NeurIPS 2024

4,493 papers

Robust Graph Neural Networks via Unbiased Aggregation

Zhichao Hou, Ruiqi Feng, Tyler Derr, Xiaorui Liu

Plant-and-Steal: Truthful Fair Allocations via Predictions

Ilan Reuven Cohen, Alon Eden, Talya Eden, Arsen Vasilyan

Diffusion Spectral Representation for Reinforcement Learning

Dmitry Shribak, Chen-Xiao Gao, Yitong Li, Chenjun Xiao, Bo Dai

MassSpecGym: A benchmark for the discovery and identification of molecules

Roman Bushuiev, Anton Bushuiev, Niek F. de Jonge, Adamo Young, Fleming Kretschmer

Con4m: Context-aware Consistency Learning Framework for Segmented Time Series Classification

Junru Chen, Tianyu Cao, Jing Xu, Jiahe Li, Zhilong Chen

Finding good policies in average-reward Markov Decision Processes without prior knowledge

Adrienne Tuynman, Rémy Degenne, Emilie Kaufmann

VideoLLM-MoD: Efficient Video-Language Streaming with Mixture-of-Depths Vision Computation

Shiwei Wu, Joya Chen, Kevin Qinghong Lin, Qimeng Wang, Yan Gao

IQA-EVAL: Automatic Evaluation of Human-Model Interactive Question Answering

Ruosen Li, Ruochen Li, Barry Wang, Xinya Du

LuSh-NeRF: Lighting up and Sharpening NeRFs for Low-light Scenes

Zefan Qu, Ke Xu, Gerhard Petrus Hancke, Rynson W.H. Lau

Estimating Epistemic and Aleatoric Uncertainty with a Single Model

Matthew A. Chan, Maria J. Molina, Christopher A. Metzler

Nonconvex Federated Learning on Compact Smooth Submanifolds With Heterogeneous Data

Jiaojiao Zhang, Jiang Hu, Anthony Man-Cho So, Mikael Johansson

Evaluation of Text-to-Video Generation Models: A Dynamics Perspective

Mingxiang Liao, Hannan Lu, Xinyu Zhang, Fang Wan, Tianyu Wang

Elliptical Attention

Stefan K. Nielsen, Laziz U. Abdullaev, Rachel S.Y. Teo, Tan M. Nguyen

WikiContradict: A Benchmark for Evaluating LLMs on Real-World Knowledge Conflicts from Wikipedia

Yufang Hou, Alessandra Pascale, Javier Carnerero-Cano, Tigran Tchrakian, Radu Marinescu

Generalizing Consistency Policy to Visual RL with Prioritized Proximal Experience Regularization

Haoran Li, Zhennan Jiang, Yuhui Chen, Dongbin Zhao

LLM Processes: Numerical Predictive Distributions Conditioned on Natural Language

James Requeima, John Bronskill, Dami Choi, David Duvenaud, Richard E Turner

Customized Subgraph Selection and Encoding for Drug-drug Interaction Prediction

Haotong Du, Quanming Yao, Juzheng Zhang, Yang Liu, Zhen Wang

Approximately Pareto-optimal Solutions for Bi-Objective k-Clustering

Anna Arutyunova, Jan Eube, Heiko Röglin, Melanie Schmidt, Sarah Sturm

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

Xin Cheng, Xun Wang, Xingxing Zhang, Tao Ge, Si-Qing Chen

Amortized Bayesian Experimental Design for Decision-Making

Daolang Huang, Yujia Guo, Luigi Acerbi, Samuel Kaski

DiffTORI: Differentiable Trajectory Optimization for Deep Reinforcement and Imitation Learning

Weikang Wan, Ziyu Wang, Yufei Wang, Zackory Erickson, David Held

Learning to Edit Visual Programs with Self-Supervision

R. Kenny Jones, Renhao Zhang, Aditya Ganeshan, Daniel Ritchie

Virtual Scanning: Unsupervised Non-line-of-sight Imaging from Irregularly Undersampled Transients

Xingyu Cui, Huanjing Yue, Song Li, Xiangjun Yin, Yusen Hou

Adaptive Layer Sparsity for Large Language Models via Activation Correlation Assessment

