tom Blanchard, Franziska Boenisch, Iyiola Olatunji, Michael Backes, Adam Dziedzic

Stylus: Automatic Adapter Selection for Diffusion Models

#2205 · Michael Luo, Justin Wong, Brandon Trabucco, Yanping Huang, Joseph Gonzalez, zhifeng Chen, Ruslan Salakhutdinov, Ion Stoica

CIFD: Controlled Information Flow to Enhance Knowledge Distillation

#2206 · Yashas Malur Saidutta, Rakshith Sharma Srinivasa, Jaejin Cho, Ching-Hua Lee, Chouchang Yang, Yilin Shen, Hongxia Jin

SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors

#2207 · Vijay Chandra Lingam, Atula Neerkaje, Aditya Vavre, Aneesh Shetty, Gautham Krishna Gudur, Joydeep Ghosh, Eunsol Choi, Alex Dimakis, Aleksandar Bojchevski, Sujay Sanghavi

Any2Graph: Deep End-To-End Supervised Graph Prediction With An Optimal Transport Loss

#2208 · Paul Krzakala, Junjie Yang, Rémi Flamary, Florence d'Alché-Buc, Charlotte Laclau, Matthieu Labeau

einspace: Searching for Neural Architectures from Fundamental Operations

#2209 · Linus Ericsson, Miguel Espinosa Minano, Chenhongyi Yang, Antreas Antoniou, Amos Storkey, Shay Cohen, Steven McDonagh, Elliot Crowley

Hydra: Bidirectional State Space Models Through Generalized Matrix Mixers

#2210 · Sukjun Hwang, Aakash Sunil Lahoti, Ratish Puduppully, Tri Dao, Albert Gu

A Label is Worth A Thousand Images in Dataset Distillation

#2211 · Tian Qin, Zhiwei Deng, David Alvarez-Melis

Dual Encoder GAN Inversion for High-Fidelity 3D Head Reconstruction from Single Images

#2300 · Bahri Batuhan Bilecen, Ahmet Gökmen, Aysegul Dundar

Evaluating the World Model Implicit in a Generative Model

#2301 · Keyon Vafa, Justin Chen, Ashesh Rambachan, Jon Kleinberg, Sendhil Mullainathan

Light Unbalanced Optimal Transport

#2302 · Milena Gazdieva, Arip Asadulaev, Evgeny Burnaev, Aleksandr Korotin

Hallo3D: Multi-Modal Hallucination Detection and Mitigation for Consistent 3D Content Generation

#2303 · Hongbo Wang, Jie Cao, Jin Liu, Xiaoqiang Zhou, Huaibo Huang, Ran He

Universal Sample Coding

#2304 · Szymon Kobus, Tze-Yang Tung, Deniz Gunduz

Mesa-Extrapolation: A Weave Position Encoding Method for Enhanced Extrapolation in LLMs

#2305 · Xin Ma, Yang Liu, Jingjing Liu, Xiaoxu Ma

AsyncDiff: Parallelizing Diffusion Models by Asynchronous Denoising

#2306 · Zigeng Chen, Xinyin Ma, Gongfan Fang, Zhenxiong Tan, Xinchao Wang

Transfer Learning for Diffusion Models

#2307 · Yidong Ouyang, Liyan Xie, Hongyuan Zha, Guang Cheng

CLIPAway: Harmonizing focused embeddings for removing objects via diffusion models

#2308 · Yiğit Ekin, Ahmet Burak Yildirim, Erdem Eren Çağlar, Aykut Erdem, Erkut Erdem, Aysegul Dundar

Not All Diffusion Model Activations Have Been Evaluated as Discriminative Features

#2309 · Benyuan Meng, Qianqian Xu, Zitai Wang, Xiaochun Cao, Qingming Huang

Online Posterior Sampling with a Diffusion Prior

#2310 · Branislav Kveton, Boris Oreshkin, Youngsuk Park, Aniket Anand Deshmukh, Rui Song

What does guidance do? A fine-grained analysis in a simple setting

#2311 · Muthu Chidambaram, Khashayar Gatmiry, Sitan Chen, Holden Lee, Jianfeng Lu

Conditional Synthesis of 3D Molecules with Time Correction Sampler

#2400 · Hojung Jung, Youngrok Park, Laura Schmid, Jaehyeong Jo, Dongkyu Lee, Bongsang Kim, Se-Young Yun, Jinwoo Shin

Exploring DCN-like architecture for fast image generation with arbitrary resolution

#2401 · Shuai Wang, Zexian Li, Tianhui Song, Xubin Li, Tiezheng Ge, Bo Zheng, Limin Wang

Constrained Diffusion with Trust Sampling

#2402 · William Huang, Yifeng Jiang, Tom Van Wouwe, Karen Liu

BELM: Bidirectional Explicit Linear Multi-step Sampler for Exact Inversion in Diffusion Models

#2403 · Fangyikang Wang, Hubery Yin, Yue-Jiang Dong, Huminhao Zhu, zhang chao, Hanbin Zhao, Hui Qian, Chen Li

Guiding a Diffusion Model with a Bad Version of Itself

#2404 · Tero Karras, Miika Aittala, Tuomas Kynkäänniemi, Jaakko Lehtinen, Timo Aila, Samuli Laine

Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching

#2405 · Xinyin Ma, Gongfan Fang, Michael Bi Mi, Xinchao Wang

DomainGallery: Few-shot Domain-driven Image Generation by Attribute-centric Finetuning

#2406 · Yuxuan Duan, Yan Hong, Bo Zhang, jun lan, Huijia Zhu, Weiqiang Wang, Jianfu Zhang, Li Niu, Liqing Zhang

ID-to-3D: Expressive ID-guided 3D Heads via Score Distillation Sampling

#2407 · Francesca Babiloni, Alexandros Lattas, Jiankang Deng, Stefanos Zafeiriou

Meta-Diffu$B$: A Contextualized Sequence-to-Sequence Text Diffusion Model with Meta-Exploration

#2408 · Yun-Yen Chuang, Hung-Min Hsu, Kevin Lin, Chen-Sheng Gu, Ling-Zhen Li, Ray-I Chang, Hung-yi Lee

Generating compositional scenes via Text-to-image RGBA Instance Generation

#2409 · Alessandro Fontanella, Petru-Daniel Tudosiu, Yongxin Yang, Shifeng Zhang, Sarah Parisot

Few-Shot Diffusion Models Escape the Curse of Dimensionality

#2410 · Ruofeng Yang, Bo Jiang, Cheng Chen, ruinan Jin, Baoxiang Wang, Shuai Li

Accelerating Diffusion Models with Parallel Sampling: Inference at Sub-Linear Time Complexity

#2411 · Haoxuan Chen, Yinuo Ren, Lexing Ying, Grant Rotskoff

On conditional diffusion models for PDE simulations

#2500 · Aliaksandra Shysheya, Cristiana Diaconu, Federico Bergamin, Paris Perdikaris, José Miguel Hernández-Lobato, Richard Turner, Emile Mathieu

Identifying and Solving Conditional Image Leakage in Image-to-Video Diffusion Model

#2501 · Min Zhao, Hongzhou Zhu, Chendong Xiang, Kaiwen Zheng, Chongxuan LI, Jun Zhu

PeRFlow: Piecewise Rectified Flow as Universal Plug-and-Play Accelerator

#2502 · Hanshu Yan, Xingchao Liu, Jiachun Pan, Jun Hao Liew, Qiang Liu, Jiashi Feng

GenWarp: Single Image to Novel Views with Semantic-Preserving Generative Warping

#2503 · Junyoung Seo, Kazumi Fukuda, Takashi Shibuya, Takuya Narihira, Naoki Murata, Shoukang Hu, Chieh-Hsin Lai, Seungryong Kim, Yuki Mitsufuji

Identity Decoupling for Multi-Subject Personalization of Text-to-Image Models

#2504 · Sangwon Jang, Jaehyeong Jo, Kimin Lee, Sung Ju Hwang

Out-of-Distribution Detection with a Single Unconditional Diffusion Model

#2505 · Alvin Heng, alexandre thiery, Harold Soh

Retrieval & Fine-Tuning for In-Context Tabular Models

#2506 · Valentin Thomas, Junwei Ma, Rasa Hosseinzadeh, Keyvan Golestan, Guangwei Yu, Maks Volkovs, Anthony Caterini

Can large language models explore in-context?

