NeurIPS 2024

4,493 papers

LiveScene: Language Embedding Interactive Radiance Fields for Physical Scene Control and Rendering

Delin Qu, Qizhi Chen, Pingrui Zhang, Xianqiang Gao, Bin Zhao

The Importance of Online Data: Understanding Preference Fine-tuning via Coverage

Yuda Song, Gokul Swamy, Aarti Singh, J. Andrew Bagnell, Wen Sun

PhoCoLens: Photorealistic and Consistent Reconstruction in Lensless Imaging

Xin Cai, Zhiyuan You, Hailong Zhang, Wentao Liu, Jinwei Gu

Action Imitation in Common Action Space for Customized Action Image Synthesis

Wang Lin, Jingyuan Chen, Jiaxin Shi, Zirun Guo, Yichen Zhu

Exploring Structured Semantic Priors Underlying Diffusion Score for Test-time Adaptation

Mingjia Li, Shuang Li, Tongrui Su, Longhui Yuan, Jian Liang

MMM-RS: A Multi-modal, Multi-GSD, Multi-scene Remote Sensing Dataset and Benchmark for Text-to-Image Generation

Jialin Luo, Yuanzhi Wang, Ziqi Gu, Yide Qiu, Shuaizhen Yao

Differentially Private Graph Diffusion with Applications in Personalized PageRanks

Rongzhe Wei, Eli Chien, Pan Li

MoE Jetpack: From Dense Checkpoints to Adaptive Mixture of Experts for Vision Tasks

Xingkui Zhu, Yiran Guan, dingkang liang, Yuchao Chen, Yuliang Liu

UniTox: Leveraging LLMs to Curate a Unified Dataset of Drug-Induced Toxicity from FDA Labels

Jake Silberg, Kyle Swanson, Elana Simon, Angela Zhang, Zaniar Ghazizadeh

DMesh: A Differentiable Mesh Representation

Sanghyun Son, Matheus Gadelha, Yang Zhou, Zexiang Xu, Ming C. Lin

Bandits with Preference Feedback: A Stackelberg Game Perspective

Barna Pásztor, Parnian Kassraie, Andreas Krause

Identifying Selections for Unsupervised Subtask Discovery

Yiwen Qiu, Yujia Zheng, Kun Zhang

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

Fangcheng Liu, Yehui Tang, Zhenhua Liu, Yunsheng Ni, Duyu Tang

Interpretable Generalized Additive Models for Datasets with Missing Values

Hayden McTavish, Jon Donnelly, Margo Seltzer, Cynthia Rudin

GarmentLab: A Unified Simulation and Benchmark for Garment Manipulation

Haoran Lu, Ruihai Wu, Yitong Li, Sijie Li, Ziyu Zhu

A Versatile Diffusion Transformer with Mixture of Noise Levels for Audiovisual Generation

Gwanghyun Kim, Alonso Martinez, Yu-Chuan Su, Brendan Jou, José Lezama

HyperPrism: An Adaptive Non-linear Aggregation Framework for Distributed Machine Learning over Non-IID Data and Time-varying Communication Links

Haizhou Du, Yijian Chen, Ryan Yang, Yuchen Li, Linghe Kong

Road Network Representation Learning with the Third Law of Geography

Haicang Zhou, Weiming Huang, Yile Chen, Tiantian He, Gao Cong

A Gradient Accumulation Method for Dense Retriever under Memory Constraint

Jaehee Kim, Yukyung Lee, Pilsung Kang

Variational Flow Matching for Graph Generation

Floor Eijkelboom, Grigory Bartosh, Christian A. Naesseth, Max Welling, Jan-Willem van de Meent

AsEP: Benchmarking Deep Learning Methods for Antibody-specific Epitope Prediction

Chu'nan Liu, Lilian Denzler, Yihong Chen, Andrew Martin, Brooks Paige

On the Identifiability of Poisson Branching Structural Causal Model Using Probability Generating Function

Yu Xiang, Jie Qiao, Zhefeng Liang, Zihuai Zeng, Ruichu Cai

Incorporating Test-Time Optimization into Training with Dual Networks for Human Mesh Recovery

