Paperjam

#1006 · Yidong Wang, Qi Guo, Wenjin Yao, Hongbo Zhang, Xin Zhang, Zhen Wu, Meishan Zhang, Xinyu Dai, Min zhang, Qingsong Wen, Wei Ye, Shikun Zhang, Yue Zhang

MDAgents: An Adaptive Collaboration of LLMs for Medical Decision-Making

#1007 · Yubin Kim, Chanwoo Park, Hyewon Jeong, Yik Siu Chan, Xuhai "Orson" Xu, Daniel McDuff, Hyeonhoon Lee, Marzyeh Ghassemi, Cynthia Breazeal, Hae Park

Retrieval-Retro: Retrieval-based Inorganic Retrosynthesis with Expert Knowledge

#1008 · Heewoong Noh, Namkyeong Lee, Gyoung S. Na, Chanyoung Park

Scalable and Effective Arithmetic Tree Generation for Adder and Multiplier Designs

#1009 · Yao Lai, Jinxin Liu, David Z. Pan, Ping Luo

$\nabla^2$DFT: A Universal Quantum Chemistry Dataset of Drug-Like Molecules and a Benchmark for Neural Network Potentials

#1010 · Kuzma Khrabrov, Anton Ber, Artem Tsypin, Konstantin Ushenin, Egor Rumiantsev, Alexander Telepov, Dmitry Protasov, Ilya Shenbin, Anton Alekseev, Mikhail Shirokikh, Sergey Nikolenko, Elena Tutubalina, Artur Kadurin

Proving Olympiad Algebraic Inequalities without Human Demonstrations

#1011 · Chenrui Wei, Mengzhou Sun, Wei Wang

The Evolution of Statistical Induction Heads: In-Context Learning Markov Chains

#1100 · Ezra Edelman, Nikolaos Tsilivis, Benjamin Edelman, Eran Malach, Surbhi Goel

Delta-CoMe: Training-Free Delta-Compression with Mixed-Precision for Large Language Models

#1101 · Bowen Ping, Shuo Wang, Hanqing Wang, Xu Han, Yuzhuang Xu, Yukun Yan, Yun Chen, Baobao Chang, Zhiyuan Liu, Maosong Sun

Automated Multi-Task Learning for Joint Disease Prediction on Electronic Health Records

#1102 · Suhan Cui, Prasenjit Mitra

DMNet: Self-comparison Driven Model for Subject-independent Seizure Detection

#1103 · Shihao Tu, Linfeng Cao, Daoze Zhang, Junru Chen, Lvbin Ma, Yin Zhang, YANG YANG

NanoBaseLib: A Multi-Task Benchmark Dataset for Nanopore Sequencing

#1104 · Guangzhao Cheng, Chengbo Fu, Lu Cheng

A SARS-CoV-2 Interaction Dataset and VHH Sequence Corpus for Antibody Language Models

#1105 · Hirofumi Tsuruta, Hiroyuki Yamazaki, Ryota Maeda, Ryotaro Tamura, Akihiro Imura

Model Decides How to Tokenize: Adaptive DNA Sequence Tokenization with MxDNA

#1106 · Lifeng Qiao, Peng Ye, Yuchen Ren, Weiqiang Bai, Chaoqi Liang, Xinzhu Ma, Nanqing Dong, Wanli Ouyang

Transferable Boltzmann Generators

#1107 · Leon Klein, Frank Noe

Revisiting K-mer Profile for Effective and Scalable Genome Representation Learning

#1108 · Abdulkadir Celikkanat, Andres Masegosa, Thomas Nielsen

Mixture of neural fields for heterogeneous reconstruction in cryo-EM

#1109 · Axel Levy, Rishwanth Raghu, David Shustin, Adele Peng, Huan Li, Oliver Clarke, Gordon Wetzstein, Ellen Zhong

Protein-Nucleic Acid Complex Modeling with Frame Averaging Transformer

#1110 · Tinglin Huang, Zhenqiao Song, Rex Ying, Wengong Jin

CryoGEM: Physics-Informed Generative Cryo-Electron Microscopy

#1111 · Jiakai Zhang, Qihe Chen, Yan Zeng, Wenyuan Gao, Xuming He, Zhijie Liu, Jingyi Yu

EAGLE: Efficient Adaptive Geometry-based Learning in Cross-view Understanding

#1200 · Thanh-Dat Truong, Utsav Prabhu, Dongyi Wang, Bhiksha Raj, Susan Gauch, Jeyamkondan Subbiah, Khoa Luu

QUEEN: QUantized Efficient ENcoding for Streaming Free-viewpoint Videos

#1201 · Sharath Girish, Tianye Li, Amrita Mazumdar, Abhinav Shrivastava, david luebke, Shalini De Mello

Human-3Diffusion: Realistic Avatar Creation via Explicit 3D Consistent Diffusion Models

#1202 · Yuxuan Xue, Xianghui Xie, Riccardo Marin, Gerard Pons-Moll

VFIMamba: Video Frame Interpolation with State Space Models

#1203 · Guozhen Zhang, Chuxnu Liu, Yutao Cui, Xiaotong Zhao, Kai Ma, Limin Wang

ZOPP: A Framework of Zero-shot Offboard Panoptic Perception for Autonomous Driving

#1204 · Tao MA, Hongbin Zhou, Qiusheng Huang, Xuemeng Yang, Jianfei Guo, Bo Zhang, Min Dou, Yu Qiao, Botian Shi, Hongsheng Li

On Learning Multi-Modal Forgery Representation for Diffusion Generated Video Detection

#1205 · Xiufeng Song, Xiao Guo, Jiache Zhang, Qirui Li, LEI BAI, Xiaoming Liu, Guangtao Zhai, Xiaohong Liu

Improving the Learning Capability of Small-size Image Restoration Network by Deep Fourier Shifting

#1206 · man zhou

4D Gaussian Splatting in the Wild with Uncertainty-Aware Regularization

#1207 · Mijeong Kim, Jongwoo Lim, Bohyung Han

A General Protocol to Probe Large Vision Models for 3D Physical Understanding

#1208 · Guanqi Zhan, Chuanxia Zheng, Weidi Xie, Andrew Zisserman

Voxel Proposal Network via Multi-Frame Knowledge Distillation for Semantic Scene Completion

#1209 · Lubo Wang, Di Lin, Kairui Yang, Ruonan Liu, Qing Guo, Wuyuan Xie, Miaohui Wang, Lingyu Liang, Yi Wang, Ping Li

Human-level shape inferences: A benchmark for evaluating the 3D understanding of vision models

#1210 · tyler bonnen, Stephanie Fu, Yutong Bai, Thomas O'Connell, Yoni Friedman, Josh Tenenbaum, Alexei Efros

Contrastive losses as generalized models of global epistasis

#1211 · David Brookes, Jakub Otwinowski, Sam Sinai

Segment Any Change

#1300 · Zhuo Zheng, Yanfei Zhong, Liangpei Zhang, Stefano Ermon

A Siamese Transformer with Hierarchical Refinement for Lane Detection

#1301 · Zinan Lv, Dong Han, Wenzhe Wang, Danny Z Chen

Vision Foundation Model Enables Generalizable Object Pose Estimation

#1302 · Kai Chen, Yiyao Ma, Xingyu Lin, Stephen James, Jianshu Zhou, Yun-Hui Liu, Pieter Abbeel, DOU QI

DOGS: Distributed-Oriented Gaussian Splatting for Large-Scale 3D Reconstruction Via Gaussian Consensus

#1303 · Yu Chen, Gim Hee Lee

DiffuBox: Refining 3D Object Detection with Point Diffusion

#1304 · Xiangyu Chen, Zhenzhen Liu, Katie Luo, Siddhartha Datta, Adhitya Polavaram, Yan Wang, Yurong You, Boyi Li, Marco Pavone, Wei-Lun (Harry) Chao, Mark Campbell, Bharath Hariharan, Kilian Weinberger

Beyond Accuracy: Tracking more like Human via Visual Search

#1305 · Dailing Zhang, Shiyu Hu, Xiaokun Feng, Xuchen Li, wu meiqi, Jing Zhang, Kaiqi Huang

Breaking Semantic Artifacts for Generalized AI-generated Image Detection

#1306 · Chende Zheng, Chenhao Lin, Zhengyu Zhao, Hang Wang, Xu Guo, Shuai Liu, Chao Shen

RLE: A Unified Perspective of Data Augmentation for Cross-Spectral Re-Identification

#1307 · Lei Tan, Yukang Zhang, Keke Han, Pingyang Dai, Yan Zhang, Yongjian Wu, Rongrong Ji

UniSDF: Unifying Neural Representations for High-Fidelity 3D Reconstruction of Complex Scenes with Reflections

#1308 · Fangjinhua Wang, Marie-Julie Rakotosaona, Michael Niemeyer, Richard Szeliski, Marc Pollefeys, Federico Tombari

TFS-NeRF: Template-Free NeRF for Semantic 3D Reconstruction of Dynamic Scene

#1309 · Sandika Biswas, Qianyi Wu, Biplab Banerjee, Hamid Rezatofighi

Historical Test-time Prompt Tuning for Vision Foundation Models

#1310 · Jingyi Zhang, Jiaxing Huang, Xiaoqin Zhang, Ling Shao, Shijian Lu

FedGMKD: An Efficient Prototype Federated Learning Framework through Knowledge Distillation and Discrepancy-Aware Aggregation

#1311 · Jianqiao Zhang, Caifeng Shan, Jungong Han

E-Motion: Future Motion Simulation via Event Sequence Diffusion

#1400 · Song Wu, Zhiyu Zhu, Junhui Hou, GUANGMING Shi, Jinjian Wu

Referencing Where to Focus: Improving Visual Grounding with Referential Query

#1401 · Yabing Wang, Zhuotao Tian, Qingpei Guo, Zheng Qin, Sanping Zhou, Ming Yang, Le Wang

Masked Pre-training Enables Universal Zero-shot Denoiser

#1402 · Xiaoxiao Ma, Zhixiang Wei, Yi Jin, Pengyang Ling, Tianle Liu, Ben Wang, Junkang Dai, Huaian Chen

MGF: Mixed Gaussian Flow for Diverse Trajectory Prediction

#1403 · Jiahe Chen, Jinkun Cao, Dahua Lin, Kris Kitani, Jiangmiao Pang

ECMamba: Consolidating Selective State Space Model with Retinex Guidance for Efficient Multiple Exposure Correction

#1404 · Wei Dong, Han Zhou, Yulun Zhang, Xiaohong Liu, Jun Chen

Pedestrian-Centric 3D Pre-collision Pose and Shape Estimation from Dashcam Perspective