#2507 · Akshay Krishnamurthy, Keegan Harris, Dylan J Foster, Cyril Zhang, Aleksandrs Slivkins

LIVE: Learnable In-Context Vector for Visual Question Answering

#2508 · Yingzhe Peng, chenduo hao, Xinting Hu, Jiawei Peng, Xin Geng, Xu Yang

ArkVale: Efficient Generative LLM Inference with Recallable Key-Value Eviction

#2509 · Renze Chen, Zhuofeng Wang, Beiquan Cao, Tong Wu, Size Zheng, Xiuhong Li, Xuechao Wei, Shengen Yan, Meng Li, Yun Liang

BoNBoN Alignment for Large Language Models and the Sweetness of Best-of-n Sampling

#2510 · Lin Gui, Cristina Garbacea, Victor Veitch

Synthetic Programming Elicitation for Text-to-Code in Very Low-Resource Programming and Formal Languages

#2511 · Federico Mora, Justin Wong, Haley Lepe, Sahil Bhatia, Karim Elmaaroufi, George Varghese, Joseph Gonzalez, Elizabeth Polgreen, Sanjit Seshia

GITA: Graph to Visual and Textual Integration for Vision-Language Graph Reasoning

#2600 · Yanbin Wei, Shuai Fu, Weisen Jiang, Zejian Zhang, Zhixiong Zeng, Qi Wu, James Kwok, Yu Zhang

DARG: Dynamic Evaluation of Large Language Models via Adaptive Reasoning Graph

#2601 · Zhehao Zhang, Jiaao Chen, Diyi Yang

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage?

#2602 · Haoang Chi, He Li, Wenjing Yang, Feng Liu, Long Lan, Xiaoguang Ren, Tongliang Liu, Bo Han

A Hitchhikers Guide to Fine-Grained Face Forgery Detection Using Common Sense Reasoning

#2603 · Niki Foteinopoulou, Enjie Ghorbel, Djamila Aouada

OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset

#2604 · Shubham Toshniwal, Ivan Moshkov, Sean Narenthiran, Daria Gitman, Fei Jia, Igor Gitman

Chain-of-Thought Unfaithfulness as Disguised Accuracy

#2605 · Ana Marasovic, Nathan Stringham, Oliver Bentham

Discovering Sparsity Allocation for Layer-wise Pruning of Large Language Models

#2606 · Lujun Li, Peijie Dong, Zhenheng Tang, Xiang Liu, Qiang Wang, Wenhan Luo, Wei Xue, Qifeng Liu, Xiaowen Chu, Yike Guo

Smoothie: Label Free Language Model Routing

#2607 · Neel Guha, Mayee Chen, Trevor Chow, Ishan Khare, Christopher Ré

Would I Lie To You? Inference Time Alignment of Language Models using Direct Preference Heads

#2608 · Avelina Hadji-Kyriacou, Ognjen Arandjelovic

HYDRA: Model Factorization Framework for Black-Box LLM Personalization

#2609 · Yuchen Zhuang, Haotian Sun, Yue Yu, Rushi Qiang, Qifan Wang, Chao Zhang, Bo Dai

Expectile Regularization for Fast and Accurate Training of Neural Optimal Transport

#2610 · Nazar Buzun, Maksim Bobrin, Dmitry V. Dylov

InfoRM: Mitigating Reward Hacking in RLHF via Information-Theoretic Reward Modeling

#2611 · Yuchun Miao, Sen Zhang, Liang Ding, Rong Bao, Lefei Zhang, Dacheng Tao

AutoMix: Automatically Mixing Language Models

#2700 · Pranjal Aggarwal, Aman Madaan, Ankit Anand, Srividya Pranavi Potharaju, Swaroop Mishra, Pei Zhou, Aditya Gupta, Dheeraj Rajagopal, Karthik Kappaganthu, Yiming Yang, Shyam Upadhyay, Manaal Faruqui, Mausam

Is Programming by Example solved by LLMs?

#2701 · Wen-Ding Li, Kevin Ellis

GLBench: A Comprehensive Benchmark for Graph with Large Language Models

#2702 · Yuhan Li, Peisong Wang, Xiao Zhu, Aochuan Chen, Haiyun Jiang, Deng Cai, Wai Kin (Victor) Chan, Jia Li

Revisiting, Benchmarking and Understanding Unsupervised Graph Domain Adaptation

#2703 · Meihan Liu, Zhen Zhang, Jiachen Tang, Jiajun Bu, Bingsheng He, Sheng Zhou

Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification

#2704 · Yuankai Luo, Lei Shi, Xiao-Ming Wu

Graph Classification via Reference Distribution Learning: Theory and Practice

#2705 · Zixiao Wang, Jicong Fan

Temporal Graph Neural Tangent Kernel with Graphon-Guaranteed

#2706 · Katherine Tieu, Dongqi Fu, Yada Zhu, Hendrik Hamann, Jingrui He

Faster Local Solvers for Graph Diffusion Equations

#2707 · Jiahe Bai, Baojian Zhou, Deqing Yang, Yanghua Xiao

Using Time-Aware Graph Neural Networks to Predict Temporal Centralities in Dynamic Graphs

#2708 · Franziska Heeg, Ingo Scholtes

Lambda: Learning Matchable Prior For Entity Alignment with Unlabeled Dangling Cases

#2709 · Hang Yin, Liyao Xiang, Dong Ding, Yuheng He, Yihan Wu, Pengzhi Chu, Xinbing Wang, Chenghu Zhou

Are High-Degree Representations Really Unnecessary in Equivariant Graph Neural Networks?

#2710 · Jiacheng Cen, Anyi Li, Ning Lin, Yuxiang Ren, Zihe Wang, Wenbing Huang

Enhancing Graph Transformers with Hierarchical Distance Structural Encoding

#2711 · Yuankai Luo, Hongkang Li, Lei Shi, Xiao-Ming Wu

Relational Concept Bottleneck Models

#2800 · Pietro Barbiero, Francesco Giannini, Gabriele Ciravegna, Michelangelo Diligenti, Giuseppe Marra

Language Model as Visual Explainer

#2801 · Xingyi Yang, Xinchao Wang

Evidence of Learned Look-Ahead in a Chess-Playing Neural Network

#2802 · Erik Jenner, Shreyas Kapur, Vasil Georgiev, Cameron Allen, Scott Emmons, Stuart J Russell

Hypothesis Testing the Circuit Hypothesis in LLMs

#2803 · Claudia Shi, Nicolas Beltran Velez, Achille Nazaret, Carolina Zheng, Adrià Garriga-Alonso, Andrew Jesson, Maggie Makar, David Blei

MambaLRP: Explaining Selective State Space Sequence Models

#2804 · Farnoush Rezaei Jafari, Grégoire Montavon, Klaus-Robert Müller, Oliver Eberle

Testing Calibration in Nearly-Linear Time

#2805 · Lunjia Hu, Arun Jambulapati, Kevin Tian, Chutong Yang

On the Reproducibility of: "Learning Perturbations to Explain Time Series Predictions"

#2806 · Jasper Eppink, Floris Six Dijkstra, Wouter Bant, Ádám Divák

Emotion-LLaMA: Multimodal Emotion Recognition and Reasoning with Instruction Tuning

#2807 · Zebang Cheng, Zhi-Qi Cheng, Jun-Yan He, Kai Wang, Yuxiang Lin, Zheng Lian, Xiaojiang Peng, Alexander Hauptmann

Long-range Brain Graph Transformer

#2808 · Shuo Yu, Shan Jin, Ming Li, Tabinda Sarwar, Feng Xia

Extracting Training Data from Molecular Pre-trained Models

#2809 · Renhong Huang, Jiarong Xu, Zhiming Yang, Xiang Si, Xin Jiang, Hanyang Yuan, Chunping Wang, YANG YANG

Sequential Signal Mixing Aggregation for Message Passing Graph Neural Networks

#2810 · Mitchell Keren Taraday, Almog David, Chaim Baskin

Spiking Graph Neural Network on Riemannian Manifolds

#2811 · Li Sun, Zhenhao Huang, Qiqi Wan, Hao Peng, Philip S Yu

Transcoders find interpretable LLM feature circuits

#2900 · Jacob Dunefsky, Philippe Chlenski, Neel Nanda

Talking Heads: Understanding Inter-Layer Communication in Transformer Language Models

