NeurIPS 2024

4,493 papers

Provable Tempered Overfitting of Minimal Nets and Typical Nets

Itamar Harel, William M. Hoza, Gal Vardi, Itay Evron, Nathan Srebro

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

Wei Dong, Han Zhou, Yulun Zhang, Xiaohong Liu, Jun Chen

MACM: Utilizing a Multi-Agent System for Condition Mining in Solving Complex Mathematical Problems

Bin Lei, Yi Zhang, Shan Zuo, Ali Payani, Caiwen Ding

Learning via Surrogate PAC-Bayes

Antoine Picard-Weibel, Roman Moscoviz, Benjamin Guedj

Uncertainty-aware Fine-tuning of Segmentation Foundation Models

Kangning Liu, Brian Price, Jason Kuen, Yifei Fan, Zijun Wei

LRM-Zero: Training Large Reconstruction Models with Synthesized Data

Desai Xie, Sai Bi, Zhixin Shu, Kai Zhang, Zexiang Xu

Euclidean distance compression via deep random features

Brett Leroux, Luis Rademacher

Color-Oriented Redundancy Reduction in Dataset Distillation

Bowen Yuan, Zijian Wang, Mahsa Baktashmotlagh, Yadan Luo, Zi Huang

WelQrate: Defining the Gold Standard in Small Molecule Drug Discovery Benchmarking

Yunchao (Lance) Liu, Ha Dong, Xin Wang, Rocco Moretti, Yu Wang

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

Pengyue Jia, Yiding Liu, Xiaopeng Li, Yuhao Wang, Yantong Du

HourVideo: 1-Hour Video-Language Understanding

Keshigeyan Chandrasegaran, Agrim Gupta, Lea M. Hadzic, Taran Kota, Jimming He

Understanding Emergent Abilities of Language Models from the Loss Perspective

Zhengxiao Du, Aohan Zeng, Yuxiao Dong, Jie Tang

Doing Experiments and Revising Rules with Natural Language and Probabilistic Reasoning

Wasu Top Piriyakulkij, Cassidy Langenfeld, Tuan Anh Le, Kevin Ellis

ERBench: An Entity-Relationship based Automatically Verifiable Hallucination Benchmark for Large Language Models

Jio Oh, Soyeon Kim, Junseok Seo, Jindong Wang, Ruochen Xu

Multilinear Mixture of Experts: Scalable Expert Specialization through Factorization

James Oldfield, Markos Georgopoulos, Grigorios G. Chrysos, Christos Tzelepis, Yannis Panagakis

Guiding a Diffusion Model with a Bad Version of Itself

Tero Karras, Miika Aittala, Tuomas Kynkäänniemi, Jaakko Lehtinen, Timo Aila

Alias-Free Mamba Neural Operator

Jianwei Zheng, Wei Li, Ni Xu, Junwei Zhu, Xiaoxu Lin

FineStyle: Fine-grained Controllable Style Personalization for Text-to-image Models

Gong Zhang, Kihyuk Sohn, Meera Hahn, Humphrey Shi, Irfan Essa

Graph Convolutions Enrich the Self-Attention in Transformers!

Jeongwhan Choi, Hyowon Wi, Jayoung Kim, Yehjin Shin, Kookjin Lee

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

Sirui Xu, Ziyin Wang, Yu-Xiong Wang, Liangyan Gui, Liang-Yan Gui

Fast Iterative Hard Thresholding Methods with Pruning Gradient Computations

Yasutoshi Ida, Sekitoshi Kanai, Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara

Adversarially Trained Weighted Actor-Critic for Safe Offline Reinforcement Learning

Honghao Wei, Xiyue Peng, Arnob Ghosh, Xin Liu

Belief-State Query Policies for User-Aligned POMDPs

Daniel Bramblett, Siddharth Srivastava

A Theory of Optimistically Universal Online Learnability for General Concept Classes