#1405 · MeiJun Wang, Yu Meng, Zhongwei Qiu, Chao Zheng, Yan Xu, Pengxiaorui, Jian Gao

DC-Gaussian: Improving 3D Gaussian Splatting for Reflective Dash Cam Videos

#1406 · Linhan Wang, Kai Cheng, Shuo Lei, Shengkun Wang, Wei Yin, Chenyang Lei, Xiaoxiao Long, Chang-Tien Lu

Generalizable Person Re-identification via Balancing Alignment and Uniformity

#1407 · Yoonki Cho, Jaeyoon Kim, Woo Jae Kim, Junsik Jung, Sung-eui Yoon

NeuRodin: A Two-stage Framework for High-Fidelity Neural Surface Reconstruction

#1408 · Yifan Wang, Di Huang, Weicai Ye, Guofeng Zhang, Wanli Ouyang, Tong He

DeepStack: Deeply Stacking Visual Tokens is Surprisingly Simple and Effective for LMMs

#1409 · Lingchen Meng, Jianwei Yang, Rui Tian, Xiyang Dai, Zuxuan Wu, Jianfeng Gao, Yu-Gang Jiang

Adaptive Important Region Selection with Reinforced Hierarchical Search for Dense Object Detection

#1410 · Dingrong Wang, Hitesh Sapkota, Qi Yu

Free Lunch in Pathology Foundation Model: Task-specific Model Adaptation with Concept-Guided Feature Enhancement

#1411 · Yanyan Huang, Weiqin Zhao, Yihang Chen, Yu Fu, Lequan Yu

Neural Signed Distance Function Inference through Splatting 3D Gaussians Pulled on Zero-Level Set

#1500 · Wenyuan Zhang, Yu-Shen Liu, Zhizhong Han

OneRef: Unified One-tower Expression Grounding and Segmentation with Mask Referring Modeling

#1501 · Linhui Xiao, Xiaoshan Yang, Fang Peng, Yaowei Wang, Changsheng Xu

TransAgent: Transfer Vision-Language Foundation Models with Heterogeneous Agent Collaboration

#1502 · Yiwei Guo, Shaobin Zhuang, Kunchang Li, Yu Qiao, Yali Wang

AlterMOMA: Fusion Redundancy Pruning for Camera-LiDAR Fusion Models with Alternative Modality Masking

#1503 · shiqi sun, Yantao Lu, Ning Liu, Bo Jiang, Jinchao Chen, Ying Zhang

GeoNLF: Geometry guided Pose-Free Neural LiDAR Fields

#1504 · Weiyi Xue, Zehan Zheng, Fan Lu, Haiyun Wei, Guang Chen, changjun jiang

Dynamic 3D Gaussian Fields for Urban Areas

#1505 · Tobias Fischer, Jonas Kulhanek, Samuel Rota Bulò, Lorenzo Porzi, Marc Pollefeys, Peter Kontschieder

$SE(3)$ Equivariant Ray Embeddings for Implicit Multi-View Depth Estimation

#1506 · Yinshuang Xu, Dian Chen, Katherine Liu, Sergey Zakharov, Rareș Ambruș, Kostas Daniilidis, Vitor Guizilini

Towards Flexible 3D Perception: Object-Centric Occupancy Completion Augments 3D Object Detection

#1507 · Chaoda Zheng, Feng Wang, Naiyan Wang, Shuguang Cui, Zhen Li

Overcoming Common Flaws in the Evaluation of Selective Classification Systems

#1508 · Jeremias Traub, Till Bungert, Carsten Lüth, Michael Baumgartner, Klaus Maier-Hein, Lena Maier-Hein, Paul Jaeger

Prototypical Hash Encoding for On-the-Fly Fine-Grained Category Discovery

#1509 · Haiyang Zheng, Nan Pu, Wenjing Li, Nicu Sebe, Zhun Zhong

Assembly Fuzzy Representation on Hypergraph for Open-Set 3D Object Retrieval

#1510 · Yang Xu, Yifan Feng, Jun Zhang, Jun-Hai Yong, Yue Gao

Slicing Vision Transformer for Flexibile Inference

#1511 · Yitian Zhang, n n, Xu Ma, Huan Wang, Ke Ma, Stephen Chen, Derek Hu, Yun Fu

UltraPixel: Advancing Ultra High-Resolution Image Synthesis to New Peaks

#1600 · Jingjing Ren, Wenbo Li, Haoyu Chen, Renjing Pei, Bin Shao, Yong Guo, Long Peng, Fenglong Song, Lei Zhu

Token Merging for Training-Free Semantic Binding in Text-to-Image Synthesis

#1601 · Taihang Hu, Linxuan Li, Joost van de Weijer, Hongcheng Gao, Fahad Shahbaz Khan, Jian Yang, Ming-Ming Cheng, KAI WANG, Yaxing Wang

FouRA: Fourier Low-Rank Adaptation

#1602 · Shubhankar Borse, Shreya Kadambi, Nilesh Pandey, Kartikeya Bhardwaj, Viswanath Ganapathy, Sweta Priyadarshi, Risheek Garrepalli, Rafael Esteves, Munawar Hayat, Fatih Porikli

Return of Unconditional Generation: A Self-supervised Representation Generation Method

#1603 · Tianhong Li, Dina Katabi, Kaiming He

ParallelEdits: Efficient Multi-Aspect Text-Driven Image Editing with Attention Grouping

#1604 · Mingzhen Huang, Jialing Cai, Shan Jia, Vishnu Lokhande, Siwei Lyu

FuseAnyPart: Diffusion-Driven Facial Parts Swapping via Multiple Reference Images

#1605 · zheng yu, Yaohua Wang, Siying Cui, Aixi Zhang, Wei-Long Zheng, Senzhang Wang

Who Evaluates the Evaluations? Objectively Scoring Text-to-Image Prompt Coherence Metrics with T2IScoreScore (TS2)

#1606 · Michael Saxon, Fatima Jahara, Mahsa Khoshnoodi, Yujie Lu, Aditya Sharma, William Yang Wang

Parameter Efficient Adaptation for Image Restoration with Heterogeneous Mixture-of-Experts

#1607 · Hang Guo, Tao Dai, Yuanchao Bai, Bin Chen, Xudong Ren, Zexuan Zhu, Shu-Tao Xia

Novel Object Synthesis via Adaptive Text-Image Harmony

#1608 · Zeren Xiong, Zedong Zhang, Zikun Chen, Shuo Chen, Xiang Li, Gan Sun, Jian Yang, Jun Li

Magnet: We Never Know How Text-to-Image Diffusion Models Work, Until We Learn How Vision-Language Models Function

#1609 · Chenyi Zhuang, Ying Hu, Pan Gao

AP-Adapter: Improving Generalization of Automatic Prompts on Unseen Text-to-Image Diffusion Models

#1610 · Yuchen Fu, Zhiwei Jiang, Yuliang Liu, Cong Wang, Zexuan Deng, Zhaoling Chen, Qing Gu

OneActor: Consistent Subject Generation via Cluster-Conditioned Guidance

#1611 · Jiahao Wang, Caixia Yan, Haonan Lin, Weizhan Zhang, Mengmeng Wang, Tieliang Gong, Guang Dai, Hao Sun

SA3DIP: Segment Any 3D Instance with Potential 3D Priors

#1700 · Xi Yang, Xu Gu, Xingyilang Yin, Xinbo Gao

MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning

#1701 · Bin-Bin Gao

Distribution Guidance Network for Weakly Supervised Point Cloud Semantic Segmentation

#1702 · Zhiyi Pan, Wei Gao, Shan Liu, Ge Li

Spherical Frustum Sparse Convolution Network for LiDAR Point Cloud Semantic Segmentation

#1703 · Yu Zheng, Guangming Wang, Jiuming Liu, Marc Pollefeys, Hesheng Wang

DiffCut: Catalyzing Zero-Shot Semantic Segmentation with Diffusion Features and Recursive Normalized Cut

#1704 · Paul Couairon, Mustafa Shukor, Jean-Emmanuel HAUGEARD, Matthieu Cord, Nicolas THOME

HDR-GS: Efficient High Dynamic Range Novel View Synthesis at 1000x Speed via Gaussian Splatting

#1705 · Yuanhao Cai, Zihao Xiao, Yixun Liang, Minghan Qin, Yulun Zhang, Xiaokang Yang, Yaoyao Liu, Alan Yuille

Structure Consistent Gaussian Splatting with Matching Prior for Few-shot Novel View Synthesis

#1706 · Rui Peng, Wangze Xu, Luyang Tang, levio leo, Jianbo Jiao, Ronggang Wang

Multi-scale Consistency for Robust 3D Registration via Hierarchical Sinkhorn Tree

#1707 · Chengwei Ren, Yifan Feng, Weixiang Zhang, Xiao-Ping (Steven) Zhang, Yue Gao

A Cat Is A Cat (Not A Dog!): Unraveling Information Mix-ups in Text-to-Image Encoders through Causal Analysis and Embedding Optimization

#1708 · Chieh-Yun Chen, Chiang Tseng, Li-Wu Tsao, Hong-Han Shuai

TPC: Test-time Procrustes Calibration for Diffusion-based Human Image Animation

#1709 · Sunjae Yoon, Gwanhyeong Koo, Younghwan Lee, Chang Yoo

LVD-2M: A Long-take Video Dataset with Temporally Dense Captions

#1710 · Tianwei Xiong, Yuqing Wang, Daquan Zhou, Zhijie Lin, Jiashi Feng, Xihui Liu

MTGS: A Novel Framework for Multi-Person Temporal Gaze Following and Social Gaze Prediction

#1711 · Anshul Gupta, Samy Tafasca, Arya Farkhondeh, Pierre Vuillecard, Jean-marc Odobez

Understanding Bias in Large-Scale Visual Datasets

#1800 · Boya Zeng, Yida Yin, Zhuang Liu

SmallToLarge (S2L): Scalable Data Selection for Fine-tuning Large Language Models by Summarizing Training Trajectories of Small Models

#1801 · Yu Yang, Siddhartha Mishra, Jeffrey Chiang, Baharan Mirzasoleiman

MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Models

#1802 · Zichun Yu, Spandan Das, Chenyan Xiong

Alignment at Pre-training! Towards Native Alignment for Arabic LLMs

#1803 · Juhao Liang, Zhenyang Cai, Jianqing Zhu, Huang Huang, Kewei Zong, Bang An, Mosen Alharthi, Juncai He, Lian Zhang, Haizhou Li, Benyou Wang, Jinchao Xu

