NeurIPS 2024

4,493 papers

SubjECTive-QA: Measuring Subjectivity in Earnings Call Transcripts' QA Through Six-Dimensional Feature Analysis

Huzaifa Pardawala, Siddhant Sukhani, Agam Shah, Veer Kejriwal, Abhishek Pillai

MeshFormer : High-Quality Mesh Generation with 3D-Guided Reconstruction Model

Minghua Liu, Chong Zeng, Xinyue Wei, Ruoxi Shi, Linghao Chen

DFA-GNN: Forward Learning of Graph Neural Networks by Direct Feedback Alignment

Gongpei Zhao, Tao Wang, Congyan Lang, Yi Jin, Yidong Li

An engine not a camera: Measuring performative power of online search

Celestine Mendler-Dünner, Gabriele Carovano, Moritz Hardt

Learning World Models for Unconstrained Goal Navigation

Yuanlin Duan, Wensen Mao, He Zhu

OpenSatMap: A Fine-grained High-resolution Satellite Dataset for Large-scale Map Construction

Hongbo Zhao, Lue Fan, Yuntao Chen, Haochen Wang, Yuran Yang

Private Stochastic Convex Optimization with Heavy Tails: Near-Optimality from Simple Reductions

Hilal Asi, Daogao Liu, Kevin Tian

Optical Diffusion Models for Image Generation

Ilker Oguz, Niyazi Ulas Dinc, Mustafa Yildirim, Junjie Ke, Innfarn Yoo

Validating Climate Models with Spherical Convolutional Wasserstein Distance

Robert C. Garrett, Trevor Harris, Zhuo Wang, Bo Li

EGODE: An Event-attended Graph ODE Framework for Modeling Rigid Dynamics

Jingyang Yuan, Gongbo Sun, Zhiping Xiao, Hang Zhou, Xiao Luo

Identifiability Analysis of Linear ODE Systems with Hidden Confounders

Yuanyuan Wang, Biwei Huang, Wei Huang, Xi Geng, Mingming Gong

Swift Sampler: Efficient Learning of Sampler by 10 Parameters

Jiawei Yao, Chuming Li, Canran Xiao

Efficient LLM Scheduling by Learning to Rank

Yichao Fu, Siqi Zhu, Runlong Su, Aurick Qiao, Ion Stoica

OnlineTAS: An Online Baseline for Temporal Action Segmentation

Qing Zhong, Guodong Ding, Angela Yao

Robust Offline Active Learning on Graphs

Yuanchen Wu, Yubai Yuan

Self-Guided Masked Autoencoder

Jeongwoo Shin, Inseo Lee, Junho Lee, Joonseok Lee

Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference

Benjamin Eysenbach, Vivek Myers, Ruslan Salakhutdinov, Sergey Levine

CLAVE: An Adaptive Framework for Evaluating Values of LLM Generated Responses

Jing Yao, Xiaoyuan Yi, Xing Xie

Aligning Audio-Visual Joint Representations with an Agentic Workflow

Shentong Mo, Yibing Song

Continual learning with the neural tangent ensemble

Ari S. Benjamin, Christian Pehle, Kyle Daruwalla

Black-Box Forgetting

Yusuke Kuwana, Yuta Goto, Takashi Shibata, Go Irie

Diffusion for World Modeling: Visual Details Matter in Atari

Eloi Alonso, Adam Jelley, Vincent Micheli, Anssi Kanervisto, Amos Storkey

Neural network learns low-dimensional polynomials with SGD near the information-theoretic limit

Jason D. Lee, Kazusato Oko, Taiji Suzuki, Denny Wu

Assemblage: Automatic Binary Dataset Construction for Machine Learning

Chang Liu, Rebecca Saul, Yihao Sun, Edward Raff, Maya Fuchs

Navigating Chemical Space with Latent Flows

Guanghao Wei, Yining Huang, Chenru Duan, Yue Song, Yuanqi Du

Reconstruction of Manipulated Garment with Guided Deformation Prior

Ren Li, Corentin Dumery, Zhantao Deng, Pascal Fua

GrounDiT: Grounding Diffusion Transformers via Noisy Patch Transplantation

Phillip Y. Lee, Taehoon Yoon, Minhyuk Sung

Conformalized Multiple Testing after Data-dependent Selection

Xiaoning Wang, Yuyang Huo, Liuhua Peng, Changliang Zou

Provably Efficient Reinforcement Learning with Multinomial Logit Function Approximation

