NeurIPS 2024

4,493 papers

Iterative Methods via Locally Evolving Set Process

Baojian Zhou, Yifan Sun, Reza Babanezhad Harikandeh, Xingzhi Guo, Deqing Yang

Optimal Hypothesis Selection in (Almost) Linear Time

Maryam Aliakbarpour, Mark Bun, Adam Smith

Neural Embeddings Rank: Aligning 3D latent dynamics with movements

Chenggang Chen, Zhiyu Yang, Xiaoqin Wang

First-Order Methods for Linearly Constrained Bilevel Optimization

Guy Kornowski, Swati Padmanabhan, Kai Wang, Jimmy Zhang, Suvrit Sra

DynaMITE-RL: A Dynamic Model for Improved Temporal Meta-Reinforcement Learning

Anthony Liang, Guy Tennenholtz, Chih-wei Hsu, Yinlam Chow, Erdem Biyik

Efficient and Private Marginal Reconstruction with Local Non-Negativity

Brett Mullins, Miguel Fuentes, Yingtai Xiao, Daniel Kifer, Cameron Musco

A Compositional Atlas for Algebraic Circuits

Benjie Wang, Denis Deratani Mauá, Guy Van den Broeck, YooJung Choi

Discovering Sparsity Allocation for Layer-wise Pruning of Large Language Models

Lujun Li, Peijie Dong, Zhenheng Tang, Xiang Liu, Qiang Wang

ImOV3D: Learning Open Vocabulary Point Clouds 3D Object Detection from Only 2D Images

Timing Yang, Yuanliang Ju, Li Yi

Data curation via joint example selection further accelerates multimodal learning

Talfan Evans, Nikhil Parthasarathy, Hamza Merzic, Olivier J. Hénaff

BAKU: An Efficient Transformer for Multi-Task Policy Learning

Siddhant Haldar, Zhuoran Peng, Lerrel Pinto

CLUES: Collaborative Private-domain High-quality Data Selection for LLMs via Training Dynamics

Wanru Zhao, Hongxiang Fan, Shell Xu Hu, Bofan Chen, Nicholas D. Lane

Improving Temporal Link Prediction via Temporal Walk Matrix Projection

Xiaodong Lu, Leilei Sun, Tongyu Zhu, Weifeng Lv

Neural Gaffer: Relighting Any Object via Diffusion

Haian Jin, Yuan Li, Fujun Luan, Yuanbo Xiangli, Sai Bi

Propensity Score Alignment of Unpaired Multimodal Data

Johnny Xi, Jana Osea, Zuheng (David) Xu, Jason Hartford

A Best-of-both-worlds Algorithm for Bandits with Delayed Feedback with Robustness to Excessive Delays

Saeed Masoudian, Julian Zimmert, Yevgeny Seldin

Can Large Language Models Analyze Graphs like Professionals? A Benchmark, Datasets and Models

Xin Li, Weize Chen, Qizhi Chu, Haopeng Li, Zhaojun Sun

AV-Cloud: Spatial Audio Rendering Through Audio-Visual Cloud Splatting

Mingfei Chen, Eli Shlizerman

End-to-End Video Semantic Segmentation in Adverse Weather using Fusion Blocks and Temporal-Spatial Teacher-Student Learning

Xin Yang, Yan Wending, Michael Bi Mi, Yuan Yuan, Robby T. Tan

Instance-Specific Asymmetric Sensitivity in Differential Privacy

David Durfee

High-probability complexity bounds for stochastic non-convex minimax optimization

Yassine Laguel, Yasa Syed, Necdet Serhat Aybat, Mert Gurbuzbalaban

Multi-modal Situated Reasoning in 3D Scenes

Xiongkun Linghu, Jiangyong Huang, Xuesong Niu, Xiaojian Ma, Baoxiong Jia

Hyperbolic Embeddings of Supervised Models

Richard Nock, Ehsan Amid, Frank Nielsen, Alexander Soen, Manfred K. Warmuth

A Unifying Normative Framework of Decision Confidence

Amelia M. Johnson, Micheal A. Buice, Koosha Khalvati

CoMix: A Comprehensive Benchmark for Multi-Task Comic Understanding

Emanuele Vivoli, Marco Bertini, Dimosthenis Karatzas

WikiDO: A New Benchmark Evaluating Cross-Modal Retrieval for Vision-Language Models

T Pavan Kalyan, Piyush Singh Pasi, Sahil Nilesh Dharod, Azeem Azaz Motiwala, Preethi Jyothi

Recurrent Complex-Weighted Autoencoders for Unsupervised Object Discovery

Anand Gopalakrishnan, Aleksandar Stanić, Jürgen Schmidhuber, Michael Curtis Mozer