Predicting Label Distribution from Ternary Labels

#1804 · Yunan Lu, Xiuyi Jia

Visual Data Diagnosis and Debiasing with Concept Graphs

#1805 · Rwiddhi Chakraborty, Yinong O Wang, Jialu Gao, Runkai Zheng, Cheng Zhang, Fernando D De la Torre

SAND: Smooth imputation of sparse and noisy functional data with Transformer networks

#1806 · Ju-Sheng Hong, Junwen Yao, Jonas Mueller, Jane-Ling Wang

MoTE: Reconciling Generalization with Specialization for Visual-Language to Video Knowledge Transfer

#1807 · Minghao Zhu, Zhengpu Wang, Mengxian Hu, Ronghao Dang, Xiao Lin, Xun Zhou, Chengju Liu, Qijun Chen

DINTR: Tracking via Diffusion-based Interpolation

#1808 · Pha Nguyen, Ngan Le, Jackson Cothren, Alper Yilmaz, Khoa Luu

CYCLO: Cyclic Graph Transformer Approach to Multi-Object Relationship Modeling in Aerial Videos

#1809 · Trong-Thuan Nguyen, Pha Nguyen, Xin Li, Jackson Cothren, Alper Yilmaz, Khoa Luu

ActFusion: a Unified Diffusion Model for Action Segmentation and Anticipation

#1810 · Dayoung Gong, Suha Kwak, Minsu Cho

Slot State Space Models

#1811 · Jindong Jiang, Fei Deng, Gautam Singh, Minseung Lee, Sungjin Ahn

UQE: A Query Engine for Unstructured Databases

#1900 · Hanjun Dai, Bethany Wang, Xingchen Wan, Bo Dai, Sherry Yang, Azade Nova, Pengcheng Yin, Mangpo Phothilimthana, Charles Sutton, Dale Schuurmans

Bayesian-guided Label Mapping for Visual Reprogramming

#1901 · Chengyi Cai, Zesheng Ye, Lei Feng, Jianzhong Qi, Feng Liu

You Only Cache Once: Decoder-Decoder Architectures for Language Models

#1902 · Yutao Sun, Li Dong, Yi Zhu, Shaohan Huang, Wenhui Wang, Shuming Ma, Quanlu Zhang, Jianyong Wang, Furu Wei

Why Go Full? Elevating Federated Learning Through Partial Network Updates

#1903 · Haolin Wang, Xuefeng Liu, Jianwei Niu, Wenkai Guo, Shaojie Tang

Visual Prompt Tuning in Null Space for Continual Learning

#1904 · Yue Lu, Shizhou Zhang, De Cheng, Yinghui Xing, Nannan Wang, PENG WANG, Yanning Zhang

Learning from Teaching Regularization: Generalizable Correlations Should be Easy to Imitate

#1905 · Can Jin, Tong Che, Hongwu Peng, Yiyuan Li, Dimitris Metaxas, Marco Pavone

Towards Understanding Evolving Patterns in Sequential Data

#1906 · QIUHAO Zeng, Long-Kai Huang, Qi CHEN, Charles Ling, Boyu Wang

MoEUT: Mixture-of-Experts Universal Transformers

#1907 · Róbert Csordás, Kazuki Irie, Jürgen Schmidhuber, Christopher Potts, Christopher D Manning

DARNet: Dual Attention Refinement Network with Spatiotemporal Construction for Auditory Attention Detection

#1908 · Sheng Yan, Cunhang Fan, Hongyu Zhang, Xiaoke Yang, Jianhua Tao, Zhao Lv

RGMDT: Return-Gap-Minimizing Decision Tree Extraction in Non-Euclidean Metric Space

#1909 · Jingdi Chen, Hanhan Zhou, Yongsheng Mei, Carlee Joe-Wong, Gina C. Adam, Nathaniel Bastian, Tian Lan

A Walsh Hadamard Derived Linear Vector Symbolic Architecture

#1910 · Mohammad Mahmudul Alam, Alexander Oberle, Edward Raff, Stella Biderman, Tim Oates, James Holt

TinyLUT: Tiny Look-Up Table for Efficient Image Restoration at the Edge

#1911 · Huanan LI, Juntao Guan, Lai Rui, Sijun Ma, Lin Gu, Noperson

LinNet: Linear Network for Efficient Point Cloud Representation Learning

#2000 · Hao Deng, Kunlei Jing, Shengmei Chen, Cheng Liu, Jiawei Ru, Bo Jiang, Lin Wang

Nuclear Norm Regularization for Deep Learning

#2001 · Christopher Scarvelis, Justin Solomon

When is an Embedding Model More Promising than Another?

#2002 · Maxime Darrin, Philippe Formont, Ismail Ayed, Jackie CK Cheung, Pablo Piantanida

Navigating Extremes: Dynamic Sparsity in Large Output Spaces

#2004 · Nasibullah Nasibullah, Erik Schultheis, Mike Lasby, Yani Ioannou, Rohit Babbar

Learning Group Actions on Latent Representations

#2005 · Yinzhu Jin, Aman Shrivastava, Tom Fletcher

Position Coupling: Improving Length Generalization of Arithmetic Transformers Using Task Structure

#2006 · Hanseul Cho, Jaeyoung Cha, Pranjal Awasthi, Srinadh Bhojanapalli, Anupam Gupta, Chulhee Yun

Towards Understanding Extrapolation: a Causal Lens

#2007 · Lingjing Kong, Guangyi Chen, Petar Stojanov, Haoxuan Li, Eric Xing, Kun Zhang

CosAE: Learnable Fourier Series for Image Restoration

#2008 · Sifei Liu, Shalini De Mello, Jan Kautz

Parallelizing Linear Transformers with the Delta Rule over Sequence Length

#2009 · Songlin Yang, Bailin Wang, Yu Zhang, Yikang Shen, Yoon Kim

FactorizePhys: Matrix Factorization for Multidimensional Attention in Remote Physiological Sensing

#2010 · Jitesh Joshi, Sos Agaian, Youngjun Cho

NoMAD-Attention: Efficient LLM Inference on CPUs Through Multiply-add-free Attention

#2011 · Tianyi Zhang, Jonah Yi, Bowen Yao, Zhaozhuo Xu, Anshumali Shrivastava

Road Network Representation Learning with the Third Law of Geography

#2100 · Haicang Zhou, Weiming Huang, Yile Chen, Tiantian He, Gao Cong, Yew Soon Ong

$C^2M^3$: Cycle-Consistent Multi-Model Merging

#2101 · Donato Crisostomi, Marco Fumero, Daniele Baieri, Florian Bernard, Emanuele Rodolà

Non-Euclidean Mixture Model for Social Network Embedding

#2102 · Roshni Iyer, Yewen Wang, Wei Wang, Yizhou Sun

The Mamba in the Llama: Distilling and Accelerating Hybrid Models

#2103 · Junxiong Wang, Daniele Paliotta, Avner May, Alexander Rush, Tri Dao

WeiPer: OOD Detection using Weight Perturbations of Class Projections

#2104 · Maximilian Granz, Manuel Heurich, Tim Landgraf

Stability and Generalization of Adversarial Training for Shallow Neural Networks with Smooth Activation

#2105 · Kaibo Zhang, Yunjuan Wang, Raman Arora

Towards Combating Frequency Simplicity-biased Learning for Domain Generalization

#2106 · Xilin He, Jingyu Hu, Qinliang Lin, Cheng Luo, Weicheng Xie, Siyang Song, Muhammad Haris Khan, Linlin Shen

TAIA: Large Language Models are Out-of-Distribution Data Learners

#2107 · Shuyang Jiang, Yusheng Liao, Ya Zhang, Yanfeng Wang, Yu Wang

MALT Powers Up Adversarial Attacks

#2108 · Odelia Melamed, Gilad Yehudai, Adi Shamir

Many-shot Jailbreaking

#2109 · Cem Anil, Esin DURMUS, Nina Panickssery, Mrinank Sharma, Joe Benton, Sandipan Kundu, Joshua Batson, Meg Tong, Jesse Mu, Daniel Ford, Francesco Mosconi, Rajashree Agrawal, Rylan Schaeffer, Naomi Bashkansky, Samuel Svenningsen, Mike Lambert, Ansh Radhakrishnan, Carson Denison, Evan Hubinger, Yuntao Bai, Trenton Bricken, Timothy Maxwell, Nicholas Schiefer, James Sully, Alex Tamkin, Tamera Lanham, Karina Nguyen, Tomek Korbak, Jared Kaplan, Deep Ganguli, Samuel Bowman, Ethan Perez, Roger Grosse, David Duvenaud

Understanding the Role of Equivariance in Self-supervised Learning

#2110 · Yifei Wang, Kaiwen Hu, Sharut Gupta, Ziyu Ye, Yisen Wang, Stefanie Jegelka

Self-Supervised Alignment with Mutual Information: Learning to Follow Principles without Preference Labels

#2111 · Jan-Philipp Fraenken, Eric Zelikman, Rafael Rafailov, Kanishk Gandhi, Tobias Gerstenberg, Noah Goodman

Are Multiple Instance Learning Algorithms Learnable for Instances?

#2200 · Jaeseok Jang, HYUK-YOON KWON

SGD vs GD: Rank Deficiency in Linear Networks

#2201 · Aditya Vardhan Varre, Margarita Sagitova, Nicolas Flammarion

Scalable Optimization in the Modular Norm

#2202 · Tim Large, Yang Liu, Jacob Huh, Hyojin Bahng, Phillip Isola, Jeremy Bernstein

Bayes-optimal learning of an extensive-width neural network from quadratically many samples

#2203 · Antoine Maillard, Emanuele Troiani, Simon Martin, Florent Krzakala, Lenka Zdeborová

Scaling Laws in Linear Regression: Compute, Parameters, and Data

#2204 · Licong Lin, Jingfeng Wu, Sham Kakade, Peter Bartlett, Jason Lee

Understanding Scaling Laws with Statistical and Approximation Theory for Transformer Neural Networks on Intrinsically Low-dimensional Data

#2205 · Alexander Havrilla, Wenjing Liao

Explicit Eigenvalue Regularization Improves Sharpness-Aware Minimization

#2206 · Haocheng Luo, Tuan Truong, Tung Pham, Mehrtash Harandi, Dinh Phung, Trung Le

A Comprehensive Analysis on the Learning Curve in Kernel Ridge Regression

#2207 · Tin Sum Cheng, Aurelien Lucchi, Anastasis Kratsios, David Belius

A distributional simplicity bias in the learning dynamics of transformers

#2208 · Riccardo Rende, Federica Gerace, Alessandro Laio, Sebastian Goldt

Improved Particle Approximation Error for Mean Field Neural Networks

#2209 · Atsushi Nitanda

Relating Hopfield Networks to Episodic Control

#2210 · Hugo Chateau-Laurent, Frederic Alexandre

Neural collapse vs. low-rank bias: Is deep neural collapse really optimal?