Yu-Jie Zhang, Peng Zhao, Zhi-Hua Zhou, Longfei Li, Long-Fei Li

Muharaf: Manuscripts of Handwritten Arabic Dataset for Cursive Text Recognition

Mehreen Saeed, Adrian Chan, Anupam Mijar, Joseph Moukarzel, Georges Habchi

Unified Domain Generalization and Adaptation for Multi-View 3D Object Detection

Gyusam Chang, Jiwon Lee, Donghyun Kim, Dongwook Lee, Daehyun Ji

Mixture of Nested Experts: Adaptive Processing of Visual Tokens

Gagan Jain, Nidhi Hegde, Aditya Kusupati, Arsha Nagrani, Shyamal Buch

Where Do Large Learning Rates Lead Us?

Ildus Sadrtdinov, Maxim Kodryan, Eduard Pokonechny, Ekaterina Lobacheva, Dmitry Vetrov

Towards Unsupervised Model Selection for Domain Adaptive Object Detection

Hengfu Yu, Jinhong Deng, Wen Li, Lixin Duan

Sample and Computationally Efficient Robust Learning of Gaussian Single-Index Models

Puqian Wang, Nikos Zarifis, Ilias Diakonikolas, Jelena Diakonikolas

Forgetting, Ignorance or Myopia: Revisiting Key Challenges in Online Continual Learning

Xinrui Wang, Chuanxing Geng, Wenhai Wan, Shao-Yuan Li, Songcan Chen

One Sample Fits All: Approximating All Probabilistic Values Simultaneously and Efficiently

Weida Li, Yaoliang Yu

Train-Attention: Meta-Learning Where to Focus in Continual Knowledge Learning

Yeongbin Seo, Dongha Lee, Jinyoung Yeo

Algorithmic progress in language models

Anson Ho, Tamay Besiroglu, Ege Erdil, David Owen, Robi Rahman

Teach Better or Show Smarter? On Instructions and Exemplars in Automatic Prompt Optimization

Xingchen Wan, Ruoxi Sun, Hootan Nakhost, Sercan Ö. Arık

Vision-Language Models are Strong Noisy Label Detectors

Tong Wei, Hao-Tian Li, Chun-Shu Li, Jiang-Xin Shi, Yu-feng Li

From News to Forecast: Integrating Event Analysis in LLM-Based Time Series Forecasting with Reflection

Xinlei Wang, Maike Feng, Jing Qiu, Jinjin Gu, Junhua Zhao

To Believe or Not to Believe Your LLM: Iterative Prompting for Estimating Epistemic Uncertainty

Yasin Abbasi Yadkori, Ilja Kuzborskij, András György, Csaba Szepesvári

A probability contrastive learning framework for 3D molecular representation learning

Jiayu Qin, Jian Chen, Rohan Sharma, Jingchen Sun, Changyou Chen

The Price of Implicit Bias in Adversarially Robust Generalization

Nikolaos Tsilivis, Natalie S. Frank, Nathan Srebro, Julia Kempe

Challenges of Generating Structurally Diverse Graphs

Fedor Velikonivtsev, Mikhail Mironov, Liudmila Prokhorenkova

Learning De-Biased Representations for Remote-Sensing Imagery

Zichen Tian, Zhaozheng Chen, Qianru Sun

A Cat Is A Cat (Not A Dog!): Unraveling Information Mix-ups in Text-to-Image Encoders through Causal Analysis and Embedding Optimization

Chieh-Yun Chen, Chiang Tseng, Li-Wu Tsao, Hong-Han Shuai

Model-based Diffusion for Trajectory Optimization

Chaoyi Pan, Zeji Yi, Guanya Shi, Guannan Qu

The Multimodal Universe: Enabling Large-Scale Machine Learning with 100 TB of Astronomical Scientific Data

Eirini Angeloudi, Jeroen Audenaert, Micah Bowles, Benjamin M. Boyd, David Chemaly

CoIN: A Benchmark of Continual Instruction Tuning for Multimodel Large Language Models