Wei Li, Lujun Li, Mark Lee, Shengjie Sun

Visual Pinwheel Centers Act as Geometric Saliency Detectors

Haixin Zhong, Mingyi Huang, Wei P. Dai, Haoyu Wang, Anna Wang Roe

Bridging Geometric States via Geometric Diffusion Bridge

Shengjie Luo, Yixian Xu, Di He, Shuxin Zheng, Tie-yan Liu

Optimal ablation for interpretability

Maximilian Li, Lucas Janson

DeBaRA: Denoising-Based 3D Room Arrangement Generation

Léopold Maillard, Nicolas Sereyjol-Garros, Tom Durand, Maks Ovsjanikov

Mitigating Covariate Shift in Behavioral Cloning via Robust Stationary Distribution Correction

Seokin Seo, Byung-Jun Lee, Jongmin Lee, HyeongJoo Hwang, Hongseok Yang

Rethinking Out-of-Distribution Detection on Imbalanced Data Distribution

Kai Liu, Zhihang Fu, Sheng Jin, Chao Chen, Ze Chen

Causal Inference in the Closed-Loop: Marginal Structural Models for Sequential Excursion Effects

Alexander W. Levis, Gabriel Loewinger, Francisco Pereira

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

Vivien Cabannes, Charles Arnal, Wassim Bouaziz, Alice Yang, Francois Charton

Partial Structure Discovery is Sufficient for No-regret Learning in Causal Bandits

Muhammad Qasim Elahi, Mahsa Ghasemi, Murat Kocaoglu

Nearly Minimax Optimal Regret for Multinomial Logistic Bandit

Joongkyu Lee, Min-hwan Oh

Understanding and Improving Training-free Loss-based Diffusion Guidance

Yifei Shen, XINYANG JIANG, Yifan Yang, Yezhen Wang, Dongqi Han

Discretely beyond $1/e$: Guided Combinatorial Algortihms for Submodular Maximization

Yixin Chen, Ankur Nath, Chunli Peng, Alan Kuhnle

Learning Superconductivity from Ordered and Disordered Material Structures

Pin Chen, Luoxuan Peng, Rui Jiao, Qing Mo, Zhen Wang

Rule Based Rewards for Language Model Safety

Tong Mu, Alec Helyar, Johannes Heidecke, Joshua Achiam, Andrea Vallone

GenRec: Unifying Video Generation and Recognition with Diffusion Models

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

MARPLE: A Benchmark for Long-Horizon Inference

Emily Jin, Zhuoyi Huang, Jan-Philipp Fränken, Weiyu Liu, Hannah Cha

Conformal Classification with Equalized Coverage for Adaptively Selected Groups

Yanfei Zhou, Matteo Sesia

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

Zichun Yu, Spandan Das, Chenyan Xiong

Temporal-Difference Learning Using Distributed Error Signals

Jonas Guan, Shon Eduard Verch, Claas Voelcker, Ethan C. Jackson, Nicolas Papernot

BetterDepth: Plug-and-Play Diffusion Refiner for Zero-Shot Monocular Depth Estimation

Xiang Zhang, Bingxin Ke, Hayko Riemenschneider, Nando Metzger, Anton Obukhov

Transformation-Invariant Learning and Theoretical Guarantees for OOD Generalization

Omar Montasser, Han Shao, Emmanuel Abbe

CRT-Fusion: Camera, Radar, Temporal Fusion Using Motion Information for 3D Object Detection

Jisong Kim, Minjae Seong, Jun Won Choi

Neural decoding from stereotactic EEG: accounting for electrode variability across subjects

Georgios Mentzelopoulos, Evangelos Chatzipantazis, Ashwin G. Ramayya, Michelle J. Hedlund, Vivek P. Buch

Learning General Parameterized Policies for Infinite Horizon Average Reward Constrained MDPs via Primal-Dual Policy Gradient Algorithm

Qinbo Bai, Washim Uddin Mondal, Vaneet Aggarwal

Learning Elastic Costs to Shape Monge Displacements

Michal Klein, Aram-Alexandre Pooladian, Pierre Ablin, Eugene Ndiaye, Jonathan Niles-Weed