#2211 · Peter Súkeník, Christoph Lampert, Marco Mondelli

Theoretical Characterisation of the Gauss Newton Conditioning in Neural Networks

#2300 · Jim Zhao, Sidak Pal Singh, Aurelien Lucchi

Generalizablity of Memorization Neural Network

#2301 · Lijia Yu, Xiao-Shan Gao, Lijun Zhang, Yibo Miao

The Feature Speed Formula: a flexible approach to scale hyper-parameters of deep neural networks

#2302 · Lénaïc Chizat, Praneeth Netrapalli

G3: An Effective and Adaptive Framework for Worldwide Geolocalization Using Large Multi-Modality Models

#2303 · Pengyue Jia, Yiding Liu, Xiaopeng Li, Xiangyu Zhao, Yuhao Wang, Yantong Du, Xiao Han, Xuetao Wei, Shuaiqiang Wang, Dawei Yin

Exploiting Activation Sparsity with Dense to Dynamic-k Mixture-of-Experts Conversion

#2304 · Filip Szatkowski, Bartosz Wójcik, Mikołaj Piórczyński, Simone Scardapane

Exploring and Exploiting the Asymmetric Valley of Deep Neural Networks

#2305 · Xin-Chun Li, Jin-Lin Tang, Bo Zhang, Lan Li, De-Chuan Zhan

HORSE: Hierarchical Representation for Large-Scale Neural Subset Selection

#2306 · Binghui Xie, Yixuan Wang, Yongqiang Chen, Kaiwen Zhou, Yu Li, Wei Meng, James Cheng

Preference Alignment with Flow Matching

#2307 · Minu Kim, Yongsik Lee, Sehyeok Kang, Jihwan Oh, Song Chong, Se-Young Yun

Activation Map Compression through Tensor Decomposition for Deep Learning

#2308 · Le-Trung Nguyen, Aël Quélennec, Enzo Tartaglione, Samuel Tardieu, Van-Tam Nguyen

FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations

#2309 · Ziyao Wang, Zheyu Shen, Yexiao He, Guoheng Sun, Hongyi Wang, Lingjuan Lyu, Ang Li

Amortized Planning with Large-Scale Transformers: A Case Study on Chess

#2310 · Anian Ruoss, Grégoire Delétang, Sourabh Medapati, Jordi Grau-Moya, Kevin Li, Elliot Catt, John Reid, Cannada Lewis, Joel Veness, Tim Genewein

Why Do We Need Weight Decay in Modern Deep Learning?

#2311 · Francesco D'Angelo, Maksym Andriushchenko, Aditya Vardhan Varre, Nicolas Flammarion

Compositional 3D-aware Video Generation with LLM Director

#2400 · Hanxin Zhu, Tianyu He, Anni Tang, Junliang Guo, Zhibo Chen, Jiang Bian

MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention

#2401 · Huiqiang Jiang, Yucheng LI, Chengruidong Zhang, Qianhui Wu, Xufang Luo, Surin Ahn, Zhenhua Han, Amir Abdi, Dongsheng Li, Chin-Yew Lin, Yuqing Yang, Lili Qiu

Fine-grained Control of Generative Data Augmentation in IoT Sensing

#2402 · Tianshi Wang, Qikai Yang, Ruijie Wang, Dachun Sun, Jinyang Li, Yizhuo Chen, Yigong Hu, Chaoqi Yang, Tomoyoshi Kimura, Denizhan Kara, Tarek Abdelzaher

MetaLA: Unified Optimal Linear Approximation to Softmax Attention Map

#2403 · YUHONG CHOU, Man Yao, Kexin Wang, Yuqi Pan, Rui-Jie Zhu, Jibin Wu, Yiran Zhong, Yu Qiao, Bo Xu, Guoqi Li

Hamiltonian Score Matching and Generative Flows

#2404 · Peter Holderrieth, Yilun Xu, Tommi Jaakkola

MVGamba: Unify 3D Content Generation as State Space Sequence Modeling

#2405 · Xuanyu Yi, Zike Wu, Qiuhong Shen, Qingshan Xu, Pan Zhou, Joo-Hwee Lim, Shuicheng Yan, Xinchao Wang, Hanwang Zhang

Looks Too Good To Be True: An Information-Theoretic Analysis of Hallucinations in Generative Restoration Models

#2406 · Regev Cohen, Idan Kligvasser, Ehud Rivlin, Daniel Freedman

Provably Mitigating Overoptimization in RLHF: Your SFT Loss is Implicitly an Adversarial Regularizer

#2407 · Zhihan Liu, Miao Lu, Shenao Zhang, Boyi Liu, Hongyi Guo, Yingxiang Yang, Jose Blanchet, Zhaoran Wang

Flow Priors for Linear Inverse Problems via Iterative Corrupted Trajectory Matching

#2408 · Yasi Zhang, Peiyu Yu, Yaxuan Zhu, Yingshan CHANG, Feng Gao, Ying Nian Wu, Oscar Leong

FlowLLM: Flow Matching for Material Generation with Large Language Models as Base Distributions

#2409 · Anuroop Sriram, Benjamin K Miller, Ricky T. Q. Chen, Brandon Wood

Towards Diverse Device Heterogeneous Federated Learning via Task Arithmetic Knowledge Integration

#2410 · Mahdi Morafah, Vyacheslav Kungurtsev, Hojin Chang, Chen Chen, Bill Lin

Watermarking Makes Language Models Radioactive

#2411 · Tom Sander, Pierre Fernandez, Alain Durmus, Matthijs Douze, Teddy Furon

Enhancing Consistency-Based Image Generation via Adversarialy-Trained Classification and Energy-Based Discrimination

#2500 · Shelly Golan, Roy Ganz, Michael Elad

Stabilize the Latent Space for Image Autoregressive Modeling: A Unified Perspective

#2501 · Yongxin Zhu, Bocheng Li, Hang Zhang, Xin Li, Linli Xu, Lidong Bing

SelfCodeAlign: Self-Alignment for Code Generation

#2502 · Yuxiang Wei, Federico Cassano, Jiawei Liu, Yifeng Ding, Naman Jain, Zachary Mueller, Harm de Vries, Leandro Von Werra, Arjun Guha, LINGMING ZHANG

BitsFusion: 1.99 bits Weight Quantization of Diffusion Model

#2503 · Yang Sui, Yanyu Li, Anil Kag, Yerlan Idelbayev, Junli Cao, Ju Hu, Dhritiman Sagar, Bo Yuan, Sergey Tulyakov, Jian Ren

Schrodinger Bridge Flow for Unpaired Data Translation

#2504 · Valentin De Bortoli, Iryna Korshunova, Andriy Mnih, Arnaud Doucet

Rethinking Score Distillation as a Bridge Between Image Distributions

#2505 · David McAllister, Songwei Ge, Jia-Bin Huang, David Jacobs, Alexei Efros, Aleksander Holynski, Angjoo Kanazawa

Score-based generative models are provably robust: an uncertainty quantification perspective

#2506 · Nikiforos Mimikos-Stamatopoulos, Benjamin Zhang, Markos Katsoulakis

Provable Posterior Sampling with Denoising Oracles via Tilted Transport

#2507 · Joan Bruna, Jiequn Han

ReF-LDM: A Latent Diffusion Model for Reference-based Face Image Restoration

#2508 · Chi-Wei Hsiao, Yu-Lun Liu, Cheng-Kun Yang, Sheng-Po Kuo, Kevin Jou, Chia-Ping Chen

Suppress Content Shift: Better Diffusion Features via Off-the-Shelf Generation Techniques

#2509 · Benyuan Meng, Qianqian Xu, Zitai Wang, Zhiyong Yang, Xiaochun Cao, Qingming Huang

GrounDiT: Grounding Diffusion Transformers via Noisy Patch Transplantation

#2510 · Phillip Lee, Taehoon Yoon, Minhyuk Sung

SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout

#2511 · Max Jiang, Yijing Bai, Andre Cornman, Christopher Davis, XIUKUN HUANG, Hong Jeon, Sakshum Kulshrestha, John Lambert, Shuangyu Li, Xuanyu Zhou, Carlos Fuertes, Chang Yuan, Mingxing Tan, Yin Zhou, Dragomir Anguelov

Improved off-policy training of diffusion samplers

#2600 · Marcin Sendera, Minsu Kim, Sarthak Mittal, Pablo Lemos, Luca Scimeca, Jarrid Rector-Brooks, Alexandre Adam, Yoshua Bengio, Nikolay Malkin

SELMA: Learning and Merging Skill-Specific Text-to-Image Experts with Auto-Generated Data

#2601 · Jialu Li, Jaemin Cho, Yi-Lin Sung, Jaehong Yoon, Mohit Bansal

DiP-GO: A Diffusion Pruner via Few-step Gradient Optimization

#2602 · Haowei Zhu, Dehua Tang, Ji Liu, Mingjie Lu, Jintu Zheng, Jinzhang Peng, Dong Li, Yu Wang, Fan Jiang, Lu Tian, Spandan Tiwari, Ashish Sirasao, Jun-Hai Yong, Bin Wang, Emad Barsoum

BiDM: Pushing the Limit of Quantization for Diffusion Models

#2603 · Xingyu Zheng, Xianglong Liu, Yichen Bian, Xudong Ma, Yulun Zhang, Jiakai Wang, Jinyang Guo, Haotong Qin

Diffusion Models With Learned Adaptive Noise

#2604 · Subham Sahoo, Aaron Gokaslan, Christopher De Sa, Volodymyr Kuleshov

ODGEN: Domain-specific Object Detection Data Generation with Diffusion Models

#2605 · Jingyuan Zhu, Shiyu Li, Yuxuan (Andy) Liu, Jian Yuan, Ping Huang, Jiulong Shan, Huimin Ma

COSMIC: Compress Satellite Image Efficiently via Diffusion Compensation

#2606 · Ziyuan Zhang, Han Qiu, Maosen Zhang, Jun Liu, Bin Chen, Tianwei Zhang, Hewu Li

Lumina-Next : Making Lumina-T2X Stronger and Faster with Next-DiT

#2607 · Le Zhuo, Ruoyi Du, Han Xiao, Yangguang Li, Dongyang Liu, Rongjie Huang, Wenze Liu, Xiangyang Zhu, Fu-Yun Wang, Zhanyu Ma, Xu Luo, Zehan Wang, Kaipeng Zhang, Lirui Zhao, Si Liu, Xiangyu Yue, Wanli Ouyang, Yu Qiao, Hongsheng Li, Peng Gao