#2901 · Jack Merullo, Carsten Eickhoff, Ellie Pavlick

MeLLoC: Lossless Compression with High-order Mechanism Learning

#2902 · Xinyue Luo, Jin Cheng, Yu Chen

Decomposing and Interpreting Image Representations via Text in ViTs Beyond CLIP

#2903 · Sriram Balasubramanian, Samyadeep Basu, Soheil Feizi

A Functional Extension of Semi-Structured Networks

#2904 · David Rügamer, Bernard Liew, Zainab Altai, Almond Stöcker

Diffusion PID: Interpreting Diffusion via Partial Information Decomposition

#2905 · Shaurya Dewan, Rushikesh Zawar, Prakanshul Saxena, Yingshan CHANG, Andrew Luo, Yonatan Bisk

InversionView: A General-Purpose Method for Reading Information from Neural Activations

#2906 · Xinting Huang, Madhur Panwar, Navin Goyal, Michael Hahn

Who's asking? User personas and the mechanics of latent misalignment

#2907 · Asma Ghandeharioun, Ann Yuan, Marius Guerard, Emily Reif, Michael Lepori, Lucas Dixon

Pre-trained Large Language Models Use Fourier Features to Compute Addition

#2908 · Tianyi Zhou, Deqing Fu, Vatsal Sharan, Robin Jia

AR-Pro: Counterfactual Explanations for Anomaly Repair with Formal Properties

#2909 · Xiayan Ji, Anton Xue, Eric Wong, Oleg Sokolsky, Insup Lee

Hyperbolic Embeddings of Supervised Models

#2910 · Richard Nock, Ehsan Amid, Frank Nielsen, Alexander Soen, Manfred Warmuth

Emergence of Hidden Capabilities: Exploring Learning Dynamics in Concept Space

#2911 · Core Francisco Park, Maya Okawa, Andrew Lee, Ekdeep S Lubana, Hidenori Tanaka

Long-form factuality in large language models

#3000 · Jerry Wei, Chengrun Yang, Xinying Song, Yifeng Lu, Nathan Hu, Jie Huang, Dustin Tran, Daiyi Peng, Ruibo Liu, Da Huang, Cosmo Du, Quoc V Le

StreamingDialogue: Prolonged Dialogue Learning via Long Context Compression with Minimal Losses

#3001 · JIANAN LI, Quan Tu, Cunli Mao, Zhengtao Yu, Ji-Rong Wen, Rui Yan

Limits of Transformer Language Models on Learning to Compose Algorithms

#3002 · Jonathan Thomm, Giacomo Camposampiero, Aleksandar Terzic, Michael Hersche, Bernhard Schölkopf, Abbas Rahimi

Train-Attention: Meta-Learning Where to Focus in Continual Knowledge Learning

#3003 · Seo Yeongbin, Dongha Lee, Jinyoung Yeo

WizardArena: Post-training Large Language Models via Simulated Offline Chatbot Arena

#3004 · HAIPENG LUO, Qingfeng Sun, Can Xu, Pu Zhao, Qingwei Lin, Jian-Guang Lou, Shifeng Chen, Yansong Tang, Weizhu Chen

Zero-Shot Tokenizer Transfer

#3005 · Benjamin Minixhofer, Edoardo Maria Ponti, Ivan Vulić

Unpacking DPO and PPO: Disentangling Best Practices for Learning from Preference Feedback

#3006 · Hamish Ivison, Yizhong Wang, Jiacheng Liu, Zeqiu Wu, Valentina Pyatkin, Nathan Lambert, Noah Smith, Yejin Choi, Hanna Hajishirzi

Aligning LLM Agents by Learning Latent Preference from User Edits

#3007 · Ge Gao, Alexey Taymanov, Eduardo Salinas, Paul Mineiro, Dipendra Misra

Toxicity Detection for Free

#3008 · Zhanhao Hu, Julien Piet, Geng Zhao, Jiantao Jiao, David Wagner

Improving Sparse Decomposition of Language Model Activations with Gated Sparse Autoencoders

#3009 · Senthooran Rajamanoharan, Arthur Conmy, Lewis Smith, Tom Lieberum, Vikrant Varma, Janos Kramar, Rohin Shah, Neel Nanda

Reasons and Solutions for the Decline in Model Performance after Editing

#3010 · Xiusheng Huang, Jiaxiang Liu, Yequan Wang, Kang Liu

Understanding Information Storage and Transfer in Multi-Modal Large Language Models

#3011 · Samyadeep Basu, Martin Grayson, Cecily Morrison, Besmira Nushi, Soheil Feizi, Daniela Massiceti

HaloScope: Harnessing Unlabeled LLM Generations for Hallucination Detection

#3100 · Xuefeng Du, Chaowei Xiao, Sharon Li

ReMoDetect: Reward Models Recognize Aligned LLM's Generations

#3101 · Hyunseok Lee, Jihoon Tack, Jinwoo Shin

GlotCC: An Open Broad-Coverage CommonCrawl Corpus and Pipeline for Minority Languages

#3102 · Amir Hossein Kargaran, François Yvon, Hinrich Schuetze

Personalized Steering of Large Language Models: Versatile Steering Vectors Through Bi-directional Preference Optimization

#3103 · Yuanpu Cao, Tianrong Zhang, Bochuan Cao, Ziyi Yin, Lu Lin, Fenglong Ma, Jinghui Chen

Adaptive Layer Sparsity for Large Language Models via Activation Correlation Assessment

#3104 · Wei Li, Lujun Li, Mark Lee, Shengjie Sun

D-LLM: A Token Adaptive Computing Resource Allocation Strategy for Large Language Models

#3105 · Yikun Jiang, Huanyu Wang, Lei Xie, Hanbin Zhao, zhang chao, Hui Qian, John C.S. Lui

Preference Learning Algorithms Do Not Learn Preference Rankings

#3106 · Angelica Chen, Sadhika Malladi, Lily Zhang, Xinyi Chen, Qiuyi (Richard) Zhang, Rajesh Ranganath, Kyunghyun Cho

$\beta$-DPO: Direct Preference Optimization with Dynamic $\beta$

#3107 · Junkang Wu, Yuexiang Xie, Zhengyi Yang, Jiancan Wu, Jinyang Gao, Bolin Ding, Xiang Wang, Xiangnan He

QUEST: Quality-Aware Metropolis-Hastings Sampling for Machine Translation

#3108 · Gonçalo Faria, Sweta Agrawal, António Farinhas, Ricardo Rei, José de Souza, André Martins

Alignment for Honesty

#3109 · Yuqing Yang, Ethan Chern, Xipeng Qiu, Graham Neubig, Pengfei Liu

COLD: Causal reasOning in cLosed Daily activities

#3110 · Abhinav Joshi, areeb ahmad, Ashutosh Modi

UrbanKGent: A Unified Large Language Model Agent Framework for Urban Knowledge Graph Construction

#3111 · Yansong Ning, Hao Liu

Hierarchical Hybrid Sliced Wasserstein: A Scalable Metric for Heterogeneous Joint Distributions

#3200 · Khai Nguyen, Nhat Ho

Multi-Instance Partial-Label Learning with Margin Adjustment

#3201 · Wei Tang, Yin-Fang Yang, Zhaofei Wang, Weijia Zhang, Min-Ling Zhang

Data-Driven Discovery of Dynamical Systems in Pharmacology using Large Language Models

#3202 · Samuel Holt, Zhaozhi Qian, Tennison Liu, Jim Weatherall, Mihaela van der Schaar

ESPACE: Dimensionality Reduction of Activations for Model Compression

#3203 · Charbel Sakr, Brucek Khailany

FedLPA: One-shot Federated Learning with Layer-Wise Posterior Aggregation

#3204 · Xiang Liu, Liangxi Liu, Feiyang Ye, Yunheng Shen, Xia Li, Linshan Jiang, Jialin Li

Unified Speech Recognition: A Single Model for Auditory, Visual, and Audiovisual Inputs

#3205 · Alexandros Haliassos, Rodrigo Mira, Honglie Chen, Zoe Landgraf, Stavros Petridis, Maja Pantic

UniAudio 1.5: Large Language Model-Driven Audio Codec is A Few-Shot Audio Task Learner

#3206 · Dongchao Yang, Haohan Guo, Yuanyuan Wang, Rongjie Huang, Xiang Li, Xu Tan, Xixin Wu, Helen Meng

