NeurIPS 2024

4,493 papers

QGFN: Controllable Greediness with Action Values

Elaine Lau, Stephen Zhewen Lu, Ling Pan, Doina Precup, Emmanuel Bengio

Stability and Generalizability in SDE Diffusion Models with Measure-Preserving Dynamics

Weitong ZHANG, Chengqi Zang, Liu Li, Sarah Cechnicka, Cheng Ouyang

On the Comparison between Multi-modal and Single-modal Contrastive Learning

Wei Huang, Andi Han, Yongqiang Chen, Yuan Cao, Zhiqiang Xu

FedLPA: One-shot Federated Learning with Layer-Wise Posterior Aggregation

Xiang Liu, Liangxi Liu, Feiyang YE, Yunheng Shen, Xia Li

Voxel Mamba: Group-Free State Space Models for Point Cloud based 3D Object Detection

Guowen Zhang, Lue Fan, Chenhang He, Zhen Lei, Lei Zhang

Lumen: Unleashing Versatile Vision-Centric Capabilities of Large Multimodal Models

Yang Jiao, Shaoxiang Chen, Zequn Jie, Jingjing Chen, Lin Ma

TorchSpatial: A Location Encoding Framework and Benchmark for Spatial Representation Learning

Nemin Wu, Qian Cao, Zhangyu Wang, Zeping Liu, Yanlin Qi

Mesa-Extrapolation: A Weave Position Encoding Method for Enhanced Extrapolation in LLMs

Xin Ma, Yang Liu, Jingjing Liu, Xiaoxu Ma

Classifier Clustering and Feature Alignment for Federated Learning under Distributed Concept Drift

Junbao Chen, Jingfeng Xue, Yong Wang, Zhenyan Liu, Lu Huang

The Implicit Bias of Gradient Descent on Separable Multiclass Data

Hrithik Ravi, Clayton Scott, Daniel Soudry, Yutong Wang

Multimodal Large Language Models Make Text-to-Image Generative Models Align Better

Xun Wu, Shaohan Huang, Guolong Wang, Jing Xiong, Furu Wei

The surprising efficiency of temporal difference learning for rare event prediction

Xiaoou Cheng, Jonathan Weare

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

Xun Zhu, Ying Hu, Fanbin Mo, Miao Li, Ji Wu

Segment Any Change

Zhuo Zheng, Yanfei Zhong, Liangpei Zhang, Stefano Ermon

Get rich quick: exact solutions reveal how unbalanced initializations promote rapid feature learning

Daniel Kunin, Allan Raventós, Clémentine Dominé, Feng Chen, David Klindt

Transforming Vision Transformer: Towards Efficient Multi-Task Asynchronous Learner

Hanwen Zhong, JIAXIN CHEN, Yutong Zhang, Di Huang, Yunhong Wang

UPS: Unified Projection Sharing for Lightweight Single-Image Super-resolution and Beyond

Kun Zhou, Xinyu Lin, Zhonghang Liu, Xiaoguang Han, Jiangbo Lu

Aggregate-and-Adapt Natural Language Prompts for Downstream Generalization of CLIP

Chen Huang, Skyler Seto, Samira Abnar, David Grangier, Navdeep Jaitly

Decomposing and Interpreting Image Representations via Text in ViTs Beyond CLIP

Sriram Balasubramanian, Samyadeep Basu, Soheil Feizi

Improved off-policy training of diffusion samplers

Marcin Sendera, Minsu Kim, Sarthak Mittal, Pablo Lemos, Luca Scimeca

Nearest Neighbor Speculative Decoding for LLM Generation and Attribution

Minghan Li, Xilun Chen, Ari Holtzman, Beidi Chen, Jimmy Lin

3D Gaussian Splatting as Markov Chain Monte Carlo

Shakiba Kheradmand, Daniel Rebain, Gopal Sharma, Weiwei Sun, Yang-Che Tseng

Towards Dynamic Message Passing on Graphs

Junshu Sun, Chenxue Yang, Xiangyang Ji, Qingming Huang, Shuhui Wang

Towards Harmless Rawlsian Fairness Regardless of Demographic Prior

Xuanqian Wang, Jing Li, Ivor W. Tsang, Yew Soon Ong, Yew-Soon Ong

Multi-hypotheses Conditioned Point Cloud Diffusion for 3D Human Reconstruction from Occluded Images