Cheng Chen, Junchen Zhu, Xu Luo, Jingkuan Song, Lianli Gao

Local Curvature Smoothing with Stein's Identity for Efficient Score Matching

Genki Osada, Makoto Shing, Takashi Nishide

Rethinking Exploration in Reinforcement Learning with Effective Metric-Based Exploration Bonus

Yiming Wang, Kaiyan Zhao, Furui Liu, Leong Hou U

Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models

Yuancheng Xu, Jiarui Yao, Manli Shu, Yanchao Sun, Zichu Wu

Initializing Services in Interactive ML Systems for Diverse Users

Avinandan Bose, Mihaela Curmei, Daniel L. Jiang, Jamie Morgenstern, Sarah Dean

No-Regret Learning for Fair Multi-Agent Social Welfare Optimization

Mengxiao Zhang, Ramiro Deo-Campo Vuong, Haipeng Luo

Generalizable and Animatable Gaussian Head Avatar

Xuangeng Chu, Tatsuya Harada

EvoCodeBench: An Evolving Code Generation Benchmark with Domain-Specific Evaluations

Jia Li, Ge Li, Xuanming Zhang, YunFei Zhao, Yihong Dong

Functionally Constrained Algorithm Solves Convex Simple Bilevel Problem

Huaqing Zhang, Lesi Chen, Jing Xu, Jingzhao Zhang

DeltaDEQ: Exploiting Heterogeneous Convergence for Accelerating Deep Equilibrium Iterations

Zuowen Wang, Longbiao Cheng, Pehuen Moure, Niklas Hahn, Shih-Chii Liu

MGF: Mixed Gaussian Flow for Diverse Trajectory Prediction

Jiahe Chen, Jinkun Cao, Dahua Lin, Kris Kitani, Jiangmiao Pang

Understanding Generalizability of Diffusion Models Requires Rethinking the Hidden Gaussian Structure

Xiang Li, Yixiang Dai, Qing Qu

NYU CTF Bench: A Scalable Open-Source Benchmark Dataset for Evaluating LLMs in Offensive Security

Minghao Shao, Sofija Jancheska, Meet Udeshi, Brendan Dolan-Gavitt, Haoran Xi

BIGOS V2 Benchmark for Polish ASR: Curated Datasets and Tools for Reproducible Evaluation

Michał Junczyk

No-Regret M${}^{\natural}$-Concave Function Maximization: Stochastic Bandit Algorithms and NP-Hardness of Adversarial Full-Information Setting

Taihei Oki, Shinsaku Sakaue

Flow Priors for Linear Inverse Problems via Iterative Corrupted Trajectory Matching

Yasi Zhang, Peiyu Yu, Yaxuan Zhu, Yingshan Chang, Feng Gao

Learning on Large Graphs using Intersecting Communities

Ben Finkelshtein, İsmail İlkan Ceylan, Michael Bronstein, Ron Levie

MSA Generation with Seqs2Seqs Pretraining: Advancing Protein Structure Predictions

Le Zhang, Jiayang Chen, Tao Shen, Yu Li, Siqi Sun

A Metalearned Neural Circuit for Nonparametric Bayesian Inference

Jake C. Snell, Gianluca M. Bencomo, Thomas L. Griffiths

PANORAMIA: Privacy Auditing of Machine Learning Models without Retraining

Mishaal Kazmi, Hadrien Lautraite, Alireza Akbari, Qiaoyue Tang, Mauricio Soroco

Vript: A Video Is Worth Thousands of Words

Dongjie Yang, Suyuan Huang, Chengqiang Lu, Xiaodong Han, Haoxin Zhang

Vitron: A Unified Pixel-level Vision LLM for Understanding, Generating, Segmenting, Editing

Hao Fei, Shengqiong Wu, Hanwang Zhang, Tat-Seng Chua, Shuicheng Yan

Graph Neural Flows for Unveiling Systemic Interactions Among Irregularly Sampled Time Series

Giangiacomo Mercatali, Andre Freitas, Jie Chen

Enhancing Graph Transformers with Hierarchical Distance Structural Encoding

Yuankai Luo, Hongkang Li, Lei Shi, Xiao-ming Wu

Magnet: We Never Know How Text-to-Image Diffusion Models Work, Until We Learn How Vision-Language Models Function

Chenyi Zhuang, Ying Hu, Pan Gao

Geometric-Averaged Preference Optimization for Soft Preference Labels

Hiroki Furuta, Kuang-Huei Lee, Shixiang Shane Gu, Yutaka Matsuo, Aleksandra Faust