SSDM: Scalable Speech Dysfluency Modeling

#3207 · Jiachen Lian, Xuanru Zhou, Zoe Ezzes, Jet Vonk, Brittany Morin, David Paul Baquirin, Zachary Miller, Maria Luisa Gorno Tempini, Gopala Anumanchipalli

SCOREQ: Speech Quality Assessment with Contrastive Regression

#3208 · Alessandro Ragano, Jan Skoglund, Andrew Hines

SongCreator: Lyrics-based Universal Song Generation

#3209 · Shun Lei, Yixuan Zhou, Boshi Tang, Max W. Y. Lam, Feng liu, Hangyu Liu, Jingcheng Wu, Shiyin Kang, Zhiyong Wu, Helen Meng

Should We Really Edit Language Models? On the Evaluation of Edited Language Models

#3210 · Qi Li, Xiang Liu, Zhenheng Tang, Peijie Dong, Zeyu Li, Xinglin Pan, Xiaowen Chu

Knowledge Circuits in Pretrained Transformers

#3211 · Yunzhi Yao, Ningyu Zhang, Zekun Xi, Mengru Wang, Ziwen Xu, Shumin Deng, Huajun Chen

Efficient Convex Algorithms for Universal Kernel Learning

#3300 · Aleksandr Talitckii, Brendon Colbert, Matthew Peet

Wasserstein convergence of Cech persistence diagrams for samplings of submanifolds

#3301 · Charles Arnal, David Cohen-Steiner, Vincent Divol

Enriching Disentanglement: From Logical Definitions to Quantitative Metrics

#3302 · Yivan Zhang, Masashi Sugiyama

FedNE: Surrogate-Assisted Federated Neighbor Embedding for Dimensionality Reduction

#3303 · Ziwei Li, Xiaoqi Wang, Hong-You Chen, Han Wei Shen, Wei-Lun (Harry) Chao

Better by default: Strong pre-tuned MLPs and boosted trees on tabular data

#3304 · David Holzmüller, Leo Grinsztajn, Ingo Steinwart

Reshuffling Resampling Splits Can Improve Generalization of Hyperparameter Optimization

#3305 · Thomas Nagler, Lennart Schneider, Bernd Bischl, Matthias Feurer

Test-time Adaptation in Non-stationary Environments via Adaptive Representation Alignment

#3306 · Zhen-Yu Zhang, Zhiyu Xie, Huaxiu Yao, Masashi Sugiyama

Enhancing Domain Adaptation through Prompt Gradient Alignment

#3307 · Viet Hoang Phan, Tung Lam Tran, Quyen Tran, Trung Le

Distributional Successor Features Enable Zero-Shot Policy Optimization

#3308 · Chuning Zhu, Xinqi Wang, Tyler Han, Simon Du, Abhishek Gupta

SAFE: Slow and Fast Parameter-Efﬁcient Tuning for Continual Learning with Pre-Trained Models

#3309 · Linglan Zhao, Xuerui Zhang, Ke Yan, Shouhong Ding, Weiran Huang

Mixture of Adversarial LoRAs: Boosting Robust Generalization in Meta-Tuning

#3310 · Xu Yang, Chen Liu, Ying Wei

Federated Learning over Connected Modes

#3311 · Dennis Grinwald, Philipp Wiesner, Shinichi Nakajima

CodeRosetta: Pushing the Boundaries of Unsupervised Code Translation for Parallel Programming

#3400 · Ali TehraniJamsaz, Arijit Bhattacharjee, Le Chen, Nesreen K. Ahmed, Amir Yazdanbakhsh, Ali Jannesari

Continuous Contrastive Learning for Long-Tailed Semi-Supervised Recognition

#3401 · Zi-Hao Zhou, Siyuan Fang, Zi-Jing Zhou, Tong Wei, Yuanyu Wan, Min-Ling Zhang

Efficient Centroid-Linkage Clustering

#3402 · Mohammadhossein Bateni, Laxman Dhulipala, Willem Fletcher, Kishen N. Gowda, D Ellis Hershkowitz, Rajesh Jayaram, Jakub Lacki

Inference on the Change Point under a High Dimensional Covariance Shift

#3403 · Abhishek Kaul, Hongjin Zhang, Konstantinos Tsampourakis, George Michailidis

Generic Unsupervised Optimization for a Latent Variable Model With Exponential Family Observables

#3404 · Hamid Mousavi, Jakob Drefs, Florian Hirschberger, Jörg Lücke

Semantic Feature Learning for Universal Unsupervised Cross-Domain Retrieval

#3405 · Lixu Wang, Xinyu Du, Qi Zhu

Dynamic Neural Regeneration: Enhancing Deep Learning Generalization on Small Datasets

#3406 · Vijaya Raghavan Ramkumar, Elahe Arani, Bahram Zonooz

Learning De-Biased Representations for Remote-Sensing Imagery

#3407 · Zichen Tian, Zhaozheng CHEN, QIANRU SUN

TinyTTA: Efficient Test-time Adaptation via Early-exit Ensembles on Edge Devices

#3408 · Hong Jia, Young Kwon, Alessio Orsino, Ting Dang, DOMENICO TALIA, Cecilia Mascolo

Large Scale Transfer Learning for Tabular Data via Language Modeling

#3409 · Josh Gardner, Juan Perdomo, Ludwig Schmidt

Transforming Vision Transformer: Towards Efficient Multi-Task Asynchronous Learner

#3410 · Hanwen Zhong, Jiaxin Chen, Yutong Zhang, Di Huang, Yunhong Wang

Structured Unrestricted-Rank Matrices for Parameter Efficient Finetuning

#3411 · Arijit Sehanobish, Kumar Avinava Dubey, Krzysztof M Choromanski, Somnath Basu Roy Chowdhury, Deepali Jain, Vikas Sindhwani, Snigdha Chaturvedi

IWBVT: Instance Weighting-based Bias-Variance Trade-off for Crowdsourcing

#3500 · Wenjun Zhang, Liangxiao Jiang, Chaoqun Li

Boosting Vision-Language Models with Transduction

#3501 · Maxime Zanella, Benoît Gérin, Ismail Ayed

Happy: A Debiased Learning Framework for Continual Generalized Category Discovery

#3502 · Shijie Ma, Fei Zhu, Zhun Zhong, Wenzhuo Liu, Xu-yao Zhang, Cheng-lin Liu

Instructor-inspired Machine Learning for Robust Molecular Property Prediction

#3503 · Fang Wu, Shuting Jin, Siyuan Li, Stan Z. Li

FIRE: A Dataset for Feedback Integration and Refinement Evaluation of Multimodal Models

#3504 · Pengxiang Li, Zhi Gao, Bofei Zhang, Tao Yuan, Yuwei Wu, Mehrtash Harandi, Yunde Jia, Song-Chun Zhu, Qing Li

VLKEB: A Large Vision-Language Model Knowledge Editing Benchmark

#3505 · Han Huang, Haitian Zhong, Tao Yu, Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan

Unraveling Molecular Structure: A Multimodal Spectroscopic Dataset for Chemistry

#3506 · Marvin Alberts, Oliver Schilter, Federico Zipoli, Nina Hartrampf, Teodoro Laino

Bridge the Modality and Capability Gaps in Vision-Language Model Selection

#3507 · Chao Yi, Yuhang He, De-Chuan Zhan, Han-Jia Ye

AV-GS: Learning Material and Geometry Aware Priors for Novel View Acoustic Synthesis

#3508 · Swapnil Bhosale, Haosen Yang, Diptesh Kanojia, Jiankang Deng, Xiatian Zhu

Matryoshka Query Transformer for Large Vision-Language Models

#3509 · Wenbo Hu, Zi-Yi Dou, Liunian Li, Amita Kamath, Nanyun Peng, Kai-Wei Chang

LLaNA: Large Language and NeRF Assistant

#3510 · Andrea Amaduzzi, Pierluigi Zama Ramirez, Giuseppe Lisanti, Samuele Salti, Luigi Di Stefano

Visual Sketchpad: Sketching as a Visual Chain of Thought for Multimodal Language Models

#3511 · Yushi Hu, Weijia Shi, Xingyu Fu, Dan Roth, Mari Ostendorf, Luke Zettlemoyer, Noah Smith, Ranjay Krishna

Lumen: Unleashing Versatile Vision-Centric Capabilities of Large Multimodal Models

#3600 · Yang Jiao, Shaoxiang Chen, Zequn Jie, Jingjing Chen, Lin Ma, Yu-Gang Jiang

