NeurIPS 2024

4,493 papers

OASIS: Conditional Distribution Shaping for Offline Safe Reinforcement Learning

Yihang Yao, Zhepeng Cen, Wenhao Ding, Haohong Lin, Shiqi Liu

Multi-modal Transfer Learning between Biological Foundation Models

Juan Jose Garau-Luis, Patrick Bordes, Liam Gonzalez, Masa Roller, Bernardo P. de Almeida

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

Thibault Simonetto, Salah Ghamizi, Maxime Cordy

One-to-Normal: Anomaly Personalization for Few-shot Anomaly Detection

Yiyue Li, Shaoting Zhang, Kang Li, Qicheng Lao

Understanding Transformer Reasoning Capabilities via Graph Algorithms

Clayton Sanford, Bahare Fatemi, Ethan Hall, Anton Tsitsulin, Mehran Kazemi

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

Yonggan Fu, Zhongzhi Yu, Junwei Li, Jiayi Qian, Yongan Zhang

Online Convex Optimisation: The Optimal Switching Regret for all Segmentations Simultaneously

Stephen Pasteris, Chris Hicks, Vasilios Mavroudis, Mark Herbster

Structured Unrestricted-Rank Matrices for Parameter Efficient Finetuning

Arijit Sehanobish, Avinava Dubey, Krzysztof Choromanski, Somnath Basu Roy Chowdhury, Deepali Jain

An Accelerated Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness

Xiaochuan Gong, Jie Hao, Mingrui Liu

Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning

Shuguang Yu, Shuxing Fang, Ruixin Peng, Zhengling Qi, Fan Zhou

Motion Forecasting in Continuous Driving

Nan Song, Bozhou Zhang, Xiatian Zhu, Li Zhang

BLEnD: A Benchmark for LLMs on Everyday Knowledge in Diverse Cultures and Languages

Junho Myung, Nayeon Lee, Yi Zhou, Jiho Jin, Rifki Afina Putri

Dual-Diffusion for Binocular 3D Human Pose Estimation

Xiaoyue Wan, Zhuo Chen, Bingzhi Duan, Xu Zhao

kGym: A Platform and Dataset to Benchmark Large Language Models on Linux Kernel Crash Resolution

Alex Mathai, Chenxi Huang, Petros Maniatis, Aleksandr Nogikh, Franjo Ivančić

Covariate Shift Corrected Conditional Randomization Test

Bowen Xu, Yiwen Huang, Chuan Hong, Shuangning Li, Molei Liu

Generating Highly Designable Proteins with Geometric Algebra Flow Matching

Simon Wagner, Leif Seute, Vsevolod Viliuga, Nicolas Wolf, Frauke Gräter

SSDiff: Spatial-spectral Integrated Diffusion Model for Remote Sensing Pansharpening

Yu Zhong, Xiao Wu, Zihan Cao, Hong-Xia Dou, Liang-Jian Deng

Uncovering, Explaining, and Mitigating the Superficial Safety of Backdoor Defense

Rui Min, Zeyu Qin, Nevin L. Zhang, Li Shen, Minhao Cheng

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

Haoxin Liu, Shangqing Xu, Zhiyuan Zhao, Lingkai Kong, Harshavardhan Kamarthi

VLMimic: Vision Language Models are Visual Imitation Learner for Fine-grained Actions

Guangyan Chen, Meiling Wang, Te Cui, Yao Mu, Haoyang Lu

Language-Driven Interactive Traffic Trajectory Generation

Junkai Xia, Chenxin Xu, Qingyao Xu, Yanfeng Wang, Siheng Chen

Point Cloud Matters: Rethinking the Impact of Different Observation Spaces on Robot Learning

Haoyi Zhu, Yating Wang, Di Huang, Weicai Ye, Wanli Ouyang

ID^3: Identity-Preserving-yet-Diversified Diffusion Models for Synthetic Face Recognition

Jianqing Xu, Shen Li, Jiaying Wu, Miao Xiong, Ailin Deng

SkiLD: Unsupervised Skill Discovery Guided by Factor Interactions

Zizhao Wang, Jiaheng Hu, Caleb Chuck, Stephen Chen, Roberto Martín-Martín

An Analytical Study of Utility Functions in Multi-Objective Reinforcement Learning

