NeurIPS 2024

4,493 papers

Beyond Redundancy: Information-aware Unsupervised Multiplex Graph Structure Learning

Zhixiang Shen, Shuo Wang, Zhao Kang

On Statistical Rates and Provably Efficient Criteria of Latent Diffusion Transformers (DiTs)

Jerry Yao-Chieh Hu, Weimin Wu, Zhuoru Li, Sophia Pi, Zhao Song

Fit for our purpose, not yours: Benchmark for a low-resource, Indigenous language

Suzanne Duncan, Gianna Leoni, Lee Steven, Keoni Mahelona, Peter-Lucas Jones

EPIC: Effective Prompting for Imbalanced-Class Data Synthesis in Tabular Data Classification via Large Language Models

Jinhee Kim, Jaegul Choo, Tae Sung Kim, Taesung Kim

Towards Croppable Implicit Neural Representations

Maor Ashkenazi, Eran Treister

Universal Online Convex Optimization with $1$ Projection per Round

Wenhao Yang, Yibo Wang, Peng Zhao, Lijun Zhang

Evidence of Learned Look-Ahead in a Chess-Playing Neural Network

Erik Jenner, Shreyas Kapur, Vasil Georgiev, Cameron Allen, Scott Emmons

Towards Human-AI Complementarity with Prediction Sets

Giovanni De Toni, Nastaran Okati, Suhas Thejaswi, Eleni Straitouri, Manuel Gomez Rodriguez

Frequency Adaptive Normalization For Non-stationary Time Series Forecasting

Weiwei Ye, Songgaojun Deng, Qiaosha Zou, Ning Gui

Computation-Aware Gaussian Processes: Model Selection And Linear-Time Inference

Jonathan Wenger, Kaiwen Wu, Philipp Hennig, Jacob R. Gardner, Geoff Pleiss

Do causal predictors generalize better to new domains?

Vivian Y. Nastl, Moritz Hardt

Estimating the Hallucination Rate of Generative AI

Andrew Jesson, Nicolas Beltran-Velez, Quentin Chu, Sweta Karlekar, Jannik Kossen

Learning an Actionable Discrete Diffusion Policy via Large-Scale Actionless Video Pre-Training

Haoran He, Chenjia Bai, Ling Pan, Weinan Zhang, Bin Zhao

Generated and Pseudo Content guided Prototype Refinement for Few-shot Point Cloud Segmentation

Lili Wei, Congyan Lang, Ziyi Chen, Tao Wang, Yidong Li

Towards Combating Frequency Simplicity-biased Learning for Domain Generalization

Xilin He, Jingyu Hu, Qinliang Lin, Cheng Luo, Weicheng Xie

Delta-CoMe: Training-Free Delta-Compression with Mixed-Precision for Large Language Models

Bowen Ping, Shuo Wang, Hanqing Wang, Xu Han, Yuzhuang Xu

Inverse M-Kernels for Linear Universal Approximators of Non-Negative Functions

Hideaki Kim

Image Understanding Makes for A Good Tokenizer for Image Generation

Luting Wang, Yang Zhao, Zijian Zhang, Jiashi Feng, Si Liu

Toward a Well-Calibrated Discrimination via Survival Outcome-Aware Contrastive Learning

Dongjoon Lee, Hyeryn Park, Changhee Lee

Solving Minimum-Cost Reach Avoid using Reinforcement Learning

Oswin So, Cheng Ge, Chuchu Fan

Seeing the Image: Prioritizing Visual Correlation by Contrastive Alignment

Xin Xiao, Bohong Wu, Jiacong Wang, Chunyuan Li, Xun Zhou

Model-free Low-Rank Reinforcement Learning via Leveraged Entry-wise Matrix Estimation

Stefan Stojanovic, Yassir Jedra, Alexandre Proutiere

Should We Really Edit Language Models? On the Evaluation of Edited Language Models

Qi Li, Xiang Liu, Zhenheng Tang, Peijie Dong, Zeyu Li

The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale

Guilherme Penedo, Hynek Kydlíček, Loubna Ben allal, Anton Lozhkov, Margaret Mitchell

Accelerating Transformers with Spectrum-Preserving Token Merging

Hoai-Chau Tran, Duy M. H. Nguyen, Duy M. Nguyen, TrungTin Nguyen, Ngan Le

On the Parameter Identifiability of Partially Observed Linear Causal Models

Xinshuai Dong, Ignavier Ng, Biwei Huang, Yuewen Sun, Songyao Jin

Language Without Borders: A Dataset and Benchmark for Code-Switching Lip Reading

Xueyi Zhang, Chengwei Zhang, Mingrui Lao, Peng Zhao, Jun Tang

Delving into the Reversal Curse: How Far Can Large Language Models Generalize?