Donghwan Kim, Tae-kyun Kim

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

zheng Yu, Yaohua Wang, Siying Cui, Aixi Zhang, Wei-Long Zheng

Graph-enhanced Optimizers for Structure-aware Recommendation Embedding Evolution

Cong Xu, Jun Wang, Jianyong Wang, Wei Zhang

Long-form factuality in large language models

Jerry Wei, Chengrun Yang, Xinying Song, Yifeng Lu, Nathan Hu

Logarithmic Smoothing for Pessimistic Off-Policy Evaluation, Selection and Learning

Otmane Sakhi, Imad Aouali, Pierre Alquier, Nicolas Chopin

Mitigating Backdoor Attack by Injecting Proactive Defensive Backdoor

Shaokui Wei, Hongyuan Zha, Baoyuan Wu

Non-asymptotic Convergence of Training Transformers for Next-token Prediction

Ruiquan Huang, Yingbin Liang, Jing Yang

HiCoM: Hierarchical Coherent Motion for Dynamic Streamable Scenes with 3D Gaussian Splatting

Qiankun Gao, Jiarui Meng, Chengxiang Wen, Jie Chen, Jian Zhang

Bandits with Ranking Feedback

Davide Maran, Francesco Bacchiocchi, Francesco Emanuele Stradi, Matteo Castiglioni, Nicola Gatti

IKEA Manuals at Work: 4D Grounding of Assembly Instructions on Internet Videos

Yunong Liu, Cristobal Eyzaguirre, Manling Li, Shubh Khanna, Juan Carlos Niebles

V-PETL Bench: A Unified Visual Parameter-Efficient Transfer Learning Benchmark

Yi Xin, Siqi Luo, Xuyang Liu, Yuntao Du, Haodi Zhou

Towards a "Universal Translator" for Neural Dynamics at Single-Cell, Single-Spike Resolution

Yizi Zhang, Yanchen Wang, Donato M. Jiménez-Benetó, Zixuan Wang, Mehdi Azabou

Dynamic 3D Gaussian Fields for Urban Areas

Tobias Fischer, Jonas Kulhanek, Samuel Rota Bulò, Lorenzo Porzi, Marc Pollefeys

Axioms for AI Alignment from Human Feedback

Luise Ge, Daniel Halpern, Evi Micha, Itai Shapira, Yevgeniy Vorobeychik

Dissecting the Failure of Invariant Learning on Graphs

Qixun Wang, Yifei Wang, Yisen Wang, Xianghua Ying

FFAM: Feature Factorization Activation Map for Explanation of 3D Detectors

Shuai Liu, Boyang Li, Zhiyu Fang, Mingyue Cui, Kai Huang

A scalable generative model for dynamical system reconstruction from neuroimaging data

Eric Volkmann, Alena Brändle, Daniel Durstewitz, Georgia Koppe

PCP-MAE: Learning to Predict Centers for Point Masked Autoencoders

Xiangdong Zhang, Shaofeng Zhang, Junchi Yan

Balancing Context Length and Mixing Times for Reinforcement Learning at Scale

Matthew Riemer, Khimya Khetarpal, Janarthanan Rajendran, Sarath Chandar

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

Yong-Hyun Park, Sangdoo Yun, Jin-Hwa Kim, Junho Kim, Geonhui Jang

GenWarp: Single Image to Novel Views with Semantic-Preserving Generative Warping

Junyoung Seo, Kazumi Fukuda, Takashi Shibuya, Takuya Narihira, Naoki Murata

Lighting Every Darkness with 3DGS: Fast Training and Real-Time Rendering for HDR View Synthesis

Xin Jin, Pengyi Jiao, Zheng-Peng Duan, Xingchao Yang, Chongyi Li

Tetrahedron Splatting for 3D Generation

Chun Gu, Zeyu Yang, Zijie Pan, Xiatian Zhu, Li Zhang

Automated Label Unification for Multi-Dataset Semantic Segmentation with GNNs

Rong Ma, Jie Chen, Xiangyang Xue, Jian Pu

SongCreator: Lyrics-based Universal Song Generation

Shun Lei, Yixuan Zhou, Boshi Tang, Max W. Y. Lam, Feng Liu

Learning from Snapshots of Discrete and Continuous Data Streams

Pramith Devulapalli, Steve Hanneke

MambaSCI: Efficient Mamba-UNet for Quad-Bayer Patterned Video Snapshot Compressive Imaging