Manel Rodriguez-Soto, Juan A. Rodríguez-aguilar, Maite Lopez-Sanchez

Confidence Calibration of Classifiers with Many Classes

Adrien Le Coz, Stéphane Herbin, Faouzi Adjed

Relational Concept Bottleneck Models

Pietro Barbiero, Francesco Giannini, Gabriele Ciravegna, Michelangelo Diligenti, Giuseppe Marra

Solving Sparse \& High-Dimensional-Output Regression via Compression

Renyuan Li, Zhehui Chen, Guanyi Wang

Iteratively Refined Early Interaction Alignment for Subgraph Matching based Graph Retrieval

Ashwin Ramachandran, Vaibhav Raj, Indrayumna Roy, Soumen Chakrabarti, Abir De

Local Anti-Concentration Class: Logarithmic Regret for Greedy Linear Contextual Bandit

Seok-Jin Kim, Min-hwan Oh

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

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

BPQP: A Differentiable Convex Optimization Framework for Efficient End-to-End Learning

Jianming Pan, Zeqi Ye, Xiao Yang, Xu Yang, Weiqing Liu

DevBench: A multimodal developmental benchmark for language learning

Alvin W. M. Tan, Sunny Yu, Bria Long, Wanjing Anya Ma, Tonya Murray

Faster Accelerated First-order Methods for Convex Optimization with Strongly Convex Function Constraints

Zhenwei Lin, Qi Deng

Contracting with a Learning Agent

Guru Guruganesh, Yoav Kolumbus, Jon Schneider, Inbal Talgam-Cohen, Emmanouil-Vasileios Vlatakis-Gkaragkounis

Pretrained Transformer Efficiently Learns Low-Dimensional Target Functions In-Context

Kazusato Oko, Yujin Song, Taiji Suzuki, Denny Wu

Conditional Generative Models are Sufficient to Sample from Any Causal Effect Estimand

Md Musfiqur Rahman, Matt Jordan, Murat Kocaoglu

Sample-Efficient Geometry Reconstruction from Euclidean Distances using Non-Convex Optimization

Ipsita Ghosh, Abiy Tasissa, Christian Kümmerle

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

Zi Yang, Ziyue Liu, Samridhi Choudhary, Xinfeng Xie, Cao Gao

End-To-End Causal Effect Estimation from Unstructured Natural Language Data

Nikita Dhawan, Leonardo Cotta, Karen Ullrich, Rahul G Krishnan, Chris J Maddison

HOI-Swap: Swapping Objects in Videos with Hand-Object Interaction Awareness

Zihui Xue, Mi Luo, Changan Chen, Kristen Grauman

Causal Temporal Representation Learning with Nonstationary Sparse Transition

Xiangchen Song, Zijian Li, Guangyi Chen, Yujia Zheng, Yewen Fan

Learning to Discuss Strategically: A Case Study on One Night Ultimate Werewolf

Xuanfa Jin, Ziyan Wang, Yali Du, Meng Fang, Haifeng Zhang

Personalized Federated Learning via Feature Distribution Adaptation

Connor J. McLaughlin, Lili Su

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

Pengfei Yao, Yinglong Zhu, Huikun Bi, Tianlu Mao, Zhaoqi Wang

Orchid: Flexible and Data-Dependent Convolution for Sequence Modeling

Mahdi Karami, Ali Ghodsi

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

Beier Zhu, Jiequan Cui, Hanwang Zhang

Many-Shot In-Context Learning

Rishabh Agarwal, Avi Singh, Lei Zhang, Bernd Bohnet, Luis Rosias

Enabling Adaptive Agent Training in Open-Ended Simulators by Targeting Diversity

Robby Costales, Stefanos Nikolaidis

Deep linear networks for regression are implicitly regularized towards flat minima