Zhengkai Lin, Zhihang Fu, Kai Liu, Liang Xie, Binbin Lin

Micro-Bench: A Microscopy Benchmark for Vision-Language Understanding

Alejandro Lozano, Jeffrey Nirschl, James Burgess, Sanket Rajan Gupte, Yuhui Zhang

Binarized Diffusion Model for Image Super-Resolution

Zheng Chen, Haotong Qin, Yong Guo, Xiongfei Su, Xin Yuan

SciCode: A Research Coding Benchmark Curated by Scientists

Minyang Tian, Luyu Gao, Shizhuo Dylan Zhang, Xinan Chen, Cunwei Fan

Federated Learning from Vision-Language Foundation Models: Theoretical Analysis and Method

Bikang Pan, Wei Huang, Ye Shi

PrefPaint: Aligning Image Inpainting Diffusion Model with Human Preference

Kendong Liu, Zhiyu Zhu, Chuanhao Li, Hui LIU, Huanqiang Zeng

Zero-to-Hero: Enhancing Zero-Shot Novel View Synthesis via Attention Map Filtering

Ido Sobol, Chenfeng Xu, Or Litany

Towards Efficient and Optimal Covariance-Adaptive Algorithms for Combinatorial Semi-Bandits

Julien Zhou, Pierre Gaillard, Thibaud Rahier, Houssam Zenati, Julyan Arbel

Exponential Quantum Communication Advantage in Distributed Inference and Learning

Dar Gilboa, Hagay Michaeli, Daniel Soudry, Jarrod R. McClean

How to Use Diffusion Priors under Sparse Views?

Qisen Wang, Yifan Zhao, Jiawei Ma, Jia Li

Hierarchical and Density-based Causal Clustering

Kwangho Kim, Jisu KIM, Larry A. Wasserman, Edward H. Kennedy

MV2Cyl: Reconstructing 3D Extrusion Cylinders from Multi-View Images

Eunji Hong, Minh Hieu Nguyen, Mikaela Angelina Uy, Minhyuk Sung

Identifying and Solving Conditional Image Leakage in Image-to-Video Diffusion Model

Min Zhao, Hongzhou Zhu, Chendong Xiang, Kaiwen Zheng, Chongxuan Li

Implicit Regularization Paths of Weighted Neural Representations

Jin-Hong Du, Pratik Patil

Learning Human-like Representations to Enable Learning Human Values

Andrea H. Wynn, Ilia Sucholutsky, Thomas L. Griffiths

Combining Statistical Depth and Fermat Distance for Uncertainty Quantification

Hai-Vy Nguyen, Fabrice Gamboa, Reda CHHAIBI, Sixin Zhang, Serge Gratton

Fast T2T: Optimization Consistency Speeds Up Diffusion-Based Training-to-Testing Solving for Combinatorial Optimization

Yang Li, Jinpei Guo, Runzhong Wang, Hongyuan Zha, Junchi Yan

Using Time-Aware Graph Neural Networks to Predict Temporal Centralities in Dynamic Graphs

Franziska Heeg, Ingo Scholtes

Heavy-Tailed Class Imbalance and Why Adam Outperforms Gradient Descent on Language Models

Frederik Kunstner, Alan Milligan, Robin Yadav, Mark Schmidt, Alberto Bietti

Re-assembling the past: The RePAIR dataset and benchmark for real world 2D and 3D puzzle solving

Theodore Tsesmelis, Luca Palmieri, Marina Khoroshiltseva, Adeela Islam, Gur Elkin

Weight for Robustness: A Comprehensive Approach towards Optimal Fault-Tolerant Asynchronous ML

Tehila Dahan, Kfir Y. Levy

Measuring Dejavu Memorization Efficiently

Narine Kokhlikyan, Bargav Jayaraman, Florian Bordes, Chuan Guo, Kamalika Chaudhuri