Zhenghao Pan, Haijin Zeng, Jiezhang Cao, Yongyong Chen, Kai Zhang

Reference Trustable Decoding: A Training-Free Augmentation Paradigm for Large Language Models

Luohe Shi, Yao Yao, Zuchao Li, Lefei Zhang, Hai Zhao

Du-IN: Discrete units-guided mask modeling for decoding speech from Intracranial Neural signals

Hui Zheng, Hai-Teng Wang, Wei-Bang Jiang, Zhong-Tao Chen, LI He

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

Yanyan Huang, Weiqin Zhao, Yihang Chen, Yu Fu, Lequan Yu

AutoPSV: Automated Process-Supervised Verifier

Jianqiao Lu, Zhiyang Dou, Hongru Wang, Zeyu Cao, Jianbo Dai

Revive Re-weighting in Imbalanced Learning by Density Ratio Estimation

Jiaan Luo, Feng Hong, Jiangchao Yao, Bo Han, Ya Zhang

GenAI Arena: An Open Evaluation Platform for Generative Models

Dongfu Jiang, Max Ku, Tianle Li, Yuansheng Ni, Shizhuo Sun

DRIP: Unleashing Diffusion Priors for Joint Foreground and Alpha Prediction in Image Matting

Xiaodi Li, Zongxin Yang, Ruijie Quan, Yi Yang

Meta-DiffuB: A Contextualized Sequence-to-Sequence Text Diffusion Model with Meta-Exploration

Yun-Yen Chuang, Hung-Min Hsu, Kevin Lin, Chen-Sheng Gu, Ling Zhen Li

Graph Neural Networks Need Cluster-Normalize-Activate Modules

Arseny Skryagin, Felix Divo, Mohammad Amin Ali, Devendra Singh Dhami, Kristian Kersting

MutaPLM: Protein Language Modeling for Mutation Explanation and Engineering

Yizhen Luo, Zikun Nie, Massimo Hong, Suyuan Zhao, Hao Zhou

A Boosting-Type Convergence Result for AdaBoost.MH with Factorized Multi-Class Classifiers

Xin Zou, Zhengyu Zhou, Jingyuan Xu, Weiwei Liu

CooHOI: Learning Cooperative Human-Object Interaction with Manipulated Object Dynamics

Jiawei Gao, Ziqin Wang, Zeqi Xiao, Jingbo Wang, Tai WANG

Discrete-state Continuous-time Diffusion for Graph Generation

Zhe Xu, Ruizhong Qiu, Yuzhong Chen, Huiyuan Chen, Xiran Fan

Langevin Unlearning: A New Perspective of Noisy Gradient Descent for Machine Unlearning

Eli Chien, Haoyu Wang, Ziang Chen, Pan Li

Weak-eval-Strong: Evaluating and Eliciting Lateral Thinking of LLMs with Situation Puzzles

Qi Chen, Bowen Zhang, Gang Wang, Qi Wu

OctreeOcc: Efficient and Multi-Granularity Occupancy Prediction Using Octree Queries

Yuhang Lu, Xinge ZHU, Tai WANG, Yuexin Ma

BehaviorGPT: Smart Agent Simulation for Autonomous Driving with Next-Patch Prediction

Zikang Zhou, Haibo Hu, Xinhong Chen, Jianping Wang, Nan Guan

Mixture of In-Context Experts Enhance LLMs' Long Context Awareness

Hongzhan Lin, Ang Lv, Yuhan Chen, Chen Zhu, Yang Song

Credal Deep Ensembles for Uncertainty Quantification

Kaizheng Wang, Fabio Cuzzolin, Shireen Kudukkil Manchingal, Keivan Shariatmadar, David Moens

Semantic Feature Learning for Universal Unsupervised Cross-Domain Retrieval

Lixu Wang, Xinyu Du, Qi Zhu

Compact Proofs of Model Performance via Mechanistic Interpretability

Jason Gross, Rajashree Agrawal, Thomas Kwa, Euan Ong, Chun Hei Yip

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

Yubin Kim, Chanwoo Park, Hyewon Jeong, Yik Siu Chan, Xuhai Xu

Learning with Fitzpatrick Losses

Seta Rakotomandimby, Jean-Philippe Chancelier, Michel De Lara, Mathieu Blondel

Explaining Datasets in Words: Statistical Models with Natural Language Parameters