ProEdit: Simple Progression is All You Need for High-Quality 3D Scene Editing

#2608 · Junkun Chen, Yu-Xiong Wang

Image Copy Detection for Diffusion Models

#2609 · Wenhao Wang, Yifan Sun, Zhentao Tan, Yi Yang

Graph Diffusion Transformers for Multi-Conditional Molecular Generation

#2610 · Gang Liu, Jiaxin Xu, Tengfei Luo, Meng Jiang

StepbaQ: Stepping backward as Correction for Quantized Diffusion Models

#2611 · Yi-Chung Chen, Zhi-Kai Huang, Jing-Ren Chen

DETAIL: Task DEmonsTration Attribution for Interpretable In-context Learning

#2700 · Zijian Zhou, Xiaoqiang Lin, Xinyi Xu, Alok Prakash, Daniela Rus, Bryan Kian Hsiang Low

Many-Shot In-Context Learning

#2701 · Rishabh Agarwal, Avi Singh, Lei Zhang, Bernd Bohnet, Luis Rosias, Stephanie Chan, Biao Zhang, Ankesh Anand, Zaheer Abbas, Azade Nova, John Co-Reyes, Eric Chu, Feryal Behbahani, Aleksandra Faust, Hugo Larochelle

Rule Extrapolation in Language Modeling: A Study of Compositional Generalization on OOD Prompts

#2702 · Anna Mészáros, Szilvia Ujváry, Wieland Brendel, Patrik Reizinger, Ferenc Huszar

Estimating the Hallucination Rate of Generative AI

#2703 · Andrew Jesson, Nicolas Beltran Velez, Quentin Chu, Sweta Karlekar, Jannik Kossen, Yarin Gal, John Cunningham, David Blei

Transformers as Game Players: Provable In-context Game-playing Capabilities of Pre-trained Models

#2704 · Chengshuai Shi, Kun Yang, Jing Yang, Cong Shen

Maia-2: A Unified Model for Human-AI Alignment in Chess

#2706 · Zhenwei Tang, Difan Jiao, Reid McIlroy-Young, Jon Kleinberg, Siddhartha Sen, Ashton Anderson

LAM3D: Large Image-Point Clouds Alignment Model for 3D Reconstruction from Single Image

#2707 · Ruikai Cui, Xibin Song, Weixuan Sun, Senbo Wang, Weizhe Liu, Shenzhou Chen, Taizhang Shang, YANG LI, Nick Barnes, Hongdong Li, Pan Ji

One-Shot Safety Alignment for Large Language Models via Optimal Dualization

#2708 · Xinmeng Huang, Shuo Li, Edgar Dobriban, Osbert Bastani, Hamed Hassani, Dongsheng Ding

Trace is the Next AutoDiff: Generative Optimization with Rich Feedback, Execution Traces, and LLMs

#2709 · Ching-An Cheng, Allen Nie, Adith Swaminathan

Mars: Situated Inductive Reasoning in an Open-World Environment

#2710 · Xiaojuan Tang, Jiaqi Li, Yitao Liang, Song-Chun Zhu, Muhan Zhang, Zilong Zheng

Measuring Multimodal Mathematical Reasoning with MATH-Vision Dataset

#2711 · Ke Wang, Junting Pan, Weikang Shi, Zimu Lu, Houxing Ren, Aojun Zhou, Mingjie Zhan, Hongsheng Li

A Topology-aware Graph Coarsening Framework for Continual Graph Learning

#2800 · Xiaoxue Han, Zhuo Feng, Yue Ning

FUG: Feature-Universal Graph Contrastive Pre-training for Graphs with Diverse Node Features

#2801 · Jitao Zhao, Di Jin, Meng Ge, Lianze Shan, Xin Wang, Dongxiao He, Zhiyong Feng

Towards Principled Graph Transformers

#2802 · Luis Müller, Daniel Kusuma, Blai Bonet, Christopher Morris

Dynamic Rescaling for Training GNNs

#2803 · Nimrah Mustafa, Rebekka Burkholz

TEG-DB: A Comprehensive Dataset and Benchmark of Textual-Edge Graphs

#2804 · Zhuofeng Li, Zixing Gou, Xiangnan Zhang, Zhongyuan Liu, Sirui Li, Yuntong Hu, Chen LING, Zheng Zhang, Liang Zhao

JiuZhang3.0: Efficiently Improving Mathematical Reasoning by Training Small Data Synthesis Models

#2805 · Kun Zhou, Beichen Zhang, jiapeng wang, Zhipeng Chen, Xin Zhao, Jing Sha, Zhichao Sheng, Shijin Wang, Ji-Rong Wen

Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision

#2806 · Zhiqing Sun, Longhui Yu, Yikang Shen, Weiyang Liu, Yiming Yang, Sean Welleck, Chuang Gan

Enhancing Reasoning Capabilities of LLMs via Principled Synthetic Logic Corpus

#2807 · Terufumi Morishita, Gaku Morio, Atsuki Yamaguchi, Yasuhiro Sogawa

Does Reasoning Emerge? Examining the Probabilities of Causation in Large Language Models

#2808 · Javier Gonzalez, Aditya Nori

EAI: Emotional Decision-Making of LLMs in Strategic Games and Ethical Dilemmas

#2809 · Mikhail Mozikov, Nikita Severin, Valeria Bodishtianu, Maria Glushanina, Ivan Nasonov, Daniil Orekhov, Pekhotin Vladislav, Ivan Makovetskiy, Mikhail Baklashkin, Vasily Lavrentyev, Akim Tsvigun, Denis Turdakov, Tatiana Shavrina, Andrey Savchenko, Ilya Makarov

Connecting the Dots: LLMs can Infer and Verbalize Latent Structure from Disparate Training Data

#2810 · Johannes Treutlein, Dami Choi, Jan Betley, Samuel Marks, Cem Anil, Roger Grosse, Owain Evans

Chain-of-Thought Reasoning Without Prompting

#2811 · Xuezhi Wang, Denny Zhou

Similarity-Navigated Conformal Prediction for Graph Neural Networks

#2900 · Jianqing Song, Jianguo Huang, Wenyu Jiang, Baoming Zhang, Shuangjie Li, Chongjun Wang

Unified Graph Augmentations for Generalized Contrastive Learning on Graphs

#2901 · Jiaming Zhuo, Yintong Lu, Hui Ning, Kun Fu, bingxin niu, Dongxiao He, Chuan Wang, Yuanfang Guo, Zhen Wang, Xiaochun Cao, Liang Yang

UGC: Universal Graph Coarsening

#2902 · Mohit Kataria, Sandeep Kumar, Jayadeva Dr

What Matters in Graph Class Incremental Learning? An Information Preservation Perspective

#2903 · Jialu Li, Yu Wang, Pengfei Zhu, Wanyu Lin, Qinghua Hu

Graph Edit Distance with General Costs Using Neural Set Divergence

#2904 · Eeshaan Jain, Indradyumna Roy, Saswat Meher, Soumen Chakrabarti, Abir De

A Taxonomy of Challenges to Curating Fair Datasets

#2905 · Dora Zhao, Morgan Scheuerman, Pooja Chitre, Jerone Andrews, Georgia Panagiotidou, Shawn Walker, Kathleen Pine, Alice Xiang

MambaTalk: Efficient Holistic Gesture Synthesis with Selective State Space Models

#2906 · Zunnan Xu, Yukang Lin, Haonan Han, Sicheng Yang, Ronghui Li, Yachao Zhang, Xiu Li

Harmonizing Stochasticity and Determinism: Scene-responsive Diverse Human Motion Prediction

#2907 · Zhenyu Lou, Qiongjie Cui, Tuo Wang, Zhenbo Song, Luoming Zhang, Cheng Cheng, Haofan Wang, Xu Tang, Huaxia Li, Hong Zhou

Shared Autonomy with IDA: Interventional Diffusion Assistance

#2908 · Brandon McMahan, Zhenghao (Mark) Peng, Bolei Zhou, Jonathan Kao

Towards Explainable Evaluation Metrics for Machine Translation

#2909 · Christoph Leiter, Piyawat Lertvittayakumjorn, Marina Fomicheva, Wei Zhao, Yang Gao, Steffen Eger

Benchmarking the Attribution Quality of Vision Models

#2910 · Robin Hesse, Simone Schaub-Meyer, Stefan Roth

Truth is Universal: Robust Detection of Lies in LLMs

#2911 · Lennart Bürger, Fred Hamprecht, Boaz Nadler

Measuring Goal-Directedness

#3000 · Matt MacDermott, James Fox, Francesco Belardinelli, Tom Everitt

Stochastic Concept Bottleneck Models

#3001 · Moritz Vandenhirtz, Sonia Laguna, Ričards Marcinkevičs, Julia Vogt

Multilinear Mixture of Experts: Scalable Expert Specialization through Factorization

#3003 · James Oldfield, Markos Georgopoulos, Grigorios Chrysos, Christos Tzelepis, Yannis Panagakis, Mihalis Nicolaou, Jiankang Deng, Ioannis Patras

Zipper: Addressing Degeneracy in Algorithm-Agnostic Inference

#3004 · Geng Chen, Yinxu Jia, Guanghui Wang, Changliang Zou

FastSurvival: Hidden Computational Blessings in Training Cox Proportional Hazards Models

#3005 · Jiachang Liu, Rui Zhang, Cynthia Rudin

Interpretable Mesomorphic Networks for Tabular Data

#3006 · Arlind Kadra, Sebastian Pineda Arango, Josif Grabocka

Abrupt Learning in Transformers: A Case Study on Matrix Completion

#3007 · Pulkit Gopalani, Ekdeep S Lubana, Wei Hu

Improving Decision Sparsity

#3008 · Yiyang Sun, Tong Wang, Cynthia Rudin

Beyond the Doors of Perception: Vision Transformers Represent Relations Between Objects

#3009 · Michael Lepori, Alexa Tartaglini, Wai Keen Vong, Thomas Serre, Brenden Lake, Ellie Pavlick

Identifying Functionally Important Features with End-to-End Sparse Dictionary Learning

#3010 · Dan Braun, Jordan Taylor, Nicholas Goldowsky-Dill, Lee Sharkey

Interpreting CLIP with Sparse Linear Concept Embeddings (SpLiCE)

#3011 · Usha Bhalla, Alex Oesterling, Suraj Srinivas, Flavio Calmon, Himabindu Lakkaraju

Optimal ablation for interpretability

#3100 · Maximilian Li, Lucas Janson

Rule Based Rewards for Language Model Safety

#3101 · Tong Mu, Alec Helyar, Johannes Heidecke, Joshua Achiam, Andrea Vallone, Ian Kivlichan, Molly Lin, Alex Beutel, John Schulman, Lilian Weng