Yongwei Nie, Mingxian Fan, Chengjiang Long, Qing Zhang, Jian Zhu

Slot State Space Models

Jindong Jiang, Fei Deng, Gautam Singh, Minseung Lee, Sungjin Ahn

Episodic Future Thinking Mechanism for Multi-agent Reinforcement Learning

Dongsu Lee, Minhae Kwon

PutnamBench: Evaluating Neural Theorem-Provers on the Putnam Mathematical Competition

George Tsoukalas, Jasper Lee, John Jennings, Jimmy Xin, Michelle Ding

EffiBench: Benchmarking the Efficiency of Automatically Generated Code

Dong Huang, Yuhao Qing, Weiyi Shang, Heming Cui, Jie M. Zhang

CVQA: Culturally-diverse Multilingual Visual Question Answering Benchmark

David Romero, Chenyang Lyu, Haryo Akbarianto Wibowo, Teresa Lynn, Injy Hamed

Typicalness-Aware Learning for Failure Detection

Yijun Liu, Jiequan Cui, Zhuotao Tian, Senqiao Yang, Qingdong He

Long-Range Feedback Spiking Network Captures Dynamic and Static Representations of the Visual Cortex under Movie Stimuli

Liwei Huang, Zhengyu Ma, Liutao Yu, Huihui Zhou, Yonghong Tian

Measuring Goal-Directedness

Matt MacDermott, James Fox, Francesco Belardinelli, Tom Everitt

MonoMAE: Enhancing Monocular 3D Detection through Depth-Aware Masked Autoencoders

Xueying Jiang, Sheng Jin, Xiaoqin Zhang, Ling Shao, Shijian Lu

Addressing Bias in Online Selection with Limited Budget of Comparisons

Ziyad Benomar, Evgenii Chzhen, Nicolas Schreuder, Vianney Perchet

Robust Reinforcement Learning with General Utility

Ziyi Chen, Yan Wen, Zhengmian Hu, Heng Huang

Mind the Gap Between Prototypes and Images in Cross-domain Finetuning

Hongduan Tian, Feng Liu, Zhanke Zhou, Tongliang Liu, Chengqi Zhang

Personalized Instance-based Navigation Toward User-Specific Objects in Realistic Environments

Luca Barsellotti, Roberto Bigazzi, Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara

Optimal Algorithms for Augmented Testing of Discrete Distributions

Maryam Aliakbarpour, Piotr Indyk, Ronitt Rubinfeld, Sandeep Silwal

LESS: Label-Efficient and Single-Stage Referring 3D Segmentation

Xuexun Liu, Xiaoxu Xu, Jinlong Li, Qiudan Zhang, Xu Wang

A Simple and Optimal Approach for Universal Online Learning with Gradient Variations

Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou

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

Jeremiah Birrell, Reza Ebrahimi, Rouzbeh Behnia, Jason Pacheco

Selective Attention: Enhancing Transformer through Principled Context Control

Xuechen Zhang, Xiangyu Chang, Mingchen Li, Amit Roy-Chowdhury, Jiasi Chen

Understanding the Expressivity and Trainability of Fourier Neural Operator: A Mean-Field Perspective

Takeshi Koshizuka, Masahiro Fujisawa, Yusuke Tanaka, Issei Sato

What do Graph Neural Networks learn? Insights from Tropical Geometry

Tuan Anh Pham, Vikas Garg

Scaling Continuous Latent Variable Models as Probabilistic Integral Circuits

Gennaro Gala, Cassio de Campos, Antonio Vergari, Erik Quaeghebeur

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

Roi Cohen, Konstantin Dobler, Eden Biran, Gerard de Melo

Adversarially Robust Dense-Sparse Tradeoffs via Heavy-Hitters

David P. Woodruff, Samson Zhou

Quantum algorithm for large-scale market equilibrium computation

Po-Wei Huang, Patrick Rebentrost

On Convergence of Adam for Stochastic Optimization under Relaxed Assumptions

Yusu Hong, Junhong Lin

Conditioning non-linear and infinite-dimensional diffusion processes

Elizabeth Louise Baker, Gefan Yang, Michael L. Severinsen, Christy Anna Hipsley, Stefan Sommer