On Giant's Shoulders: Effortless Weak to Strong by Dynamic Logits Fusion

Chenghao Fan, Zhenyi Lu, Wei Wei, Jie Tian, Xiaoye Qu

RAGraph: A General Retrieval-Augmented Graph Learning Framework

Xinke Jiang, Rihong Qiu, Yongxin Xu, Wentao Zhang, Yichen Zhu

Mind the Graph When Balancing Data for Fairness or Robustness

Jessica Schrouff, Alexis Bellot, Amal Rannen-Triki, Alan Malek, Isabela Albuquerque

Model Fusion through Bayesian Optimization in Language Model Fine-Tuning

Chaeyun Jang, Hyungi Lee, Jungtaek Kim, Juho Lee

Hints-In-Browser: Benchmarking Language Models for Programming Feedback Generation

Nachiket Kotalwar, Alkis Gotovos, Adish Singla

Tactile DreamFusion: Exploiting Tactile Sensing for 3D Generation

Ruihan Gao, Kangle Deng, Gengshan Yang, Wenzhen Yuan, Jun-Yan Zhu

UQE: A Query Engine for Unstructured Databases

Hanjun Dai, Bethany Yixin Wang, Xingchen Wan, Bo Dai, Sherry Yang

Time-Reversal Provides Unsupervised Feedback to LLMs

Varun Yerram, Rahul Madhavan, Sravanti Addepalli, Arun Suggala, Karthikeyan Shanmugam

ActAnywhere: Subject-Aware Video Background Generation

Boxiao Pan, Zhan Xu, Chun-Hao Paul Huang, Krishna Kumar Singh, Yang Zhou

Protecting Your LLMs with Information Bottleneck

Zichuan Liu, Zefan Wang, Linjie Xu, Jinyu Wang, Lei Song

Adversarially Robust Decision Transformer

Xiaohang Tang, Afonso Marques, Parameswaran Kamalaruban, Ilija Bogunovic

Non-parametric classification via expand-and-sparsify representation

Kaushik Sinha

SubgDiff: A Subgraph Diffusion Model to Improve Molecular Representation Learning

Jiying Zhang, Zijing Liu, Yu Wang, Bin Feng, Yu Li

HOPE: Shape Matching Via Aligning Different K-hop Neighbourhoods

Barakeel Fanseu Kamhoua, Huamin Qu

Self-Taught Recognizer: Toward Unsupervised Adaptation for Speech Foundation Models

Yuchen Hu, Chen Chen, Chao-Han Huck Yang, Chengwei Qin, Pin-Yu Chen

Kermut: Composite kernel regression for protein variant effects

Peter Mørch Groth, Mads Herbert Kerrn, Lars Olsen, Jesper Salomon, Wouter Boomsma

VideoTetris: Towards Compositional Text-to-Video Generation

Ye Tian, Ling Yang, Haotian Yang, Yuan Gao, Yufan Deng

C-GAIL: Stabilizing Generative Adversarial Imitation Learning with Control Theory

Tianjiao Luo, Tim Pearce, Huayu Chen, Jianfei Chen, Jun Zhu

Hamiltonian Monte Carlo Inference of Marginalized Linear Mixed-Effects Models

Jinlin Lai, Justin Domke, Daniel Sheldon

DF40: Toward Next-Generation Deepfake Detection

Zhiyuan Yan, Taiping Yao, Shen Chen, Yandan Zhao, Xinghe Fu

MoLE: Enhancing Human-centric Text-to-image Diffusion via Mixture of Low-rank Experts

Jie Zhu, Yixiong Chen, Mingyu Ding, Ping Luo, Leye Wang

Scalable Neural Network Verification with Branch-and-bound Inferred Cutting Planes

Duo Zhou, Christopher Brix, Grani A Hanasusanto, Huan Zhang

Constrained Sampling with Primal-Dual Langevin Monte Carlo

Luiz F. O. Chamon, Mohammad Reza Karimi, Anna Korba

Global Convergence in Training Large-Scale Transformers

Cheng Gao, Yuan Cao, Zihao Li, Yihan He, Mengdi Wang

MSPE: Multi-Scale Patch Embedding Prompts Vision Transformers to Any Resolution

Wenzhuo LIU, Fei Zhu, Shijie Ma, Cheng-lin Liu

A Critical Evaluation of AI Feedback for Aligning Large Language Models

Archit Sharma, Sedrick Keh, Eric Mitchell, Chelsea Finn, Kushal Arora

Face2QR: A Unified Framework for Aesthetic, Face-Preserving, and Scannable QR Code Generation