A Full-duplex Speech Dialogue Scheme Based On Large Language Model

#3102 · Peng Wang, Songshuo Lu, Yaohua Tang, Sijie Yan, Wei Xia, Yuanjun Xiong

OneBit: Towards Extremely Low-bit Large Language Models

#3103 · Yuzhuang Xu, Xu Han, Zonghan Yang, Shuo Wang, Qingfu Zhu, Zhiyuan Liu, Weidong Liu, Wanxiang Che

DeTeCtive: Detecting AI-generated Text via Multi-Level Contrastive Learning

#3104 · Xun Guo, Yongxin He, Shan Zhang, Ting Zhang, Wanquan Feng, Haibin Huang, Chongyang Ma

Fractal Patterns May Illuminate the Success of Next-Token Prediction

#3105 · Ibrahim Alabdulmohsin, Vinh Tran, Mostafa Dehghani

Aligner: Efficient Alignment by Learning to Correct

#3106 · Jiaming Ji, Boyuan Chen, Hantao Lou, Donghai Hong, Borong Zhang, Xuehai Pan, Tianyi (Alex) Qiu, Juntao Dai, Yaodong Yang

Multi-LLM Debate: Framework, Principals, and Interventions

#3107 · Andrew Estornell, Yang Liu

Quantifying and Optimizing Global Faithfulness in Persona-driven Role-playing

#3108 · Letian Peng, Jingbo Shang

xRAG: Extreme Context Compression for Retrieval-augmented Generation with One Token

#3109 · Xin Cheng, Xun Wang, Xingxing Zhang, Tao Ge, Si-Qing Chen, Furu Wei, Huishuai Zhang, Dongyan Zhao

MetaAligner: Towards Generalizable Multi-Objective Alignment of Language Models

#3110 · Kailai Yang, Zhiwei Liu, Qianqian Xie, Jimin Huang, Tianlin Zhang, Sophia Ananiadou

Weak-to-Strong Search: Align Large Language Models via Searching over Small Language Models

#3111 · Zhanhui Zhou, Zhixuan Liu, Jie Liu, Zhichen Dong, Chao Yang, Yu Qiao

Dynamic Tuning Towards Parameter and Inference Efficiency for ViT Adaptation

#3200 · Wangbo Zhao, Jiasheng Tang, Yizeng Han, Yibing Song, Kai Wang, Gao Huang, Fan Wang, Yang You

A Pairwise Pseudo-likelihood Approach for Matrix Completion with Informative Missingness

#3201 · Jiangyuan Li, Jiayi Wang, Raymond K. W. Wong, Kwun Chuen Gary Chan

Persistent Homology for High-dimensional Data Based on Spectral Methods

#3202 · Sebastian Damrich, Philipp Berens, Dmitry Kobak

Approximating the Top Eigenvector in Random Order Streams

#3203 · Praneeth Kacham, David Woodruff

Aligner-Encoders: Self-Attention Transformers Can Be Self-Transducers

#3204 · Adam Stooke, Rohit Prabhavalkar, Khe Sim, Pedro Moreno Mengibar

TransVIP: Speech to Speech Translation System with Voice and Isochrony Preservation

#3205 · Chenyang Le, Yao Qian, Dongmei Wang, Long Zhou, Shujie LIU, Xiaofei Wang, Midia Yousefi, Yanmin Qian, Jinyu Li, Michael Zeng

SD-Eval: A Benchmark Dataset for Spoken Dialogue Understanding Beyond Words

#3206 · Junyi AO, Yuancheng Wang, Xiaohai Tian, Dekun Chen, Jun Zhang, Lu Lu, Yuxuan Wang, Haizhou Li, Zhizheng Wu

Co-occurrence is not Factual Association in Language Models

#3207 · Xiao Zhang, Miao Li, Ji Wu

I Don't Know: Explicit Modeling of Uncertainty with an [IDK] Token

#3208 · Roi Cohen, Konstantin Dobler, Eden Biran, Gerard de Melo

Reflective Multi-Agent Collaboration based on Large Language Models

#3209 · Xiaohe Bo, Zeyu Zhang, Quanyu Dai, Xueyang Feng, Lei Wang, Rui Li, Xu Chen, Ji-Rong Wen

Kangaroo: Lossless Self-Speculative Decoding for Accelerating LLMs via Double Early Exiting

#3210 · Fangcheng Liu, Yehui Tang, Zhenhua Liu, Yunsheng Ni, Duyu Tang, Kai Han, Yunhe Wang

Mitigating Reward Overoptimization via Lightweight Uncertainty Estimation

#3211 · Xiaoying Zhang, Jean-Francois Ton, Wei Shen, Hongning Wang, Yang Liu

Dissect Black Box: Interpreting for Rule-Based Explanations in Unsupervised Anomaly Detection

#3300 · Yu Zhang, Ruoyu Li, Nengwu Wu, Qing Li, Xinhan Lin, Yang Hu, Tao Li, Yong Jiang

A Kernel Perspective on Distillation-based Collaborative Learning

#3301 · Sejun Park, Kihun Hong, Ganguk Hwang

Statistical and Geometrical properties of the Kernel Kullback-Leibler divergence

#3302 · Anna Korba, Francis Bach, Clémentine CHAZAL

Metric Space Magnitude for Evaluating the Diversity of Latent Representations

#3303 · Katharina Limbeck, Rayna Andreeva, Rik Sarkar, Bastian Rieck

Identifiable Shared Component Analysis of Unpaired Multimodal Mixtures

#3304 · Subash Timilsina, Sagar Shrestha, Xiao Fu

Large Language Models Must Be Taught to Know What They Don’t Know

#3305 · Sanyam Kapoor, Nate Gruver, Manley Roberts, Katie Collins, Arka Pal, Umang Bhatt, Adrian Weller, Samuel Dooley, Micah Goldblum, Andrew Wilson

Understanding Linear Probing then Fine-tuning Language Models from NTK Perspective

#3306 · Akiyoshi Tomihari, Issei Sato

One-shot Federated Learning via Synthetic Distiller-Distillate Communication

#3307 · Junyuan Zhang, Songhua Liu, Xinchao Wang

Understanding the Transferability of Representations via Task-Relatedness

#3308 · Akshay Mehra, Yunbei Zhang, Jihun Hamm

QuanTA: Efficient High-Rank Fine-Tuning of LLMs with Quantum-Informed Tensor Adaptation

#3309 · Zhuo Chen, Rumen Dangovski, Charlotte Loh, Owen Dugan, Di Luo, Marin Soljacic

Scaling laws for learning with real and surrogate data

#3310 · Ayush Jain, Andrea Montanari, Eren Sasoglu

Unsupervised Anomaly Detection in The Presence of Missing Values

#3311 · Feng Xiao, Jicong Fan

CuMo: Scaling Multimodal LLM with Co-Upcycled Mixture-of-Experts

#3400 · Jiachen Li, Xinyao Wang, Sijie Zhu, Chia-Wen Kuo, Lu XU, Fan Chen, Jitesh Jain, Humphrey Shi, Longyin Wen

SpatialPIN: Enhancing Spatial Reasoning Capabilities of Vision-Language Models through Prompting and Interacting 3D Priors

#3402 · Chenyang Ma, Kai Lu, Ta-Ying Cheng, Niki Trigoni, Andrew Markham

Extending Multi-modal Contrastive Representations

#3403 · Ziang Zhang, Zehan Wang, Luping Liu, Rongjie Huang, Xize Cheng, Zhenhui Ye, wang lin, Huadai Liu, Haifeng Huang, Yang Zhao, Tao Jin, Siqi Zheng, Zhou Zhao

Text2CAD: Generating Sequential CAD Designs from Beginner-to-Expert Level Text Prompts

#3404 · Mohammad Sadil Khan, Sankalp Sinha, Talha Uddin, Didier Stricker, Sk Aziz Ali, Muhammad Zeshan Afzal

What to Say and When to Say it: Live Fitness Coaching as a Testbed for Situated Interaction

#3405 · Sunny Panchal, Apratim Bhattacharyya, Guillaume Berger, Antoine Mercier, Cornelius Böhm, Florian Dietrichkeit, Reza Pourreza, Xuanlin Li, Pulkit Madan, Mingu Lee, Mark Todorovich, Ingo Bax, Roland Memisevic

Needle In A Multimodal Haystack

#3406 · Weiyun Wang, Shuibo Zhang, Yiming Ren, Yuchen Duan, Tiantong Li, Shuo Liu, Mengkang Hu, Zhe Chen, Kaipeng Zhang, Lewei Lu, Xizhou Zhu, Ping Luo, Yu Qiao, Jifeng Dai, Wenqi Shao, Wenhai Wang

Revisiting Few-Shot Object Detection with Vision-Language Models

#3407 · Anish Madan, Neehar Peri, Shu Kong, Deva Ramanan

Enhancing Semi-Supervised Learning via Representative and Diverse Sample Selection

#3408 · Qian Shao, Jiangrui Kang, Qiyuan Chen, Zepeng Li, Hongxia Xu, Yiwen Cao, JIAJUAN LIANG, Jian Wu

Geometric Analysis of Nonlinear Manifold Clustering

#3409 · Nimita Shinde, Tianjiao Ding, Daniel Robinson, Rene Vidal

Capturing the denoising effect of PCA via compression ratio

#3410 · Chandra Sekhar Mukherjee, Nikhil Deorkar, Jiapeng Zhang

Localizing Memorization in SSL Vision Encoders

#3411 · Wenhao Wang, Adam Dziedzic, Michael Backes, Franziska Boenisch

Uni-Med: A Unified Medical Generalist Foundation Model For Multi-Task Learning Via Connector-MoE

#3500 · Xun Zhu, Ying Hu, Fanbin Mo, Miao Li, Ji Wu

Homology Consistency Constrained Efficient Tuning for Vision-Language Models

#3501 · Huatian Zhang, Lei Zhang, Yongdong Zhang, Zhendong Mao

Learning Spatially-Aware Language and Audio Embeddings

#3502 · Bhavika Devnani, Skyler Seto, Zakaria Aldeneh, Alessandro Toso, Elena Menyaylenko, Barry-John Theobald, Jonathan Sheaffer, Miguel Sarabia

AV-Cloud: Spatial Audio Rendering Through Audio-Visual Cloud Splatting

#3503 · Mingfei Chen, Eli Shlizerman

Brain Treebank: Large-scale intracranial recordings from naturalistic language stimuli

#3504 · Christopher Wang, Adam Yaari, Aaditya Singh, Vighnesh Subramaniam, Dana Rosenfarb, Jan DeWitt, Pranav Misra, Joseph Madsen, Scellig Stone, Gabriel Kreiman, Boris Katz, Ignacio Cases, Andrei Barbu