Steve Hanneke, Hongao Wang

Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing

Ye Tian, Baolin Peng, Linfeng Song, Lifeng Jin, Dian Yu

Empowering and Assessing the Utility of Large Language Models in Crop Science

Hang Zhang, Jiawei Sun, Renqi Chen, Wei Liu, Zhonghang Yuan

Overfitting Behaviour of Gaussian Kernel Ridgeless Regression: Varying Bandwidth or Dimensionality

Marko Medvedev, Gal Vardi, Nathan Srebro

Frequency-aware Generative Models for Multivariate Time Series Imputation

Xinyu Yang, Yu Sun, Xiaojie Yuan, Xinyang Chen

Density-based User Representation using Gaussian Process Regression for Multi-interest Personalized Retrieval

Haolun Wu, Ofer Meshi, Masrour Zoghi, Fernando Diaz, Xue Liu

Unveiling Encoder-Free Vision-Language Models

Haiwen Diao, Yufeng Cui, Xiaotong Li, Yueze Wang, Huchuan Lu

Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning

Sriyash Poddar, Yanming Wan, Hamish Ivison, Abhishek Gupta, Natasha Jaques

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

Huiqiang Jiang, Yucheng Li, Chengruidong Zhang, Qianhui Wu, Xufang Luo

Improving Adaptivity via Over-Parameterization in Sequence Models

Yicheng Li, Qian Lin

Predictive Attractor Models

Ramy Mounir, Sudeep Sarkar

REBEL: Reinforcement Learning via Regressing Relative Rewards

Zhaolin Gao, Jonathan D. Chang, Wenhao Zhan, Owen Oertell, Gokul Swamy

AdvAD: Exploring Non-Parametric Diffusion for Imperceptible Adversarial Attacks

Jin Li, Ziqiang He, Anwei Luo, Jian-Fang Hu, Z. Jane Wang

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

Jiaqing Zhang, Mingxiang Cao, Weiying Xie, Jie Lei, Daixun Li

DeiSAM: Segment Anything with Deictic Prompting

Hikaru Shindo, Manuel Brack, Gopika Sudhakaran, Devendra Singh Dhami, Patrick Schramowski

AudioMarkBench: Benchmarking Robustness of Audio Watermarking

Hongbin Liu, Moyang Guo, Zhengyuan Jiang, Lun Wang, Neil Zhenqiang Gong

Separate and Reconstruct: Asymmetric Encoder-Decoder for Speech Separation

Ui-Hyeop Shin, Sangyoun Lee, Taehan Kim, Hyung-Min Park

Outlier-Robust Distributionally Robust Optimization via Unbalanced Optimal Transport

Zifan Wang, Yi Shen, Michael M. Zavlanos, Karl H. Johansson

Generalization Bounds via Conditional f-Information

Ziqiao Wang, Yongyi Mao

Pandora's Box: Towards Building Universal Attackers against Real-World Large Vision-Language Models

Daizong Liu, Mingyu Yang, Xiaoye Qu, Pan Zhou, Xiang Fang

Equivariant spatio-hemispherical networks for diffusion MRI deconvolution

Axel Elaldi, Guido Gerig, Neel Dey

OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments

Tianbao Xie, Danyang Zhang, Jixuan Chen, Xiaochuan Li, Siheng Zhao

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

Zhitong Gao, Bingnan Li, Mathieu Salzmann, Xuming He

U-DiTs: Downsample Tokens in U-Shaped Diffusion Transformers

Yuchuan Tian, Zhijun Tu, Hanting Chen, Jie Hu, Chao Xu

MAGIS: LLM-Based Multi-Agent Framework for GitHub Issue Resolution

Wei Tao, Yucheng Zhou, Yanlin Wang, Wenqiang Zhang, Hongyu Zhang

Online Non-convex Learning in Dynamic Environments

Zhipan Xu, Lijun Zhang

Vision Mamba Mender

Jiacong Hu, Anda Cao, Zunlei Feng, Shengxuming Zhang, Yi Wang

The Many Faces of Optimal Weak-to-Strong Learning

Mikael Møller Høgsgaard, Kasper Green Larsen, Markus Engelund Mathiasen

Rejection via Learning Density Ratios

Alexander Soen, Hisham Husain, Philip Schulz, Vu Nguyen

Stealth edits to large language models

Oliver J. Sutton, Qinghua Zhou, Wei Wang, Desmond J. Higham, Alexander N. Gorban

Stochastic Concept Bottleneck Models

Moritz Vandenhirtz, Sonia Laguna, Ričards Marcinkevičs, Julia E. Vogt

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

Junlei Zhou, Jiashi Gao, Xiangyu Zhao, Xin Yao, Xuetao Wei

Why are Visually-Grounded Language Models Bad at Image Classification?