Pierre Marion, Lénaïc Chizat

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

Yunze Man, Shuhong Zheng, Zhipeng Bao, Martial Hebert, Yu-Xiong Wang

BitsFusion: 1.99 bits Weight Quantization of Diffusion Model

Yang Sui, Yanyu Li, Anil Kag, Yerlan Idelbayev, Junli Cao

PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs

Zhongkai Hao, Jiachen Yao, Chang Su, Hang Su, Ziao Wang

Randomized Exploration for Reinforcement Learning with Multinomial Logistic Function Approximation

Wooseong Cho, Taehyun Hwang, Joongkyu Lee, Min-hwan Oh

Expanding Sparse Tuning for Low Memory Usage

Shufan Shen, Junshu Sun, Xiangyang Ji, Qingming Huang, Shuhui Wang

Few-shot Algorithms for Consistent Neural Decoding (FALCON) Benchmark

Brianna M. Karpowicz, Joel Ye, Chaofei Fan, Pablo Tostado-Marcos, Fabio Rizzoglio

Space-Time Continuous PDE Forecasting using Equivariant Neural Fields

David M. Knigge, David R. Wessels, Riccardo Valperga, Samuele Papa, Jan-Jakob Sonke

Disentangled Unsupervised Skill Discovery for Efficient Hierarchical Reinforcement Learning

Jiaheng Hu, Zizhao Wang, Peter Stone, Roberto Martín-Martín

Set-based Neural Network Encoding Without Weight Tying

Bruno Andreis, Soro Bedionita, Philip H.S. Torr, Sung Ju Hwang

Testing Semantic Importance via Betting

Jacopo Teneggi, Jeremias Sulam

Online Bayesian Persuasion Without a Clue

Francesco Bacchiocchi, Matteo Bollini, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti

GuardT2I: Defending Text-to-Image Models from Adversarial Prompts

Yijun Yang, Ruiyuan Gao, Xiao Yang, Jianyuan Zhong, Qiang Xu

Normal-GS: 3D Gaussian Splatting with Normal-Involved Rendering

Meng Wei, Qianyi Wu, Jianmin Zheng, Hamid Rezatofighi, Jianfei Cai

Persistence Homology Distillation for Semi-supervised Continual Learning

Yan Fan, Yu Wang, Pengfei Zhu, Dongyue Chen, Qinghua Hu

NanoBaseLib: A Multi-Task Benchmark Dataset for Nanopore Sequencing

Guangzhao Cheng, Chengbo Fu, Lu Cheng

Neural Assets: 3D-Aware Multi-Object Scene Synthesis with Image Diffusion Models

Ziyi Wu, Yulia Rubanova, Rishabh Kabra, Drew A. Hudson, Igor Gilitschenski

Measuring Mutual Policy Divergence for Multi-Agent Sequential Exploration

Haowen Dou, Lujuan Dang, Zhirong Luan, Badong Chen

Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations

Alexander Hägele, Elie Bakouch, Atli Kosson, Loubna Ben allal, Leandro Von Werra

Convergence of No-Swap-Regret Dynamics in Self-Play

Renato Paes Leme, Georgios Piliouras, Jon Schneider

CoMat: Aligning Text-to-Image Diffusion Model with Image-to-Text Concept Matching

Dongzhi Jiang, Guanglu Song, Xiaoshi Wu, Renrui Zhang, Dazhong Shen

Confident Natural Policy Gradient for Local Planning in q_π-realizable Constrained MDPs

TIAN TIAN, Lin F. Yang, Csaba Szepesvári

Video Diffusion Models are Training-free Motion Interpreter and Controller

Zeqi Xiao, Yifan Zhou, Shuai Yang, Xingang Pan

Amortizing intractable inference in diffusion models for vision, language, and control

Siddarth Venkatraman, Moksh Jain, Luca Scimeca, Minsu Kim, Marcin Sendera

Continual Audio-Visual Sound Separation

Weiguo Pian, Yiyang Nan, Shijian Deng, Shentong Mo, Yunhui Guo

The Reliability of OKRidge Method in Solving Sparse Ridge Regression Problems

Xiyuan Li, Youjun Wang, Weiwei Liu

Local Linearity: the Key for No-regret Reinforcement Learning in Continuous MDPs

Davide Maran, Alberto Maria Metelli, Matteo Papini, Marcello Restelli

VLM Agents Generate Their Own Memories: Distilling Experience into Embodied Programs of Thought