Toward Global Convergence of Gradient EM for Over-Paramterized Gaussian Mixture Models

Weihang Xu, Maryam Fazel, Simon S Du, Simon S. Du

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

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

On Sparse Canonical Correlation Analysis

Yongchun Li, Santanu S. Dey, Weijun Xie

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

Jiatong Li, Renjun Hu, Kunzhe Huang, Yan Zhuang, Qi Liu

Score-based 3D molecule generation with neural fields

Matthieu Kirchmeyer, Pedro O. Pinheiro, Saeed Saremi

Layer-Adaptive State Pruning for Deep State Space Models

Minseon Gwak, Seongrok Moon, Joohwan Ko, PooGyeon Park

Are Multiple Instance Learning Algorithms Learnable for Instances?

Jaeseok Jang, Hyuk-Yoon Kwon

Annealed Multiple Choice Learning: Overcoming limitations of Winner-takes-all with annealing

David Perera, Victor Letzelter, Théo Mariotte, Adrien Cortés, Mickaël Chen

Stacking Your Transformers: A Closer Look at Model Growth for Efficient LLM Pre-Training

Wenyu Du, Tongxu Luo, Zihan Qiu, Zeyu Huang, Yikang Shen

CRAG - Comprehensive RAG Benchmark

Xiao Yang, Kai Sun, Hao Xin, Yushi Sun, Nikita Bhalla

FairJob: A Real-World Dataset for Fairness in Online Systems

Mariia Vladimirova, Eustache Diemert, Federico Pavone

ECLipsE: Efficient Compositional Lipschitz Constant Estimation for Deep Neural Networks

Yuezhu Xu, S. Sivaranjani

Fairness in Social Influence Maximization via Optimal Transport

Shubham Chowdhary, Giulia De Pasquale, Nicolas Lanzetti, Ana-Andreea Stoica, Florian Dorfler

Spectral Graph Pruning Against Over-Squashing and Over-Smoothing

Adarsh Jamadandi, Celia Rubio-Madrigal, Rebekka Burkholz

Exploring Context Window of Large Language Models via Decomposed Positional Vectors

Zican Dong, Junyi Li, Xin Men, Wayne Xin Zhao, Bingning Wang

Exactly Minimax-Optimal Locally Differentially Private Sampling

Hyun-Young Park, Shahab Asoodeh, Si-Hyeon Lee

CosAE: Learnable Fourier Series for Image Restoration

Sifei Liu, Shalini De Mello, Jan Kautz

Masked Hard-Attention Transformers Recognize Exactly the Star-Free Languages

Andy Yang, David Chiang, Dana Angluin

Fully Unconstrained Online Learning

Ashok Cutkosky, Zakaria Mhammedi

TSDS: Data Selection for Task-Specific Model Finetuning

Zifan Liu, Amin Karbasi, Theodoros Rekatsinas

DiscoveryWorld: A Virtual Environment for Developing and Evaluating Automated Scientific Discovery Agents

Peter Jansen, Marc-Alexandre Côté, Tushar Khot, Erin Bransom, Bhavana Dalvi Mishra

Semantic Routing via Autoregressive Modeling

Eric Zhao, Pranjal Awasthi, Zhengdao Chen, Sreenivas Gollapudi, Daniel Delling

Spiking Transformer with Experts Mixture

Zhaokun Zhou, Yijie Lu, Yanhao Jia, Kaiwei Che, Jun Niu

Resource-Aware Federated Self-Supervised Learning with Global Class Representations

Mingyi Li, Xiao Zhang, Qi Wang, Tengfei LIU, Ruofan Wu

The Road Less Scheduled

Aaron Defazio, Xingyu (Alice) Yang, Harsh Mehta, Konstantin Mishchenko, Ahmed Khaled