ActSort: An active-learning accelerated cell sorting algorithm for large-scale calcium imaging datasets

#3505 · Yiqi Jiang, Hakki Akengin, Ji Zhou, Mehmet Aslihak, Yang Li, Radoslaw Chrapkiewicz, Oscar Hernandez, sadegh ebrahimi, Omar Jaidar, Yanping Zhang, Hakan Inan, Christopher Miranda, Fatih Dinc, Marta Pozo, Mark Schnitzer

Disentangling the Roles of Distinct Cell Classes with Cell-Type Dynamical Systems

#3506 · Aditi Jha, Diksha Gupta, Carlos Brody, Jonathan Pillow

Spiking Neural Network as Adaptive Event Stream Slicer

#3507 · Jiahang Cao, Mingyuan Sun, Ziqing Wang, Hao Cheng, Qiang Zhang, shibo zhou, Renjing Xu

Pretraining with Random Noise for Fast and Robust Learning without Weight Transport

#3508 · Jeonghwan Cheon, Sang Wan Lee, Se-Bum Paik

EEG2Video: Towards Decoding Dynamic Visual Perception from EEG Signals

#3509 · Xuan-Hao Liu, Yan-Kai Liu, Yansen Wang, Kan Ren, Hanwen Shi, Zilong Wang, Dongsheng Li, Bao-Liang Lu, Wei-Long Zheng

Not so griddy: Internal representations of RNNs path integrating more than one agent

#3510 · William Redman, Francisco Acosta, Santiago Acosta-Mendoza, Nina Miolane

Divide-and-Conquer Predictive Coding: a structured Bayesian inference algorithm

#3511 · Eli Sennesh, Hao Wu, Tommaso Salvatori

Neural Pfaffians: Solving Many Many-Electron Schrödinger Equations

#3600 · Nicholas Gao, Stephan Günnemann

What is my quantum computer good for? Quantum capability learning with physics-aware neural networks

#3601 · Daniel Hothem, Ashe Miller, Timothy Proctor

Advection Augmented Convolutional Neural Networks

#3602 · Niloufar Zakariaei, Siddharth Rout, Eldad Haber, Moshe Eliasof

Latent Neural Operator for Solving Forward and Inverse PDE Problems

#3603 · Tian Wang, Chuang Wang

RandNet-Parareal: a time-parallel PDE solver using Random Neural Networks

#3604 · Guglielmo Gattiglio, Lyudmila Grigoryeva, Massimiliano Tamborrino

Decoupling Semantic Similarity from Spatial Alignment for Neural Networks.

#3605 · Tassilo Wald, Constantin Ulrich, Priyank Jaini, Gregor Koehler, David Zimmerer, Stefan Denner, Fabian Isensee, Michael Baumgartner, Klaus Maier-Hein

NeuroBOLT: Resting-state EEG-to-fMRI Synthesis with Multi-dimensional Feature Mapping

#3606 · Yamin Li, Ange Lou, Ziyuan Xu, Shengchao Zhang, Shiyu Wang, Dario Englot, Soheil Kolouri, Daniel Moyer, Roza Bayrak, Catie Chang

Geodesic Optimization for Predictive Shift Adaptation on EEG data

#3607 · Apolline Mellot, Antoine Collas, Sylvain Chevallier, Alex Gramfort, Denis Engemann

Shaping the distribution of neural responses with interneurons in a recurrent circuit model

#3608 · David Lipshutz, Eero Simoncelli

Discovering plasticity rules that organize and maintain neural circuits

#3609 · David Bell, Alison Duffy, Adrienne Fairhall

Stochastic Optimal Control and Estimation with Multiplicative and Internal Noise

#3610 · Francesco Damiani, Akiyuki Anzai, Jan Drugowitsch, Gregory DeAngelis, Ruben Moreno Bote

Time Makes Space: Emergence of Place Fields in Networks Encoding Temporally Continuous Sensory Experiences

#3611 · Zhaoze Wang, Ronald Di Tullio, Spencer Rooke, Vijay Balasubramanian

NeuralFluid: Nueral Fluidic System Design and Control with Differentiable Simulation

#3700 · Yifei Li, Yuchen Sun, Pingchuan Ma, Eftychios Sifakis, Tao Du, Bo Zhu, Wojciech Matusik

Toward Dynamic Non-Line-of-Sight Imaging with Mamba Enforced Temporal Consistency

#3701 · Yue Li, Yi Sun, Shida Sun, Juntian Ye, Yueyi Zhang, Feihu Xu, Zhiwei Xiong

Dual-frame Fluid Motion Estimation with Test-time Optimization and Zero-divergence Loss

#3702 · Yifei Zhang, Huan-ang Gao, zhou jiang, Hao Zhao

Physics-Informed Regularization for Domain-Agnostic Dynamical System Modeling

#3703 · Zijie Huang, Wanjia Zhao, Jingdong Gao, Ziniu Hu, Xiao Luo, Yadi Cao, Yuanzhou Chen, Yizhou Sun, Wei Wang

Neural P$^3$M: A Long-Range Interaction Modeling Enhancer for Geometric GNNs

#3704 · Yusong Wang, Chaoran Cheng, Shaoning Li, Yuxuan Ren, Bin Shao, Ge Liu, Pheng-Ann Heng, Nanning Zheng

Learning 3D Garment Animation from Trajectories of A Piece of Cloth

#3705 · YIDI SHAO, Chen Change Loy, Bo Dai

Generalization of Hamiltonian algorithms

#3706 · Andreas Maurer

On Divergence Measures for Training GFlowNets

#3707 · Tiago Silva, Eliezer de Souza da Silva, Diego Mesquita

A Fast Convoluted Story: Scaling Probabilistic Inference for Integer Arithmetics

#3708 · Lennert De Smet, Pedro Zuidberg Dos Martires

Learning to be Smooth: An End-to-End Differentiable Particle Smoother

#3709 · Ali Younis, Erik Sudderth

A Generative Model of Symmetry Transformations

#3710 · James Allingham, Bruno Mlodozeniec, Shreyas Padhy, Javier Antorán, David Krueger, Richard Turner, Eric Nalisnick, José Miguel Hernández-Lobato

Deep Learning for Computing Convergence Rates of Markov Chains

#3711 · Yanlin Qu, Jose Blanchet, Peter W Glynn

Functional Gradient Flows for Constrained Sampling

#3800 · Shiyue Zhang, Longlin Yu, Ziheng Cheng, Cheng Zhang

A Compositional Atlas for Algebraic Circuits

#3801 · Benjie Wang, Denis Mauá, Guy Van den Broeck, YooJung Choi

Scaling Continuous Latent Variable Models as Probabilistic Integral Circuits

#3802 · Gennaro Gala, Cassio de Campos, Antonio Vergari, Erik Quaeghebeur

A Separation in Heavy-Tailed Sampling: Gaussian vs. Stable Oracles for Proximal Samplers

#3803 · Ye He, Alireza Mousavi-Hosseini, Krishnakumar Balasubramanian, Murat Erdogdu

Scalable Bayesian Optimization via Focalized Sparse Gaussian Processes

#3804 · Yunyue Wei, Vincent Zhuang, Saraswati Soedarmadji, Yanan Sui

Numerically Stable Sparse Gaussian Processes via Minimum Separation using Cover Trees

#3805 · Alexander Terenin, David Burt, Artem Artemev, Seth Flaxman, Mark van der Wilk, Carl Edward Rasmussen, Hong Ge

Quasi-Bayes meets Vines

#3806 · David Huk, Yuanhe Zhang, Ritabrata Dutta, Mark Steel

General bounds on the quality of Bayesian coresets

#3807 · Trevor Campbell

Sketched Lanczos uncertainty score: a low-memory summary of the Fisher information

#3808 · Marco Miani, Lorenzo Beretta, Søren Hauberg

On the Expressive Power of Tree-Structured Probabilistic Circuits

#3810 · Lang Yin, Han Zhao

An Information Theoretic Perspective on Conformal Prediction

#3811 · Alvaro Correia, Fabio Valerio Massoli, Christos Louizos, Arash Behboodi

EigenVI: score-based variational inference with orthogonal function expansions

#3900 · Diana Cai, Chirag Modi, Charles Margossian, Robert Gower, David Blei, Lawrence Saul

Diffusion Policy Attacker: Crafting Adversarial Attacks for Diffusion-based Policies

#3901 · Yipu Chen, Haotian Xue, Yongxin Chen

Motion Forecasting in Continuous Driving

#3902 · Nan Song, Bozhou Zhang, Xiatian Zhu, Li Zhang

VidMan: Exploiting Implicit Dynamics from Video Diffusion Model for Effective Robot Manipulation

#3904 · Youpeng Wen, Junfan Lin, Yi Zhu, Jianhua Han, Hang Xu, Shen Zhao, Xiaodan Liang

DeMo: Decoupling Motion Forecasting into Directional Intentions and Dynamic States

#3905 · Bozhou Zhang, Nan Song, Li Zhang

FactorSim: Generative Simulation via Factorized Representation

#3906 · Fan-Yun Sun, Harini S I, Angela Yi, Yihan Zhou, Alex Zook, Jonathan Tremblay, Logan Cross, Jiajun Wu, Nick Haber

CulturePark: Boosting Cross-cultural Understanding in Large Language Models

#3907 · Cheng Li, Damien Teney, Linyi Yang, Qingsong Wen, Xing Xie, Jindong Wang

An engine not a camera: Measuring performative power of online search

#3908 · Celestine Mendler-Dünner, Gabriele Carovano, Moritz Hardt

The Elephant in the Room: Towards A Reliable Time-Series Anomaly Detection Benchmark

#3909 · Qinghua Liu, John Paparrizos

Time-MMD: A New Multi-Domain Multimodal Dataset for Time Series Analysis

#3910 · Haoxin Liu, Shangqing Xu, Zhiyuan Zhao, Lingkai Kong, Harshavardhan Prabhakar Kamarthi, Aditya Sasanur, Megha Sharma, Jiaming Cui, Qingsong Wen, Chao Zhang, B. Aditya Prakash

Are Language Models Actually Useful for Time Series Forecasting?