ODGS: 3D Scene Reconstruction from Omnidirectional Images with 3D Gaussian Splattings

Suyoung Lee, Jaeyoung Chung, Jaeyoo Huh, Kyoung Mu Lee

LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning

Rui Pan, Xiang Liu, SHIZHE DIAO, Renjie Pi, Jipeng Zhang

Mixture of neural fields for heterogeneous reconstruction in cryo-EM

Axel Levy, Rishwanth Raghu, David Shustin, Adele Rui-Yang Peng, Huan Li

Spectral Editing of Activations for Large Language Model Alignment

Yifu Qiu, Zheng Zhao, Yftah Ziser, Anna Korhonen, Edoardo M. Ponti

Contrasting with Symile: Simple Model-Agnostic Representation Learning for Unlimited Modalities

Adriel Saporta, Aahlad Puli, Mark Goldstein, Rajesh Ranganath

SD-Eval: A Benchmark Dataset for Spoken Dialogue Understanding Beyond Words

Junyi Ao, Yuancheng Wang, Xiaohai Tian, Dekun Chen, Jun Zhang

Construction and Application of Materials Knowledge Graph in Multidisciplinary Materials Science via Large Language Model

Yanpeng Ye, Jie Ren, Shaozhou Wang, Yuwei Wan, Imran Razzak

One for All: Multi-Domain Joint Training for Point Cloud Based 3D Object Detection

Zhenyu Wang, Hengshuang Zhao, Shengjin Wang, Ya-Li Li, Yali Li

L4GM: Large 4D Gaussian Reconstruction Model

Jiawei Ren, Kevin Xie, Ashkan Mirzaei, hanxue liang, xiaohui zeng

UniAudio 1.5: Large Language Model-Driven Audio Codec is A Few-Shot Audio Task Learner

Dongchao Yang, Haohan Guo, Yuanyuan Wang, Rongjie Huang, Xiang Li

GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement Learning

Jaewoo Lee, Sujin Yun, Taeyoung Yun, Jinkyoo Park

Single-Loop Stochastic Algorithms for Difference of Max-Structured Weakly Convex Functions

Quanqi Hu, Qi Qi, Zhaosong Lu, Tianbao Yang

Local and Adaptive Mirror Descents in Extensive-Form Games

Côme Fiegel, Pierre Menard, Tadashi Kozuno, Rémi Munos, Vianney Perchet

Causal language modeling can elicit search and reasoning capabilities on logic puzzles

Kulin Shah, Nishanth Dikkala, Xin Wang, Rina Panigrahy

Can Simple Averaging Defeat Modern Watermarks?

Pei Yang, Hai Ci, Yiren Song, Mike Zheng Shou

DeeR-VLA: Dynamic Inference of Multimodal Large Language Models for Efficient Robot Execution

Yang Yue, Yulin Wang, Bingyi Kang, Yizeng Han, Shenzhi Wang

Parametric model reduction of mean-field and stochastic systems via higher-order action matching

Jules Berman, Tobias Blickhan, Benjamin Peherstorfer

Deep Submodular Peripteral Networks

Gantavya Bhatt, Arnav M. Das, Jeffrey A. Bilmes

Bayesian Adaptive Calibration and Optimal Design

Rafael Oliveira, Dino Sejdinovic, David Howard, Edwin V. Bonilla

What Variables Affect Out-of-Distribution Generalization in Pretrained Models?

Md Yousuf Harun, Kyungbok Lee, Jhair Gallardo, Giri Krishnan, Christopher Kanan

Clustering with Non-adaptive Subset Queries

Hadley Black, Euiwoong Lee, Arya Mazumdar, Barna Saha

Autoregressive Image Generation without Vector Quantization

Tianhong Li, Yonglong Tian, He Li, Mingyang Deng, Kaiming He

Diversity Is Not All You Need: Training A Robust Cooperative Agent Needs Specialist Partners

Rujikorn Charakorn, Poramate Manoonpong, Nat Dilokthanakul

Precipitation Downscaling with Spatiotemporal Video Diffusion

Prakhar Srivastava, Ruihan Yang, Gavin Kerrigan, Gideon Dresdner, Jeremy McGibbon