Black-Box Forgetting

#3601 · Yusuke Kuwana, Yuta Goto, Takashi Shibata, Go Irie

LocCa: Visual Pretraining with Location-aware Captioners

#3602 · Bo Wan, Michael Tschannen, Yongqin Xian, Filip Pavetic, Ibrahim Alabdulmohsin, Xiao Wang, André Susano Pinto, Andreas Steiner, Lucas Beyer, Xiaohua Zhai

FuseMoE: Mixture-of-Experts Transformers for Fleximodal Fusion

#3603 · Xing Han, Huy Nguyen, Carl Harris, Nhat Ho, Suchi Saria

Q-VLM: Post-training Quantization for Large Vision-Language Models

#3604 · Changyuan Wang, Ziwei Wang, Xiuwei Xu, Yansong Tang, Jie Zhou, Jiwen Lu

CountGD: Multi-Modal Open-World Counting

#3605 · Niki Amini-Naieni, Tengda Han, Andrew Zisserman

DeTikZify: Synthesizing Graphics Programs for Scientific Figures and Sketches with TikZ

#3606 · Jonas Belouadi, Simone Ponzetto, Steffen Eger

VisMin: Visual Minimal-Change Understanding

#3607 · Rabiul Awal, Saba Ahmadi, LE ZHANG, Aishwarya Agrawal

An End-To-End Graph Attention Network Hashing for Cross-Modal Retrieval

#3608 · Huilong Jin, Yingxue Zhang, Lei Shi, Shuang Zhang, Feifei Kou, Jiapeng Yang, Chuangying Zhu, Jia Luo

Mobile-Agent-v2: Mobile Device Operation Assistant with Effective Navigation via Multi-Agent Collaboration

#3609 · Junyang Wang, Haiyang Xu, Haitao Jia, Xi Zhang, Ming Yan, Weizhou Shen, Ji Zhang, Fei Huang, Jitao Sang

Seeing the Image: Prioritizing Visual Correlation by Contrastive Alignment

#3610 · Xin Xiao, Bohong Wu, Jiacong Wang, Chunyuan Li, zhou Xun, Haoyuan Guo

Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models

#3611 · Byung-Kwan Lee, Chae Won Kim, Beomchan Park, Yong Man Ro

Flexible Context-Driven Sensory Processing in Dynamical Vision Models

#3700 · Lakshmi Narasimhan Govindarajan, Abhiram Iyer, Valmiki Kothare, Ila Fiete

Temporal-Difference Learning Using Distributed Error Signals

#3701 · Jonas Guan, Shon Verch, Claas Voelcker, Ethan Jackson, Nicolas Papernot, William Cunningham

QKFormer: Hierarchical Spiking Transformer using Q-K Attention

#3702 · chenlin zhou, Han Zhang, Zhaokun Zhou, Liutao Yu, Liwei Huang, Xiaopeng Fan, Li Yuan, Zhengyu Ma, Huihui Zhou, Yonghong Tian

MiSO: Optimizing brain stimulation to create neural activity states

#3703 · Yuki Minai, Joana Soldado-Magraner, Matthew Smith, Byron M Yu

Neural Embeddings Rank: Aligning 3D latent dynamics with movements

#3704 · Chenggang Chen, Zhiyu Yang, Xiaoqin Wang

Geometry of naturalistic object representations in recurrent neural network models of working memory

#3705 · Xiaoxuan Lei, Takuya Ito, Pouya Bashivan

FEEL-SNN: Robust Spiking Neural Networks with Frequency Encoding and Evolutionary Leak Factor

#3706 · Mengting Xu, De Ma, Huajin Tang, Qian Zheng, Gang Pan

Recurrent Complex-Weighted Autoencoders for Unsupervised Object Discovery

#3707 · Anand Gopalakrishnan, Aleksandar Stanić, Jürgen Schmidhuber, Michael Mozer

Recurrent neural network dynamical systems for biological vision

#3708 · Wayne Soo, Aldo Battista, Puria Radmard, Xiao-Jing Wang

Poisson Variational Autoencoder

#3709 · Hadi Vafaii, Dekel Galor, Jacob Yates

A scalable generative model for dynamical system reconstruction from neuroimaging data

#3710 · Eric Volkmann, Alena Brändle, Daniel Durstewitz, Georgia Koppe

Nonlinear dynamics of localization in neural receptive fields

#3711 · Leon Lufkin, Andrew Saxe, Erin Grant

DeepLag: Discovering Deep Lagrangian Dynamics for Intuitive Fluid Prediction

#3800 · Qilong Ma, Haixu Wu, Lanxiang Xing, Shangchen Miao, Mingsheng Long

Quadratic Quantum Variational Monte Carlo

#3801 · Baiyu Su, Qiang Liu

Dual Cone Gradient Descent for Training Physics-Informed Neural Networks

#3802 · Youngsik Hwang, Dongyoung Lim

Towards training digitally-tied analog blocks via hybrid gradient computation

#3803 · Timothy Nest, Maxence Ernoult

Rethinking Parity Check Enhanced Symmetry-Preserving Ansatz

#3804 · Ge Yan, Mengfei Ran, Ruocheng Wang, Kaisen Pan, Junchi Yan

Amortized Fourier Neural Operators

#3805 · Zipeng Xiao, Siqi Kou, Hao Zhongkai, Bokai Lin, Zhijie Deng

From Biased to Unbiased Dynamics: An Infinitesimal Generator Approach

#3806 · Timothée Devergne, Vladimir Kostic, Michele Parrinello, Massimiliano Pontil

Fourier Neural Operator with Learned Deformations for PDEs on General Geometries

#3807 · Zongyi Li, Daniel Zhengyu Huang, Burigede Liu, Anima Anandkumar

Fourier Amplitude and Correlation Loss: Beyond Using L2 Loss for Skillful Precipitation Nowcasting

#3808 · Chiu-Wai Yan, Shi Quan Foo, Van Hoan Trinh, Dit-Yan Yeung, Ka-Hing Wong, Wai-kin Wong

Physics-Regularized Multi-Modal Image Assimilation for Brain Tumor Localization

#3809 · Michal Balcerak, Tamaz Amiranashvili, Andreas Wagner, Jonas Weidner, Petr Karnakov, Johannes C. Paetzold, Ivan Ezhov, Petros Koumoutsakos, Benedikt Wiestler, bjoern menze

Continuous Spatiotemporal Events Decoupling through Spike-based Bayesian Computation

#3810 · Yajing Zheng, Jiyuan Zhang, Tiejun Huang, Zhaofei Yu

A Polar coordinate system represents syntax in large language models

#3811 · Pablo J. Diego Simon, Stéphane d'Ascoli, Emmanuel Chemla, Yair Lakretz, Jean-Remi King

Low Degree Hardness for Broadcasting on Trees

#3900 · Han Huang, Elchanan Mossel

HYSYNTH: Context-Free LLM Approximation for Guiding Program Synthesis

#3901 · Shraddha Barke, Emmanuel Anaya Gonzalez, Saketh Ram Kasibatla, Taylor Berg-Kirkpatrick, Nadia Polikarpova

Inflationary Flows: Calibrated Bayesian Inference with Diffusion-Based Models

#3902 · Daniela de Albuquerque, John Pearson

Hyper-opinion Evidential Deep Learning for Out-of-Distribution Detection

#3903 · Jingen Qu, Yufei Chen, Xiaodong Yue, Wei Fu, Qiguang Huang

Hierarchical Uncertainty Exploration via Feedforward Posterior Trees

#3904 · Elias Nehme, Rotem Mulayoff, Tomer Michaeli

Foundation Inference Models for Markov Jump Processes

#3905 · David Berghaus, Kostadin Cvejoski, Patrick Seifner, César Ali Ojeda Marin, Ramsés J. Sánchez

Rethinking the Diffusion Models for Missing Data Imputation: A Gradient Flow Perspective

#3906 · Zhichao Chen, Haoxuan Li, Fangyikang Wang, Odin Zhang, Hu Xu, Xiaoyu Jiang, Zhihuan Song, Hao Wang

FSP-Laplace: Function-Space Priors for the Laplace Approximation in Bayesian Deep Learning

#3907 · Tristan Cinquin, Marvin Pförtner, Vincent Fortuin, Philipp Hennig, Robert Bamler

eXponential FAmily Dynamical Systems (XFADS): Large-scale nonlinear Gaussian state-space modeling