CRAYM: Neural Field Optimization via Camera RAY Matching

Liqiang Lin, Wenpeng Wu, Chi-Wing Fu, Hao Zhang, Hui Huang

Marginal Causal Flows for Validation and Inference

Daniel de Vassimon Manela, Laura Battaglia, Robin J. Evans

Online Budgeted Matching with General Bids

Jianyi Yang, Pengfei Li, Adam Wierman, Shaolei Ren

Text-Infused Attention and Foreground-Aware Modeling for Zero-Shot Temporal Action Detection

Yearang Lee, Ho-Joong Kim, Seong-Whan Lee

Classification Diffusion Models: Revitalizing Density Ratio Estimation

Shahar Yadin, Noam Elata, Tomer Michaeli

Open-Book Neural Algorithmic Reasoning

Hefei Li, Chao Peng, Chenyang Xu, Zhengfeng Yang

Online Relational Inference for Evolving Multi-agent Interacting Systems

Beomseok Kang, Priyabrata Saha, Sudarshan Sharma, Biswadeep Chakraborty, Saibal Mukhopadhyay

LIVE: Learnable In-Context Vector for Visual Question Answering

Yingzhe Peng, Chenduo Hao, Xinting Hu, Jiawei Peng, Xin Geng

Deep Graph Mating

Yongcheng Jing, Seok-Hee Hong, Dacheng Tao

A Recipe for Charge Density Prediction

Xiang Fu, Andrew Rosen, Kyle Bystrom, Rui Wang, Albert Musaelian

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

Puze Liu, Jonas Günster, Niklas Funk, Simon Gröger, Dong Chen

PrivAuditor: Benchmarking Data Protection Vulnerabilities in LLM Adaptation Techniques

Derui Zhu, Dingfan Chen, Xiongfei Wu, Jiahui Geng, Zhuo Li

Understanding Representation of Deep Equilibrium Models from Neural Collapse Perspective

Haixiang Sun, Ye Shi

UKnow: A Unified Knowledge Protocol with Multimodal Knowledge Graph Datasets for Reasoning and Vision-Language Pre-Training

Biao Gong, Shuai Tan, Yutong Feng, Xiaoying Xie, Yuyuan Li

Graph Diffusion Policy Optimization

Yijing Liu, Chao Du, Tianyu Pang, Chongxuan Li, Min Lin

HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning

Chunlin Tian, Zhan Shi, Zhijiang Guo, Li Li, Cheng-Zhong Xu

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

Yawar Siddiqui, Tom Monnier, Filippos Kokkinos, Mahendra Kariya, Yanir Kleiman

Look, Listen, and Answer: Overcoming Biases for Audio-Visual Question Answering

Jie Ma, Min Hu, Pinghui Wang, Wangchun Sun, Lingyun Song

LoFiT: Localized Fine-tuning on LLM Representations

Fangcong Yin, Xi Ye, Greg Durrett

Clustering then Propagation: Select Better Anchors for Knowledge Graph Embedding

Ke Liang, Yue Liu, Hao Li, Lingyuan Meng, Suyuan Liu

Continual Counting with Gradual Privacy Expiration

Joel Daniel Andersson, Monika Henzinger, Rasmus Pagh, Teresa Anna Steiner, Jalaj Upadhyay

CHASE: Learning Convex Hull Adaptive Shift for Skeleton-based Multi-Entity Action Recognition

Yuhang Wen, Mengyuan Liu, Songtao Wu, Beichen Ding

GraphMETRO: Mitigating Complex Graph Distribution Shifts via Mixture of Aligned Experts

Shirley Wu, Kaidi Cao, Bruno Ribeiro, James Zou, Jure Leskovec

Overcoming Brittleness in Pareto-Optimal Learning Augmented Algorithms

Alex Elenter, Spyros Angelopoulos, Christoph Dürr, Yanni Lefki

A Unified Principle of Pessimism for Offline Reinforcement Learning under Model Mismatch

Yue Wang, Zhongchang Sun, Shaofeng Zou

VLKEB: A Large Vision-Language Model Knowledge Editing Benchmark

Han Huang, Haitian Zhong, Tao Yu, Qiang Liu, Shu Wu