Gabriel Sarch, Lawrence Jang, Michael J. Tarr, William W. Cohen, Kenneth Marino

Conditional Synthesis of 3D Molecules with Time Correction Sampler

Hojung Jung, Youngrok Park, Laura Schmid, Jaehyeong Jo, Dongkyu Lee

On Divergence Measures for Training GFlowNets

Tiago da Silva, Eliezer de Souza da Silva, Diego Mesquita

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

Sunny Panchal, Apratim Bhattacharyya, Guillaume Berger, Antoine Mercier, Cornelius Böhm

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

Qi Bi, Jingjun Yi, Hao Zheng, Wei Ji, Haolan Zhan

Accelerating Relative Entropy Coding with Space Partitioning

Jiajun He, Gergely Flamich, José Miguel Hernández-Lobato

GTA: A Benchmark for General Tool Agents

Jize Wang, Zerun Ma, Yining Li, Songyang Zhang, Cailian Chen

Pricing and Competition for Generative AI

Rafid Mahmood

T2V-Turbo: Breaking the Quality Bottleneck of Video Consistency Model with Mixed Reward Feedback

Jiachen Li, Weixi Feng, Tsu-Jui Fu, Xinyi Wang, Sugato Basu

Accelerating Pre-training of Multimodal LLMs via Chain-of-Sight

Ziyuan Huang, Kaixiang Ji, Biao Gong, Zhiwu Qing, Qinglong Zhang

Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning

Lanqing Li, Hai Zhang, Xinyu Zhang, Shatong Zhu, Yang Yu

Assouad, Fano, and Le Cam with Interaction: A Unifying Lower Bound Framework and Characterization for Bandit Learnability

Fan Chen, Yanjun Han, Jian Qian, Alexander Rakhlin, Yunbei Xu

IR-CM: The Fast and General-purpose Image Restoration Method Based on Consistency Model

Xiaoxuan Gong, Jie Ma

Panacea: Pareto Alignment via Preference Adaptation for LLMs

Yifan Zhong, Chengdong Ma, Xiaoyuan Zhang, Ziran Yang, Haojun Chen

From Biased to Unbiased Dynamics: An Infinitesimal Generator Approach

Timothée Devergne, Vladimir R. Kostic, Michele Parrinello, Massimiliano Pontil

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

Ruiqi Gao, Aleksander Hołyński, Philipp Henzler, Arthur Brussee, Ricardo Martin-Brualla

ConceptFactory: Facilitate 3D Object Knowledge Annotation with Object Conceptualization

Jianhua Sun, Yuxuan Li, Longfei Xu, Nange Wang, Jiude Wei

Domain Adaptation for Large-Vocabulary Object Detectors

Kai Jiang, Jiaxing Huang, Weiying Xie, Jie Lei, Yunsong Li

Is A Picture Worth A Thousand Words? Delving Into Spatial Reasoning for Vision Language Models

Jiayu Wang, Yifei Ming, Zhenmei Shi, Vibhav Vineet, Xin Wang

Structural Inference of Dynamical Systems with Conjoined State Space Models

Aoran Wang, Jun Pang

MambaTree: Tree Topology is All You Need in State Space Model

Yicheng Xiao, Lin Song, Shaoli Huang, Jiangshan Wang, Siyu Song

DePLM: Denoising Protein Language Models for Property Optimization

Zeyuan Wang, Keyan Ding, Ming Qin, Xiaotong Li, Xiang Zhuang

Exploration by Learning Diverse Skills through Successor State Representations

Paul-Antoine Le Tolguenec, Yann Besse, Florent Teichteil-Konigsbuch, Dennis G. Wilson, Emmanuel Rachelson

On scalable oversight with weak LLMs judging strong LLMs

Zachary Kenton, Noah Y. Siegel, János Kramár, Jonah Brown-Cohen, Samuel Albanie