#3908 · Matthew Dowling, Yuan Zhao, Memming Park

Stochastic Kernel Regularisation Improves Generalisation in Deep Kernel Machines

#3909 · Edward Milsom, Ben Anson, Laurence Aitchison

Improving Linear System Solvers for Hyperparameter Optimisation in Iterative Gaussian Processes

#3910 · Jihao Andreas Lin, Shreyas Padhy, Bruno Mlodozeniec, Javier Antorán, José Miguel Hernández-Lobato

Reverse Transition Kernel: A Flexible Framework to Accelerate Diffusion Inference

#3911 · Xunpeng Huang, Difan Zou, Hanze Dong, Zhang, Yian Ma, Tong Zhang

EMVP: Embracing Visual Foundation Model for Visual Place Recognition with Centroid-Free Probing

#4000 · Qibo Qiu, Shun Zhang, Haiming Gao, Honghui Yang, Haochao Ying, Wenxiao Wang, Xiaofei He

Grasp as You Say: Language-guided Dexterous Grasp Generation

#4001 · Yi-Lin Wei, Jian-Jian Jiang, Chengyi Xing, Xian-Tuo Tan, Xiao-Ming Wu, Hao Li, Mark Cutkosky, Wei-Shi Zheng

GAMap: Zero-Shot Object Goal Navigation with Multi-Scale Geometric-Affordance Guidance

#4002 · shuaihang yuan, Hao Huang, Yu Hao, Congcong Wen, Anthony Tzes, Yi Fang

Humanoid Locomotion as Next Token Prediction

#4003 · Ilija Radosavovic, Jathushan Rajasegaran, Baifeng Shi, Bike Zhang, Sarthak Kamat, Koushil Sreenath, Trevor Darrell, Jitendra Malik

MeMo: Meaningful, Modular Controllers via Noise Injection

#4004 · Megan Tjandrasuwita, Jie Xu, Armando Solar-Lezama, Wojciech Matusik

Map It Anywhere: Empowering BEV Map Prediction using Large-scale Public Datasets

#4005 · Cherie Ho, Jiaye Zou, Omar Alama, Sai Mitheran Jagadesh Kumar, Cheng-Yu Chiang, Taneesh Gupta, Chen Wang, Nikhil Keetha, Katia Sycara, Sebastian Scherer

A Retrospective on the Robot Air Hockey Challenge: Benchmarking Robust, Reliable, and Safe Learning Techniques for Real-world Robotics

#4006 · Puze Liu, Jonas Günster, Niklas Funk, Simon Gröger, Dong Chen, Haitham Bou Ammar, Julius Jankowski, Ante Marić, Sylvain Calinon, Andrej Orsula, Miguel Olivares, Hongyi Zhou, Rudolf Lioutikov, Gerhard Neumann, Amarildo Likmeta, Amirhossein Zhalehmehrabi, Thomas Bonenfant, Marcello Restelli, Davide Tateo, Ziyuan Liu, Jan Peters

Unscrambling disease progression at scale: fast inference of event permutations with optimal transport

#4007 · Peter Wijeratne, Daniel Alexander

Mutual Information Estimation via Normalizing Flows

#4008 · Ivan Butakov, Aleksandr Tolmachev, Sofia Malanchuk, Anna Neopryatnaya, Alexey Frolov

Bayesian Online Natural Gradient (BONG)

#4009 · Matt Jones, Peter Chang, Kevin Murphy

Constrained Sampling with Primal-Dual Langevin Monte Carlo

#4010 · Luiz F. O. Chamon, Mohammad Reza Karimi Jaghargh, Anna Korba

Efficient Streaming Algorithms for Graphlet Sampling

#4011 · Yann Bourreau, Marco Bressan, T-H. Hubert Chan, Qipeng Kuang, Mauro Sozio

Long-Horizon Planning for Multi-Agent Robots in Partially Observable Environments

#4100 · Sid Nayak, Adelmo Morrison Orozco, Marina Have, Jackson Zhang, Vittal Thirumalai, Darren Chen, Aditya Kapoor, Eric Robinson, Karthik Gopalakrishnan, James Harrison, Anuj Mahajan, Brian Ichter, Hamsa Balakrishnan

LaKD: Length-agnostic Knowledge Distillation for Trajectory Prediction with Any Length Observations

#4101 · Yuhang Li, Changsheng Li, Ruilin Lv, Rongqing Li, Ye Yuan, Guoren Wang

Input-to-State Stable Coupled Oscillator Networks for Closed-form Model-based Control in Latent Space

#4102 · Maximilian Stölzle, Cosimo Della Santina

Learning Cooperative Trajectory Representations for Motion Forecasting

#4103 · Hongzhi Ruan, Haibao Yu, Wenxian Yang, Siqi Fan, Zaiqing Nie

On-Road Object Importance Estimation: A New Dataset and A Model with Multi-Fold Top-Down Guidance

#4104 · Zhixiong Nan, Yilong Chen, Tianfei Zhou, Tao Xiang

CausalStock: Deep End-to-end Causal Discovery for News-driven Multi-stock Movement Prediction

#4105 · Shuqi Li, Yuebo Sun, Yuxin Lin, Xin Gao, Shuo Shang, Rui Yan

UniMTS: Unified Pre-training for Motion Time Series

#4106 · Xiyuan Zhang, Diyan Teng, Ranak Roy Chowdhury, Shuheng Li, Dezhi Hong, Rajesh Gupta, Jingbo Shang

Shape analysis for time series

#4107 · Thibaut Germain, Samuel Gruffaz, Charles Truong, Alain Durmus, Laurent Oudre

ReMAP: Neural Model Reprogramming with Network Inversion and Retrieval-Augmented Mapping for Adaptive Motion Forecasting

#4108 · Sharmita Dey, Sarath Ravindran Nair

Are Self-Attentions Effective for Time Series Forecasting?

#4109 · Dongbin Kim, Jinseong Park, Jaewook Lee, Hoki Kim

Personalized Adapter for Large Meteorology Model on Devices: Towards Weather Foundation Models

#4110 · Shengchao Chen, Guodong Long, Jing Jiang, Chengqi Zhang

CALANet: Cheap All-Layer Aggregation for Human Activity Recognition

#4111 · Jaegyun Park, Dae-Won Kim, Jaesung Lee

Differentially Private Stochastic Gradient Descent with Fixed-Size Minibatches: Tighter RDP Guarantees with or without Replacement

#4200 · Jeremiah Birrell, Reza Ebrahimi, Rouzbeh Behnia, Jason Pacheco

Provably Safe Neural Network Controllers via Differential Dynamic Logic

#4201 · Samuel Teuber, Stefan Mitsch, André Platzer

Data-Efficient Learning with Neural Programs

#4202 · Alaia Solko-Breslin, Seewon Choi, Ziyang Li, Neelay Velingker, Rajeev Alur, Mayur Naik, Eric Wong

Counterfactual Fairness by Combining Factual and Counterfactual Predictions

#4203 · Zeyu Zhou, TIanci Liu, Ruqi Bai, Jing Gao, Murat Kocaoglu, David Inouye

Pre-training Differentially Private Models with Limited Public Data

#4204 · Zhiqi Bu, Xinwei Zhang, Sheng Zha, Mingyi Hong, George Karypis

When LLM Meets DRL: Advancing Jailbreaking Efficiency via DRL-guided Search

#4205 · Xuan Chen, Yuzhou Nie, Wenbo Guo, Xiangyu Zhang

Self-Calibrating Conformal Prediction

#4206 · Lars van der Laan, Ahmed Alaa

TabularBench: Benchmarking Adversarial Robustness for Tabular Deep Learning in Real-world Use-cases

#4207 · Thibault Simonetto, Salah GHAMIZI, Maxime Cordy

WildGuard: Open One-stop Moderation Tools for Safety Risks, Jailbreaks, and Refusals of LLMs

#4208 · Seungju Han, Kavel Rao, Allyson Ettinger, Liwei Jiang, Bill Yuchen Lin, Nathan Lambert, Nouha Dziri, Yejin Choi

PertEval: Unveiling Real Knowledge Capacity of LLMs with Knowledge-Invariant Perturbations

#4209 · Jiatong Li, Renjun Hu, Kunzhe Huang, Yan Zhuang, Qi Liu, Mengxiao Zhu, Xing Shi

SOI: Scaling Down Computational Complexity by Estimating Partial States of the Model