Active Set Ordering

Quoc Phong Nguyen, Sunil Gupta, Svetha Venkatesh, Bryan Kian Hsiang Low, Patrick Jaillet

DDN: Dual-domain Dynamic Normalization for Non-stationary Time Series Forecasting

Tao Dai, Beiliang Wu, Peiyuan Liu, Naiqi Li, Xue Yuerong

The Minimax Rate of HSIC Estimation for Translation-Invariant Kernels

Florian Kalinke, Zoltan Szabo

Retrieval & Fine-Tuning for In-Context Tabular Models

Valentin Thomas, Junwei Ma, Rasa Hosseinzadeh, Keyvan Golestan, Guangwei Yu

Memorize What Matters: Emergent Scene Decomposition from Multitraverse

Yiming Li, Zehong Wang, Yue Wang, Zhiding Yu, Zan Gojcic

In-and-Out: Algorithmic Diffusion for Sampling Convex Bodies

Yunbum Kook, Santosh S. Vempala, Matthew S. Zhang

Deep Learning in Medical Image Registration: Magic or Mirage?

Rohit Jena, Deeksha Sethi, Pratik Chaudhari, James C. Gee

The Limits of Transfer Reinforcement Learning with Latent Low-rank Structure

Tyler Sam, Yudong Chen, Christina Lee Yu

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

Qinghua Liu, John Paparrizos

Vision-Language Navigation with Energy-Based Policy

Rui Liu, Wenguan Wang, Yi Yang

Optimistic Critic Reconstruction and Constrained Fine-Tuning for General Offline-to-Online RL

Qin-Wen Luo, Ming-Kun Xie, Sheng-jun Huang, Yewen Wang, Ye-Wen Wang

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

Khai Nguyen, nhật Hồ

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

Renjie Pi, Jianshu Zhang, Jipeng Zhang, Rui Pan, Zhekai Chen

Accelerating Nash Equilibrium Convergence in Monte Carlo Settings Through Counterfactual Value Based Fictitious Play

Ju Qi, Hei Falin, Feng Ting, Yi Dengbing, Fang Zhemei

Consent in Crisis: The Rapid Decline of the AI Data Commons

Shayne Longpre, Robert Mahari, Ariel Lee, Campbell Lund, Hamidah Oderinwale

Transformers Can Do Arithmetic with the Right Embeddings

Sean McLeish, Arpit Bansal, Alex Stein, Neel Jain, John Kirchenbauer

YOLOv10: Real-Time End-to-End Object Detection

Ao Wang, Hui Chen, Lihao Liu, Kai Chen, Zijia Lin

Score-Optimal Diffusion Schedules

Christopher Williams, Andrew Campbell, Arnaud Doucet, Saifuddin Syed

Fast Channel Simulation via Error-Correcting Codes

Sharang M. Sriramu, Rochelle Barsz, Elizabeth Polito, Aaron B. Wagner

Compositional PAC-Bayes: Generalization of GNNs with persistence and beyond

Kirill Brilliantov, Amauri H. Souza, Vikas Garg

D-MiSo: Editing Dynamic 3D Scenes using Multi-Gaussians Soup

Joanna Waczyńska, Piotr Borycki, Joanna Kaleta, Sławomir Tadeja, Przemysław Spurek

Are Uncertainty Quantification Capabilities of Evidential Deep Learning a Mirage?

Maohao Shen, J. Jon Ryu, Soumya Ghosh, Yuheng Bu, Prasanna Sattigeri

VisMin: Visual Minimal-Change Understanding

Rabiul Awal, Saba Ahmadi, Le Zhang, Aishwarya Agrawal

How Does Black-Box Impact the Learning Guarantee of Stochastic Compositional Optimization?

Jun Chen, Hong Chen, Bin Gu

Spider2-V: How Far Are Multimodal Agents From Automating Data Science and Engineering Workflows?