Yuhui Zhang, Alyssa Unell, Xiaohan Wang, Dhruba Ghosh, Yuchang Su

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

Yufei Guo, Weihang Peng, Xiaode Liu, Yuanpei Chen, Yuhan Zhang

Active Classification with Few Queries under Misspecification

Vasilis Kontonis, Mingchen Ma, Christos Tzamos

NeuroClips: Towards High-fidelity and Smooth fMRI-to-Video Reconstruction

Zixuan Gong, Guangyin Bao, Qi Zhang, Zhongwei Wan, Duoqian Miao

In Pursuit of Causal Label Correlations for Multi-label Image Recognition

Zhao-Min Chen, Xin Jin, Yisu Ge, Sixian Chan

KOALA: Empirical Lessons Toward Memory-Efficient and Fast Diffusion Models for Text-to-Image Synthesis

Youngwan Lee, KwanYong Park, Yoorhim Cho, Yong-Ju Lee, Sung Ju Hwang

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

Yueming Xu, Haochen Jiang, Zhongyang Xiao, Jianfeng Feng, Li Zhang

Advancing Cross-domain Discriminability in Continual Learning of Vision-Language Models

Yicheng Xu, Yuxin Chen, Jiahao Nie, Yusong Wang, HUIPING ZHUANG

ContextGS : Compact 3D Gaussian Splatting with Anchor Level Context Model

Yufei Wang, Zhihao Li, Lanqing Guo, Wenhan Yang, Alex C. Kot

Calibrated Self-Rewarding Vision Language Models

Yiyang Zhou, Zhiyuan Fan, Dongjie Cheng, Sihan Yang, Zhaorun Chen

Is Mamba Compatible with Trajectory Optimization in Offline Reinforcement Learning?

Yang Dai, Oubo Ma, Longfei Zhang, Xingxing Liang, Shengchao Hu

Doubly Mild Generalization for Offline Reinforcement Learning

Yixiu Mao, Qi Wang, Yun Qu, Yuhang Jiang, Xiangyang Ji

Continuous Contrastive Learning for Long-Tailed Semi-Supervised Recognition

Siyuan Fang, Zi-Jing Zhou, Tong Wei, Yuanyu Wan, Min-ling Zhang

WenMind: A Comprehensive Benchmark for Evaluating Large Language Models in Chinese Classical Literature and Language Arts

Jiahuan Cao, Yang Liu, Yongxin Shi, Kai Ding, LianWen Jin

SAMPa: Sharpness-aware Minimization Parallelized

Wanyun Xie, Thomas Pethick, Volkan Cevher

Recognize Any Regions

Haosen Yang, Chuofan Ma, Bin Wen, Yi Jiang, Zehuan Yuan

Dealing with Synthetic Data Contamination in Online Continual Learning

Maorong Wang, Nicolas Michel, Jiafeng Mao, Toshihiko Yamasaki

Fast Proxy Experiment Design for Causal Effect Identification

Sepehr Elahi, Sina Akbari, Jalal Etesami, Negar Kiyavash, Patrick Thiran

Practical $0.385$-Approximation for Submodular Maximization Subject to a Cardinality Constraint

Murad Tukan, Loay Mualem, Moran Feldman

Incentivizing Quality Text Generation via Statistical Contracts

Eden Saig, Ohad Einav, Inbal Talgam-Cohen

Fast TRAC: A Parameter-Free Optimizer for Lifelong Reinforcement Learning

Aneesh Muppidi, Zhiyu Zhang, Heng Yang

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

Zhiqing Sun, Longhui Yu, Yikang Shen, Weiyang Liu, Yiming Yang

dopanim: A Dataset of Doppelganger Animals with Noisy Annotations from Multiple Humans