#4210 · Grzegorz Stefański, Paweł Daniluk, Artur Szumaczuk, Jakub Tkaczuk

Abstracted Shapes as Tokens - A Generalizable and Interpretable Model for Time-series Classification

#4211 · Yunshi Wen, Tengfei Ma, Lily Weng, Lam Nguyen, Anak Agung Julius

WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models

#4300 · Jinghan Jia, Jiancheng Liu, Yihua Zhang, Parikshit Ram, Nathalie Baracaldo, Sijia Liu

SampDetox: Black-box Backdoor Defense via Perturbation-based Sample Detoxification

#4301 · Yanxin Yang, Chentao Jia, DengKe Yan, Ming Hu, Tianlin Li, Xiaofei Xie, Xian Wei, Mingsong Chen

OSLO: One-Shot Label-Only Membership Inference Attacks

#4302 · Yuefeng Peng, Jaechul Roh, Subhransu Maji, Amir Houmansadr

PureGen: Universal Data Purification for Train-Time Poison Defense via Generative Model Dynamics

#4303 · Omead Pooladzandi, Sunay Bhat, Jeffrey Jiang, Alexander Branch, Gregory Pottie

UnSeg: One Universal Unlearnable Example Generator is Enough against All Image Segmentation

#4304 · Ye Sun, Hao Zhang, Tiehua Zhang, Xingjun Ma, Yu-Gang Jiang

Context-Aware Testing: A New Paradigm for Model Testing with Large Language Models

#4305 · Paulius Rauba, Nabeel Seedat, Max Ruiz Luyten, Mihaela van der Schaar

The Group Robustness is in the Details: Revisiting Finetuning under Spurious Correlations

#4306 · Tyler LaBonte, John Hill, Xinchen Zhang, Vidya Muthukumar, Abhishek Kumar

Representation Noising: A Defence Mechanism Against Harmful Finetuning

#4307 · Domenic Rosati, Jan Wehner, Kai Williams, Lukasz Bartoszcze, Robie Gonzales, carsten maple, Subhabrata Majumdar, Hassan Sajjad, Frank Rudzicz

Robust Prompt Optimization for Defending Language Models Against Jailbreaking Attacks

#4308 · Andy Zhou, Bo Li, Haohan Wang

Improving Adversarial Robust Fairness via Anti-Bias Soft Label Distillation

#4309 · Shiji Zhao, Ranjie Duan, xizhewang, Xingxing Wei

MaNo: Exploiting Matrix Norm for Unsupervised Accuracy Estimation Under Distribution Shifts

#4310 · RENCHUNZI XIE, Ambroise Odonnat, Vasilii Feofanov, Weijian Deng, Jianfeng Zhang, Bo An

Fight Back Against Jailbreaking via Prompt Adversarial Tuning

#4311 · Yichuan Mo, Yuji Wang, Zeming Wei, Yisen Wang

GREATS: Online Selection of High-Quality Data for LLM Training in Every Iteration

#4400 · Jiachen (Tianhao) Wang, Tong Wu, Dawn Song, Prateek Mittal, Ruoxi Jia

MAGNET: Improving the Multilingual Fairness of Language Models with Adaptive Gradient-Based Tokenization

#4401 · Orevaoghene Ahia, Sachin Kumar, Hila Gonen, Valentin Hofmann, Tomasz Limisiewicz, Yulia Tsvetkov, Noah Smith

Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving

#4402 · Xiaosong Jia, Zhenjie Yang, Qifeng Li, Zhiyuan Zhang, Junchi Yan

Language Without Borders: A Dataset and Benchmark for Code-Switching Lip Reading

#4403 · Xueyi Zhang, Xueyi Zhang, Mingrui Lao, Peng Zhao, Jun Tang, Yanming Guo, Siqi Cai, Xianghu Yue, Haizhou Li

Benchmarking Complex Instruction-Following with Multiple Constraints Composition

#4404 · Bosi Wen, Pei Ke, Xiaotao Gu, Lindong Wu, Hao Huang, Jinfeng Zhou, Wenchuang Li, Binxin Hu, Wendy Gao, Jiaxing Xu, Yiming Liu, Jie Tang, Hongning Wang, Minlie Huang

ConceptMix: A Compositional Image Generation Benchmark with Controllable Difficulty

#4405 · Xindi Wu, Dingli Yu, Yangsibo Huang, Olga Russakovsky, Sanjeev Arora

$\epsilon$-Softmax: Approximating One-Hot Vectors for Mitigating Label Noise

#4406 · Jialiang Wang, Xiong Zhou, Deming Zhai, Junjun Jiang, Xiangyang Ji, Xianming Liu

Unveiling the Bias Impact on Symmetric Moral Consistency of Large Language Models

#4407 · Ziyi Zhou, Xinwei Guo, Jiashi Gao, Xiangyu Zhao, Shiyao Zhang, Xin Yao, Xuetao Wei

Learning Human-like Representations to Enable Learning Human Values

#4409 · Andrea Wynn, Ilia Sucholutsky, Tom Griffiths

Stealth edits to large language models

#4410 · Oliver Sutton, Qinghua Zhou, Wei Wang, Desmond Higham, Alexander N Gorban, Alexander Bastounis, Ivan Tyukin

Enhancing Efficiency of Safe Reinforcement Learning via Sample Manipulation

#4411 · Shangding Gu, Laixi Shi, Yuhao Ding, Alois Knoll, Costas J Spanos, Adam Wierman, Ming Jin

Multiclass Transductive Online Learning

#4500 · Steve Hanneke, Vinod Raman, Amirreza Shaeiri, Unique Subedi

E2E-MFD: Towards End-to-End Synchronous Multimodal Fusion Detection

#4501 · Jiaqing Zhang, Mingxiang Cao, Weiying Xie, Jie Lei, Daixun Li, Wenbo Huang, Yunsong Li, Xue Yang

Active, anytime-valid risk controlling prediction sets

#4502 · Ziyu Xu, Nikos Karampatziakis, Paul Mineiro

SMART: Towards Pre-trained Missing-Aware Model for Patient Health Status Prediction

#4503 · Zhihao Yu, Chu Xu, Yujie Jin, Yasha Wang, Junfeng Zhao

SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion

#4504 · Han Lu, Xu-Yang Chen, Han-Jia Ye, De-Chuan Zhan

Learning Identifiable Factorized Causal Representations of Cellular Responses

#4505 · Haiyi Mao, Romain Lopez, Kai Liu, Jan-Christian Huetter, David Richmond, Panayiotis Benos, Lin Qiu

SELF-DISCOVER: Large Language Models Self-Compose Reasoning Structures

#4506 · Pei Zhou, Jay Pujara, Xiang Ren, Xinyun Chen, Heng-Tze Cheng, Quoc V Le, Ed Chi, Denny Zhou, Swaroop Mishra, Huaixiu (Steven) Zheng

Length Optimization in Conformal Prediction

#4507 · Shayan Kiyani, George J. Pappas, Hamed Hassani

Diffusion-DICE: In-Sample Diffusion Guidance for Offline Reinforcement Learning

#4508 · Liyuan Mao, Haoran Xu, Xianyuan Zhan, Weinan Zhang, Amy Zhang

Rethinking Out-of-Distribution Detection on Imbalanced Data Distribution

#4509 · Kai Liu, Zhihang Fu, Sheng Jin, Chao Chen, Ze Chen, Rongxin Jiang, Fan Zhou, Yaowu Chen, Jieping Ye

Elliptical Attention

#4510 · Stefan Nielsen, Laziz Abdullaev, Rachel S.Y. Teo, Tan Nguyen

Leveraging an ECG Beat Diffusion Model for Morphological Reconstruction from Indirect Signals

#4511 · Lisa Bedin, Gabriel Cardoso, Josselin Duchateau, Remi Dubois, Eric Moulines

Slight Corruption in Pre-training Data Makes Better Diffusion Models

#4600 · Hao Chen, Yujin Han, Diganta Misra, Xiang Li, Kai Hu, Difan Zou, Masashi Sugiyama, Jindong Wang, Bhiksha Raj

Beyond Euclidean: Dual-Space Representation Learning for Weakly Supervised Video Violence Detection

#4601 · Jiaxu Leng, Zhanjie Wu, Mingpi Tan, Yiran Liu, Ji Gan, Haosheng Chen, Xinbo Gao