Ruiqi Zhong, Heng Wang, Dan Klein, Jacob Steinhardt

Dendritic Integration Inspired Artificial Neural Networks Capture Data Correlation

Chongming Liu, Jingyang Ma, Songting Li, Douglas Zhou

Humanoid Locomotion as Next Token Prediction

Ilija Radosavovic, Bike Zhang, Baifeng Shi, Jathushan Rajasegaran, Sarthak Kamat

RegExplainer: Generating Explanations for Graph Neural Networks in Regression Tasks

Jiaxing Zhang, Zhuomin Chen, Hao Mei, Longchao Da, Dongsheng Luo

Energy-Based Modelling for Discrete and Mixed Data via Heat Equations on Structured Spaces

Tobias Schröder, Zijing Ou, Yingzhen Li, Andrew Duncan

Bridging the Divide: Reconsidering Softmax and Linear Attention

Dongchen Han, Yifan Pu, Zhuofan Xia, Yizeng Han, Xuran Pan

Decision-Focused Learning with Directional Gradients

Vishal Gupta, Michael Huang

UnSeg: One Universal Unlearnable Example Generator is Enough against All Image Segmentation

Ye Sun, Hao Zhang, Tiehua Zhang, Xingjun Ma, Yu-Gang Jiang

Learnability of high-dimensional targets by two-parameter models and gradient flow

Dmitry Yarotsky

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

Yiqi Jiang, Hakki O. Akengin, Ji Zhou, Mehmet A. Aslihak, Yang Li

VLG-CBM: Training Concept Bottleneck Models with Vision-Language Guidance

Divyansh Srivastava, Ge Yan, Tsui-Wei Weng

Is Value Learning Really the Main Bottleneck in Offline RL?

Seohong Park, Kevin Frans, Sergey Levine, Aviral Kumar

Replicability in Learning: Geometric Partitions and KKM-Sperner Lemma

Jason Vander Woude, Peter Dixon, A. Pavan, Jamie Radcliffe, N. V. Vinodchandran

Lambda: Learning Matchable Prior For Entity Alignment with Unlabeled Dangling Cases

Hang Yin, Liyao Xiang, Dong Ding, Yuheng He, Yihan Wu

Connectivity-Driven Pseudo-Labeling Makes Stronger Cross-Domain Segmenters

Dong Zhao, Qi Zang, Shuang Wang, Nicu Sebe, Zhun Zhong

Twin-Merging: Dynamic Integration of Modular Expertise in Model Merging

Zhenyi Lu, Chenghao Fan, Wei Wei, Xiaoye Qu, Dangyang Chen

Hierarchical Federated Learning with Multi-Timescale Gradient Correction

Wenzhi Fang, Dong-Jun Han, Evan Chen, Shiqiang Wang, Christopher G. Brinton

Beyond Single Stationary Policies: Meta-Task Players as Naturally Superior Collaborators

Haoming Wang, Zhaoming Tian, Yunpeng Song, Xiangliang Zhang, Zhongmin Cai

Transfer Learning for Latent Variable Network Models

Akhil Jalan, Arya Mazumdar, Soumendu Sundar Mukherjee, Purnamrita Sarkar

Animal-Bench: Benchmarking Multimodal Video Models for Animal-centric Video Understanding

Yinuo Jing, Ruxu Zhang, Kongming Liang, Yongxiang Li, Zhongjiang He

Overcoming the Sim-to-Real Gap: Leveraging Simulation to Learn to Explore for Real-World RL

Andrew Wagenmaker, Kevin Huang, Liyiming Ke, Kevin Jamieson, Abhishek Gupta

Achieving Õ(1/ε) Sample Complexity for Constrained Markov Decision Process

Jiashuo Jiang, Yinyu Ye

Online Weighted Paging with Unknown Weights

Orin Levy, Noam Touitou, Aviv Rosenberg

PeRFlow: Piecewise Rectified Flow as Universal Plug-and-Play Accelerator

Hanshu Yan, Xingchao Liu, Jiachun Pan, Jun Hao Liew, Qiang Liu

Unified Mechanism-Specific Amplification by Subsampling and Group Privacy Amplification

Jan Schuchardt, Mihail Stoian, Arthur Kosmala, Stephan Günnemann

Learning from higher-order correlations, efficiently: hypothesis tests, random features, and neural networks

Eszter Székely, Lorenzo Bardone, Federica Gerace, Sebastian Goldt