Marek Herde, Denis Huseljic, Lukas Rauch, Bernhard Sick

HEPrune: Fast Private Training of Deep Neural Networks With Encrypted Data Pruning

Yancheng Zhang, Mengxin Zheng, Yuzhang Shang, Xun Chen, Qian Lou

ShowMaker: Creating High-Fidelity 2D Human Video via Fine-Grained Diffusion Modeling

Quanwei Yang, Jiazhi Guan, Kaisiyuan Wang, Lingyun Yu, Wenqing Chu

Benchmarking Uncertainty Disentanglement: Specialized Uncertainties for Specialized Tasks

Bálint Mucsányi, Michael Kirchhof, Seong Joon Oh

Exploring Token Pruning in Vision State Space Models

Zheng Zhan, Zhenglun Kong, Yifan Gong, Yushu Wu, Zichong Meng

JaxMARL: Multi-Agent RL Environments and Algorithms in JAX

Alexander Rutherford, Benjamin Ellis, Matteo Gallici, Jonathan Cook, Andrei Lupu

MMScan: A Multi-Modal 3D Scene Dataset with Hierarchical Grounded Language Annotations

Ruiyuan Lyu, Jingli Lin, Tai WANG, Shuai Yang, Xiaohan Mao

Predicting Future Actions of Reinforcement Learning Agents

Stephen Chung, Scott Niekum, David Krueger

Happy: A Debiased Learning Framework for Continual Generalized Category Discovery

Shijie Ma, Fei Zhu, Zhun Zhong, Wenzhuo LIU, Xu-yao Zhang

Exploiting Descriptive Completeness Prior for Cross Modal Hashing with Incomplete Labels

Haoyang Luo, Zheng Zhang, Yadan Luo

CTIBench: A Benchmark for Evaluating LLMs in Cyber Threat Intelligence

Md Tanvirul Alam, Dipkamal Bhusal, Le Nguyen, Nidhi Rastogi

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

Yixin Liu, Shiyuan Li, Yu Zheng, Qingfeng Chen, Chengqi Zhang

Noisy Ostracods: A Fine-Grained, Imbalanced Real-World Dataset for Benchmarking Robust Machine Learning and Label Correction Methods

Jiamian Hu, Yuanyuan Hong, Yihua Chen, He Wang, Moriaki Yasuhara

Déjà Vu Memorization in Vision–Language Models

Bargav Jayaraman, Chuan Guo, Kamalika Chaudhuri

Communication Bounds for the Distributed Experts Problem

Zhihao Jia, Qi Pang, Trung Tran, David Woodruff, Zhihao Zhang

Towards the Dynamics of a DNN Learning Symbolic Interactions

Qihan Ren, Junpeng Zhang, Yang Xu, Yue Xin, Dongrui Liu

SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering

John Yang, Carlos E. Jimenez, Alexander Wettig, Kilian Lieret, Shunyu Yao

Selective Generation for Controllable Language Models

Minjae Lee, KyungMin Kim, Taesoo Kim, Sangdon Park

HYDRA-FL: Hybrid Knowledge Distillation for Robust and Accurate Federated Learning

Momin Ahmad Khan, Yasra Chandio, Fatima Muhammad Anwar

Approaching Human-Level Forecasting with Language Models

Danny Halawi, Fred Zhang, Chen Yueh-Han, Jacob Steinhardt

Splatter a Video: Video Gaussian Representation for Versatile Processing

Yang-Tian Sun, Lin Ma, Xiaoyang Lyu, Yan-Pei Cao, Xiaojuan Qi

SETLEXSEM CHALLENGE: Using Set Operations to Evaluate the Lexical and Semantic Robustness of Language Models

Bardiya Akhbari, Manish Gawali, Nicholas A. Dronen

Gaussian Graph Network: Learning Efficient and Generalizable Gaussian Representations from Multi-view Images

Shengjun Zhang, Xin Fei, Fangfu Liu, Haixu Song, Yueqi Duan