Adapting to Unknown Low-Dimensional Structures in Score-Based Diffusion Models

#4602 · Gen Li, Yuling Yan

Provably Robust Score-Based Diffusion Posterior Sampling for Plug-and-Play Image Reconstruction

#4603 · Xingyu Xu, Yuejie Chi

RankRAG: Unifying Context Ranking with Retrieval-Augmented Generation in LLMs

#4604 · Yue Yu, Wei Ping, Zihan Liu, Boxin Wang, Jiaxuan You, Chao Zhang, Mohammad Shoeybi, Bryan Catanzaro

KnowGPT: Knowledge Graph based Prompting for Large Language Models

#4605 · Qinggang Zhang, Junnan Dong, Hao Chen, Daochen Zha, Zailiang Yu, Xiao Huang

L4GM: Large 4D Gaussian Reconstruction Model

#4606 · Jiawei Ren, Cheng Xie, Ashkan Mirzaei, hanxue liang, xiaohui zeng, Karsten Kreis, Ziwei Liu, Antonio Torralba, Sanja Fidler, Seung Wook Kim, Huan Ling

G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering

#4607 · Xiaoxin He, Yijun Tian, Yifei Sun, Nitesh Chawla, Thomas Laurent, Yann LeCun, Xavier Bresson, Bryan Hooi

Online Classification with Predictions

#4608 · Vinod Raman, Ambuj Tewari

Meta 3D AssetGen: Text-to-Mesh Generation with High-Quality Geometry, Texture, and PBR Materials

#4609 · Yawar Siddiqui, Tom Monnier, Filippos Kokkinos, Mahendra Kariya, Yanir Kleiman, Emilien Garreau, Oran Gafni, Natalia Neverova, Andrea Vedaldi, Roman Shapovalov, David Novotny

Approaching Human-Level Forecasting with Language Models

#4610 · Danny Halawi, Fred Zhang, Chen Yueh-Han, Jacob Steinhardt

DoFIT: Domain-aware Federated Instruction Tuning with Alleviated Catastrophic Forgetting

#4611 · Binqian Xu, Xiangbo Shu, Haiyang Mei, Zechen Bai, Basura Fernando, Mike Zheng Shou, Jinhui Tang

Embedding-Aligned Language Models

#4700 · Guy Tennenholtz, Yinlam Chow, Chih-wei Hsu, Lior Shani, Yi Liang, Craig Boutilier

Fine-Tuning is Fine, if Calibrated

#4701 · Zheda Mai, Arpita Chowdhury, Ping Zhang, Cheng-Hao Tu, Hong-You Chen, Vardaan Pahuja, Tanya Berger-Wolf, Song Gao, Charles Stewart, Yu Su, Wei-Lun (Harry) Chao

Tracing Hyperparameter Dependencies for Model Parsing via Learnable Graph Pooling Network

#4702 · Xiao Guo, Vishal Asnani, Sijia Liu, Xiaoming Liu

realSEUDO for real-time calcium imaging analysis

#4703 · Iuliia Dmitrieva, Sergey Babkin, Adam Charles

Towards Next-Generation Logic Synthesis: A Scalable Neural Circuit Generation Framework

#4704 · Zhihai Wang, Jie Wang, Qingyue Yang, Yinqi Bai, Xing Li, Lei Chen, Jianye Hao, Mingxuan Yuan, Bin Li, Yongdong Zhang, Feng Wu

Cell ontology guided transcriptome foundation model

#4705 · XINYU YUAN, Zhihao Zhan, Zuobai Zhang, Manqi Zhou, Jianan Zhao, Boyu Han, Yue Li, Jian Tang

InfLLM: Training-Free Long-Context Extrapolation for LLMs with an Efficient Context Memory

#4706 · Chaojun Xiao, Pengle Zhang, Xu Han, Guangxuan Xiao, Yankai Lin, Zhengyan Zhang, Zhiyuan Liu, Maosong Sun

Revisiting motion information for RGB-Event tracking with MOT philosophy

#4707 · Tianlu Zhang, Kurt Debattista, Qiang Zhang, guiguang ding, Jungong Han

Instruction-Guided Visual Masking

#4708 · Jinliang Zheng, Jianxiong Li, Sijie Cheng, Yinan Zheng, Jiaming Li, Jihao Liu, Yu Liu, Jingjing Liu, Xianyuan Zhan

OmniJARVIS: Unified Vision-Language-Action Tokenization Enables Open-World Instruction Following Agents

#4709 · Zihao Wang, Shaofei Cai, Zhancun Mu, Haowei Lin, Ceyao Zhang, Xuejie Liu, Qing Li, Anji Liu, Xiaojian (Shawn) Ma, Yitao Liang

EGSST: Event-based Graph Spatiotemporal Sensitive Transformer for Object Detection

#4710 · Sheng Wu, Hang Sheng, Hui Feng, Bo Hu

Learning Linear Causal Representations from General Environments: Identifiability and Intrinsic Ambiguity

#4711 · Jikai Jin, Vasilis Syrgkanis

On the Necessity of Collaboration for Online Model Selection with Decentralized Data

#4800 · Junfan Li, Zheshun Wu, Zenglin Xu, Irwin King

Parameter Symmetry and Noise Equilibrium of Stochastic Gradient Descent

#4801 · Liu Ziyin, Mingze Wang, Hongchao Li, Lei Wu

MoVA: Adapting Mixture of Vision Experts to Multimodal Context

#4802 · ZHUOFAN ZONG, Bingqi Ma, Dazhong Shen, Guanglu Song, Hao Shao, DONGZHI JIANG, Hongsheng Li, Yu Liu

DisCEdit: Model Editing by Identifying Discriminative Components

#4803 · Chaitanya Murti, Chiranjib Bhattacharyya

UPS: Unified Projection Sharing for Lightweight Single-Image Super-resolution and Beyond

#4804 · Kun Zhou, Xinyu Lin, Zhonghang LIU, Xiaoguang Han, Jiangbo Lu

Continual learning with the neural tangent ensemble

#4805 · Ari Benjamin, Christian-Gernot Pehle, Kyle Daruwalla

Scalable Constrained Policy Optimization for Safe Multi-agent Reinforcement Learning

#4806 · Lijun Zhang, Lin Li, Wei Wei, Huizhong Song, Yaodong Yang, Jiye Liang

On the Power of Decision Trees in Auto-Regressive Language Modeling

#4807 · Yulu Gan, Tomer Galanti, Tomaso Poggio, Eran Malach

Towards Neuron Attributions in Multi-Modal Large Language Models

#4808 · Junfeng Fang, Zac Bi, Ruipeng Wang, Houcheng Jiang, Yuan Gao, Kun Wang, An Zhang, Jie Shi, Xiang Wang, Tat-Seng Chua

Set-based Neural Network Encoding Without Weight Tying

#4809 · Bruno Andreis, Bedionita Soro, Philip Torr, Sung Ju Hwang

LLMs Can Evolve Continually on Modality for $\mathbb{X}$-Modal Reasoning

#4810 · Jiazuo Yu, Haomiao Xiong, Lu Zhang, Haiwen Diao, Yunzhi Zhuge, Lanqing Hong, Dong Wang, Huchuan Lu, You He, Long Chen

Going Beyond Heuristics by Imposing Policy Improvement as a Constraint

#4900 · Chi-Chang Lee, Zhang-Wei Hong, Pulkit Agrawal

Flaws can be Applause: Unleashing Potential of Segmenting Ambiguous Objects in SAM

#4901 · Chenxin Li, Yuzhihuang, WUYANG LI, Hengyu Liu, Xinyu Liu, Qing Xu, Zhen Chen, Yue Huang, Yixuan Yuan

$\text{ID}^3$: Identity-Preserving-yet-Diversified Diffusion Models for Synthetic Face Recognition

#4902 · Jianqing Xu, Shen Li, Jiaying Wu, Miao Xiong, Ailin Deng, Jiazhen Ji, Yuge Huang, Guodong Mu, Wenjie Feng, Shouhong Ding, Bryan Hooi

Approximated Orthogonal Projection Unit: Stabilizing Regression Network Training Using Natural Gradient

#4903 · Shaoqi Wang, Chunjie Yang, Siwei Lou

Towards the Dynamics of a DNN Learning Symbolic Interactions

#4904 · Qihan Ren, Junpeng Zhang, Yang Xu, Yue Xin, Dongrui Liu, Quanshi Zhang