Xuehao Cui, Guangyang Wu, Zhenghao Gan, Guangtao Zhai, Xiaohong Liu

Chain of Thoughtlessness? An Analysis of CoT in Planning

Kaya Stechly, Karthik Valmeekam, Subbarao Kambhampati

LAVIB: A Large-scale Video Interpolation Benchmark

Alexandros Stergiou

A2PO: Towards Effective Offline Reinforcement Learning from an Advantage-aware Perspective

Yunpeng Qing, Shunyu Liu, Jingyuan Cong, Kaixuan Chen, Yihe Zhou

Not All Tokens Are What You Need for Pretraining

Zhenghao Lin, Zhibin Gou, Yeyun Gong, Xiao Liu, Yelong Shen

Addressing Asynchronicity in Clinical Multimodal Fusion via Individualized Chest X-ray Generation

Wenfang Yao, Chen Liu, Kejing Yin, William K. Cheung, Jing Qin

MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts

Rachel S.Y. Teo, Tan M. Nguyen

Multi-LLM Debate: Framework, Principals, and Interventions

Andrew Estornell, Yang Liu

AV-GS: Learning Material and Geometry Aware Priors for Novel View Acoustic Synthesis

Swapnil Bhosale, Haosen Yang, Diptesh Kanojia, Jiankang Deng, Xiatian Zhu

QUEST: Quadruple Multimodal Contrastive Learning with Constraints and Self-Penalization

Qi Song, Tianxiang Gong, Shiqi Gao, Haoyi Zhou, Jianxin Li

MediQ: Question-Asking LLMs and a Benchmark for Reliable Interactive Clinical Reasoning

Shuyue Stella Li, Vidhisha Balachandran, Shangbin Feng, Jonathan S. Ilgen, Emma Pierson

LongVideoBench: A Benchmark for Long-context Interleaved Video-Language Understanding

Haoning Wu, DONGXU LI, Bei Chen, Junnan Li

MLLM-CompBench: A Comparative Reasoning Benchmark for Multimodal LLMs

Jihyung Kil, Zheda Mai, Justin Lee, Arpita Chowdhury, Zihe Wang

Enhancing LLM Reasoning via Vision-Augmented Prompting

Ziyang Xiao, Dongxiang Zhang, Xiongwei Han, Xiaojin Fu, Wing Yin Yu

Stochastic Optimal Control for Diffusion Bridges in Function Spaces

Byoungwoo Park, Jungwon Choi, Sungbin Lim, Juho Lee

LaKD: Length-agnostic Knowledge Distillation for Trajectory Prediction with Any Length Observations

Yuhang Li, Changsheng Li, Ruilin Lv, Rongqing Li, Ye Yuan

NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking

Daniel Dauner, Marcel Hallgarten, Tianyu Li, Xinshuo Weng, Zhiyu Huang

$C^2M^3$: Cycle-Consistent Multi-Model Merging

Donato Crisostomi, Marco Fumero, Daniele Baieri, Florian Bernard, Emanuele Rodolà

ReXTime: A Benchmark Suite for Reasoning-Across-Time in Videos

Jr-Jen Chen, Yu-Chien Liao, Hsi-Che Lin, Yu-Chu Yu, Yen-Chun Chen

Stabilize the Latent Space for Image Autoregressive Modeling: A Unified Perspective

Yongxin Zhu, Bocheng Li, Hang Zhang, Xin Li, Linli Xu

Visual Perception by Large Language Model’s Weights

Feipeng Ma, Hongwei Xue, Yizhou Zhou, Guangting Wang, Fengyun Rao

MoEUT: Mixture-of-Experts Universal Transformers

Róbert Csordás, Kazuki Irie, Jürgen Schmidhuber, Christopher Potts, Christopher D. Manning

Statistical Estimation in the Spiked Tensor Model via the Quantum Approximate Optimization Algorithm

Leo Zhou, Joao Basso, Song Mei

Toward Robust Incomplete Multimodal Sentiment Analysis via Hierarchical Representation Learning

Mingcheng Li, Dingkang Yang, Yang Liu, Shunli Wang, Jiawei Chen

Multi-Chain Graphs of Graphs: A New Approach to Analyzing Blockchain Datasets

Bingqiao Luo, Zhen Zhang, Qian Wang, Bingsheng He