#3911 · Mingtian Tan, Mike Merrill, Vinayak Gupta, Tim Althoff, Tom Hartvigsen

Distributionally Robust Performative Prediction

#4000 · Songkai Xue, Yuekai Sun

Membership Inference on Text-to-Image Diffusion Models via Conditional Likelihood Discrepancy

#4001 · Shengfang ZHAI, Huanran Chen, Yinpeng Dong, Jiajun Li, Qingni Shen, Yansong Gao, Hang Su, Yang Liu

Jailbreaking Large Language Models Against Moderation Guardrails via Cipher Characters

#4002 · Haibo Jin, Andy Zhou, Joe Menke, Haohan Wang

Optimal Classification under Performative Distribution Shift

#4003 · Edwige Cyffers, Muni Sreenivas Pydi, Jamal Atif, Olivier Cappé

Revisiting Adversarial Patches for Designing Camera-Agnostic Attacks against Person Detection

#4004 · Hui Wei, Zhixiang Wang, Kewei Zhang, Jiaqi Hou, Yuanwei Liu, Hao Tang, Zheng Wang

A Unified Debiasing Approach for Vision-Language Models across Modalities and Tasks

#4005 · Hoin Jung, Taeuk Jang, Xiaoqian Wang

CURE4Rec: A Benchmark for Recommendation Unlearning with Deeper Influence

#4006 · Chaochao Chen, Jiaming Zhang, Yizhao Zhang, Li Zhang, Lingjuan Lyu, Yuyuan Li, Biao Gong, Chenggang Yan

T2VSafetyBench: Evaluating the Safety of Text-to-Video Generative Models

#4007 · Yibo Miao, Yifan Zhu, Yinpeng Dong, Lijia Yu, Jun Zhu, Xiao-Shan Gao

FilterNet: Harnessing Frequency Filters for Time Series Forecasting

#4008 · Kun Yi, Jingru Fei, Qi Zhang, Hui He, Shufeng Hao, Defu Lian, Wei Fan

Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective

#4009 · Jiaxi Hu, Yuehong HU, Wei Chen, Ming Jin, Shirui Pan, Qingsong Wen, Yuxuan Liang

Structured Matrix Basis for Multivariate Time Series Forecasting with Interpretable Dynamics

#4010 · Xiaodan Chen, Xiucheng Li, Xinyang Chen, Zhijun Li

CycleNet: Enhancing Time Series Forecasting through Modeling Periodic Patterns

#4011 · Shengsheng Lin, Weiwei Lin, Xinyi Hu, Wentai Wu, Ruichao Mo, Haocheng Zhong

Federated Transformer: Multi-Party Vertical Federated Learning on Practical Fuzzily Linked Data

#4100 · Zhaomin Wu, Junyi Hou, Yiqun Diao, Bingsheng He

Improving Alignment and Robustness with Circuit Breakers

#4101 · Andy Zou, Long Phan, Justin Wang, Derek Duenas, Maxwell Lin, Maksym Andriushchenko, J. Zico Kolter, Matt Fredrikson, Dan Hendrycks

Perplexity-aware Correction for Robust Alignment with Noisy Preferences

#4102 · Keyi Kong, Xilie Xu, Di Wang, Jingfeng ZHANG, Mohan Kankanhalli

Lisa: Lazy Safety Alignment for Large Language Models against Harmful Fine-tuning Attack

#4103 · Tiansheng Huang, Sihao Hu, Fatih Ilhan, Selim Tekin, Ling Liu

Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning

#4104 · Frederik Hoppe, Claudio Mayrink Verdun, Hannah Laus, Felix Krahmer, Holger Rauhut

Direct Unlearning Optimization for Robust and Safe Text-to-Image Models

#4105 · Yong-Hyun Park, Sangdoo Yun, Jin-Hwa Kim, Junho Kim, Geonhui Jang, Yonghyun Jeong, Junghyo Jo, Gayoung Lee

AgentPoison: Red-teaming LLM Agents via Poisoning Memory or Knowledge Bases

#4106 · Zhaorun Chen, Zhen Xiang, Chaowei Xiao, Dawn Song, Bo Li

Curvature Clues: Decoding Deep Learning Privacy with Input Loss Curvature

#4107 · Deepak Ravikumar, Efstathia Soufleri, Kaushik Roy

Self-Healing Machine Learning: A Framework for Autonomous Adaptation in Real-World Environments

#4108 · Paulius Rauba, Nabeel Seedat, Krzysztof Kacprzyk, Mihaela van der Schaar

Soft-Label Integration for Robust Toxicity Classification

#4109 · Zelei Cheng, Xian Wu, Jiahao Yu, Shuo Han, Xin-Qiang Cai, Xinyu Xing

Robust Conformal Prediction Using Privileged Information

#4110 · Shai Feldman, Yaniv Romano

WildTeaming at Scale: From In-the-Wild Jailbreaks to (Adversarially) Safer Language Models

#4111 · Liwei Jiang, Kavel Rao, Seungju Han, Allyson Ettinger, Faeze Brahman, Sachin Kumar, Niloofar Mireshghallah, Ximing Lu, Maarten Sap, Yejin Choi, Nouha Dziri

CALVIN: Improved Contextual Video Captioning via Instruction Tuning

#4200 · Gowthami Somepalli, Arkabandhu Chowdhury, Jonas Geiping, Ronen Basri, Tom Goldstein, David Jacobs

LCGen: Mining in Low-Certainty Generation for View-consistent Text-to-3D

#4201 · Zeng Tao, Tong Yang, Junxiong Lin, Xinji Mai, Haoran Wang, Beining Wang, Enyu Zhou, Yan Wang, Wenqiang Zhang

A Near-optimal Algorithm for Learning Margin Halfspaces with Massart Noise

#4202 · Ilias Diakonikolas, Nikos Zarifis

Generative Retrieval Meets Multi-Graded Relevance

#4204 · Yubao Tang, Ruqing Zhang, Jiafeng Guo, Maarten Rijke, Wei Chen, Xueqi Cheng

Reliable Learning of Halfspaces under Gaussian Marginals

#4205 · Ilias Diakonikolas, Lisheng Ren, Nikos Zarifis

JourneyBench: A Challenging One-Stop Vision-Language Understanding Benchmark of Generated Images

#4206 · Zhecan Wang, Junzhang Liu, Chia-Wei Tang, Hani Alomari, Anushka Sivakumar, Rui Sun, Wenhao Li, Md. Atabuzzaman, Hammad Ayyubi, Haoxuan You, Alvi Md Ishmam, Kai-Wei Chang, Shih-Fu Chang, Christopher Thomas

MedJourney: Benchmark and Evaluation of Large Language Models over Patient Clinical Journey

#4207 · Xian Wu, Yutian Zhao, Yunyan Zhang, Jiageng Wu, Zhihong Zhu, Yingying Zhang, Yi Ouyang, Ziheng Zhang, Huimin WANG, zhenxi Lin, Jie Yang, Shuang Zhao, Yefeng Zheng

MOTI$\mathcal{V}\mathcal{E}$: A Drug-Target Interaction Graph For Inductive Link Prediction

#4208 · John Arevalo, Ellen Su, Anne Carpenter, Shantanu Singh

Scalable Early Childhood Reading Performance Prediction

#4209 · Zhongkai Shangguan, Zanming Huang, Eshed Ohn-Bar, Ola Ozernov-Palchik, Derek Kosty, Michael Stoolmiller, Hank Fien

FreqBlender: Enhancing DeepFake Detection by Blending Frequency Knowledge

#4211 · hanzhe li, Jiaran Zhou, Yuezun Li, Baoyuan Wu, Bin Li, Junyu Dong

GVKF: Gaussian Voxel Kernel Functions for Highly Efficient Surface Reconstruction in Open Scenes

#4300 · Gaochao Song, Chong Cheng, Hao Wang

Real-time Stereo-based 3D Object Detection for Streaming Perception

#4301 · Changcai Li, Zonghua Gu, Gang Chen, Libo Huang, Wei Zhang, Huihui Zhou

Unravelling in Collaborative Learning

#4302 · Aymeric Capitaine, Etienne Boursier, Antoine Scheid, Eric Moulines, Michael Jordan, El-Mahdi El-Mhamdi, Alain Durmus

Multi-Object Hallucination in Vision Language Models

#4303 · Xuweiyi Chen, Ziqiao Ma, Xuejun Zhang, Sihan Xu, Shengyi Qian, Jianing Yang, David Fouhey, Joyce Chai

Smoothed Online Classification can be Harder than Batch Classification

#4305 · Vinod Raman, Unique Subedi, Ambuj Tewari

Reinforcement Learning with Euclidean Data Augmentation for State-Based Continuous Control

#4306 · Jinzhu Luo, Dingyang Chen, Qi Zhang

Towards Stable Representations for Protein Interface Prediction

#4307 · Ziqi Gao, Zijing Liu, Yu Li, Jia Li

Iteratively Refined Behavior Regularization for Offline Reinforcement Learning

#4308 · Yi Ma, Jianye Hao, Xiaohan Hu, YAN ZHENG, Chenjun Xiao

Gradient-Variation Online Learning under Generalized Smoothness

#4309 · Yan-Feng Xie, Peng Zhao, Zhi-Hua Zhou

Robust Fine-tuning of Zero-shot Models via Variance Reduction

#4310 · Beier Zhu, Jiequan Cui, Hanwang Zhang

Aligning Diffusion Behaviors with Q-functions for Efficient Continuous Control

#4311 · Huayu Chen, Kaiwen Zheng, Hang Su, Jun Zhu

MAmmoTH2: Scaling Instructions from the Web

#4404 · Xiang Yue, Tianyu Zheng, Ge Zhang, Wenhu Chen

Trading off Consistency and Dimensionality of Convex Surrogates for Multiclass Classification

#4405 · Enrique Nueve, Dhamma Kimpara, Bo Waggoner, Jessica Finocchiaro

An Accelerated Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness

#4406 · Xiaochuan Gong, Jie Hao, Mingrui Liu

Attention Temperature Matters in ViT-Based Cross-Domain Few-Shot Learning

#4407 · Yixiong Zou, Ran Ma, Yuhua Li, Ruixuan Li

Localize, Understand, Collaborate: Semantic-Aware Dragging via Intention Reasoner

#4408 · Xing Cui, Peipei Li, Zekun Li, Xuannan Liu, Yueying Zou, Zhaofeng He

EGODE: An Event-attended Graph ODE Framework for Modeling Rigid Dynamics

#4409 · Jingyang Yuan, Gongbo Sun, Zhiping Xiao, Hang Zhou, Xiao Luo, Junyu Luo, Yusheng Zhao, Wei Ju, Ming Zhang

AnyFit: Controllable Virtual Try-on for Any Combination of Attire Across Any Scenario

#4410 · Yuhan Li, Hao Zhou, Wenxiang Shang, Ran Lin, Xuanhong Chen, Bingbing Ni

UNIT: Unifying Image and Text Recognition in One Vision Encoder

#4411 · Yi Zhu, Zhou Yanpeng, Chunwei Wang, Yang Cao, Jianhua Han, Lu Hou, Hang Xu