Ruisheng Cao, Fangyu Lei, Haoyuan Wu, Jixuan Chen, Yeqiao Fu

Leveraging Drift to Improve Sample Complexity of Variance Exploding Diffusion Models

Ruofeng Yang, Zhijie Wang, Bo Jiang, Shuai Li

Towards Flexible Visual Relationship Segmentation

Fangrui Zhu, Jianwei Yang, Huaizu Jiang

Causal Deciphering and Inpainting in Spatio-Temporal Dynamics via Diffusion Model

Yifan Duan, Jian Zhao, Junyuan Mao, Hao Wu, Jingyu Xu

xLSTM: Extended Long Short-Term Memory

Maximilian Beck, Korbinian Pöppel, Markus Spanring, Andreas Auer, Oleksandra Prudnikova

Energy-Guided Continuous Entropic Barycenter Estimation for General Costs

Alexander Kolesov, Petr Mokrov, Igor Udovichenko, Milena Gazdieva, Gudmund Pammer

Remix-DiT: Mixing Diffusion Transformers for Multi-Expert Denoising

Gongfan Fang, Xinyin Ma, Xinchao Wang

UniMTS: Unified Pre-training for Motion Time Series

Xiyuan Zhang, Diyan Teng, Ranak Roy Chowdhury, Shuheng Li, Dezhi Hong

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

Pin-Yen Huang, Szu-Wei Fu, Yu Tsao

GFT: Graph Foundation Model with Transferable Tree Vocabulary

Zehong Wang, Zheyuan Zhang, Chuxu Zhang, Yanfang Ye, Nitesh V. Chawla

Improving Gloss-free Sign Language Translation by Reducing Representation Density

Jinhui Ye, Xing Wang, Wenxiang Jiao, Junwei Liang, Hui Xiong

ManiPose: Manifold-Constrained Multi-Hypothesis 3D Human Pose Estimation

Cédric ROMMEL, Victor Letzelter, Nermin Samet, Renaud Marlet, Matthieu Cord

FreeSplat: Generalizable 3D Gaussian Splatting Towards Free View Synthesis of Indoor Scenes

Yunsong Wang, Tianxin Huang, Hanlin Chen, Gim Hee Lee

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

Dan Braun, Jordan Taylor, Nicholas Goldowsky-Dill, Lee Sharkey

Harmony4D: A Video Dataset for In-The-Wild Close Human Interactions

Rawal Khirodkar, Jyun-Ting Song, Jinkun Cao, Zhengyi Luo, Kris Kitani

Adaptive Preference Scaling for Reinforcement Learning with Human Feedback

Ilgee Hong, Zichong Li, Alexander Bukharin, Yixiao Li, Haoming Jiang

VFIMamba: Video Frame Interpolation with State Space Models

Guozhen Zhang, Chunxu Liu, Yutao Cui, Xiaotong Zhao, Kai Ma

Trajectory Flow Matching with Applications to Clinical Time Series Modelling

Xi Zhang, YUAN PU, Yuki Kawamura, Andrew Loza, Yoshua Bengio

Leveraging Hallucinations to Reduce Manual Prompt Dependency in Promptable Segmentation

Jian Hu, Jiayi Lin, Junchi Yan, Shaogang Gong

Self-Calibrating Conformal Prediction

Lars van der Laan, Ahmed M. Alaa

SlimGPT: Layer-wise Structured Pruning for Large Language Models

Gui Ling, Ziyang Wang, Yuliang Yan, Qingwen Liu

Pessimistic Backward Policy for GFlowNets

Hyosoon Jang, Yunhui Jang, Minsu Kim, Jinkyoo Park, Sungsoo Ahn

MVSplat360: Feed-Forward 360 Scene Synthesis from Sparse Views

Yuedong Chen, Chuanxia Zheng, Haofei Xu, Bohan Zhuang, Andrea Vedaldi

StreamBench: Towards Benchmarking Continuous Improvement of Language Agents

Cheng-Kuang Wu, Zhi Rui Tam, Chieh-Yen Lin, Yun-Nung Chen, Hung-yi Lee

Risk-Averse Fine-tuning of Large Language Models

Sapana Chaudhary, Ujwal Dinesha, Dileep Kalathil, Srinivas Shakkottai

Learning from Uncertain Data: From Possible Worlds to Possible Models

Jiongli Zhu, Su Feng, Boris Glavic, Babak Salimi

Online Feature Updates Improve Online (Generalized) Label Shift Adaptation

Ruihan Wu, Siddhartha Datta, Yi Su, Dheeraj Baby, Yu-Xiang Wang