KptLLM: Unveiling the Power of Large Language Model for Keypoint Comprehension

jie Yang, Wang Zeng, Sheng Jin, Lumin Xu, Wentao Liu

Penalty-based Methods for Simple Bilevel Optimization under Hölderian Error Bounds

Pengyu Chen, Xu Shi, Rujun Jiang, Jiulin Wang

Connecting the Dots: LLMs can Infer and Verbalize Latent Structure from Disparate Training Data

Johannes Treutlein, Dami Choi, Jan Betley, Sam Marks, Cem Anil

VHELM: A Holistic Evaluation of Vision Language Models

Tony Lee, Haoqin Tu, Chi Heem Wong, Wenhao Zheng, Yiyang Zhou

UniTS: A Unified Multi-Task Time Series Model

Shanghua Gao, Teddy Koker, Owen Queen, Thomas Hartvigsen, Theodoros Tsiligkaridis

Reinforcement Learning Policy as Macro Regulator Rather than Macro Placer

Ke Xue, Ruo-Tong Chen, Xi Lin, Yunqi Shi, Shixiong Kai

MatFormer: Nested Transformer for Elastic Inference

Devvrit, Sneha Kudugunta, Aditya Kusupati, Tim Dettmers, Kaifeng Chen

MKGL: Mastery of a Three-Word Language

Lingbing Guo, Zhongpu Bo, Zhuo Chen, Yichi Zhang, Jiaoyan Chen

A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences

Miguel González-Duque, Richard Michael, Simon Bartels, Yevgen Zainchkovskyy, Søren Hauberg

A New Neural Kernel Regime: The Inductive Bias of Multi-Task Learning

Julia Nakhleh, Joseph Shenouda, Robert D. Nowak

Achievable Fairness on Your Data With Utility Guarantees

Muhammad Faaiz Taufiq, Jean-Francois Ton, Yang Liu

On Tractable Φ-Equilibria in Non-Concave Games

Yang Cai, Constantinos Daskalakis, Haipeng Luo, Chen-Yu Wei, Weiqiang Zheng

CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models

Peng Xia, Ze Chen, Juanxi Tian, Yangrui Gong, Ruibo Hou

MOTIVE: A Drug-Target Interaction Graph For Inductive Link Prediction

John Arevalo, Ellen Su, Anne E. Carpenter, Shantanu Singh

An Offline Adaptation Framework for Constrained Multi-Objective Reinforcement Learning

Qian Lin, Zongkai Liu, Danying Mo, Chao Yu

ZOPP: A Framework of Zero-shot Offboard Panoptic Perception for Autonomous Driving

Tao Ma, Hongbin Zhou, Qiusheng Huang, Xuemeng Yang, Jianfei Guo

Quantitative Convergences of Lie Group Momentum Optimizers

Lingkai Kong, Molei Tao

TGB 2.0: A Benchmark for Learning on Temporal Knowledge Graphs and Heterogeneous Graphs

Julia Gastinger, Shenyang Huang, Mikhail Galkin, Erfan Loghmani, Ali Parviz

Rapid Plug-in Defenders

Kai WU, Yujian Betterest Li, Jian Lou, Xiaoyu Zhang, Handing Wang

Topic-Conversation Relevance (TCR) Dataset and Benchmarks

Yaran Fan, Jamie Pool, Senja Filipi, Ross Cutler

LightGaussian: Unbounded 3D Gaussian Compression with 15x Reduction and 200+ FPS

Zhiwen Fan, Kevin Wang, Kairun Wen, Zehao Zhu, Dejia Xu

Speaking Your Language: Spatial Relationships in Interpretable Emergent Communication

Olaf Lipinski, Adam J. Sobey, Federico Cerutti, Timothy J. Norman

Learning Partitions from Context

Simon Buchholz

Neural Localizer Fields for Continuous 3D Human Pose and Shape Estimation

István Sárándi, Gerard Pons-Moll

MiniCache: KV Cache Compression in Depth Dimension for Large Language Models

Akide Liu, Jing Liu, Zizheng Pan, Yefei He, Gholamreza Haffari

Regularized Conditional Diffusion Model for Multi-Task Preference Alignment

Xudong Yu, Chenjia Bai, Haoran He, Changhong Wang, Xuelong Li

Safety through feedback in Constrained RL

Shashank Reddy Chirra, Pradeep Varakantham, Praveen Paruchuri

Probing Social Bias in Labor Market Text Generation by ChatGPT: A Masked Language Model Approach

Lei Ding, Yang Hu, Nicole Denier, Enze Shi, Junxi Zhang

A Swiss Army Knife for Heterogeneous Federated Learning: Flexible Coupling via Trace Norm

Tianchi Liao, Lele Fu, Jialong Chen, Zhen Wang, Zibin Zheng

OneRef: Unified One-tower Expression Grounding and Segmentation with Mask Referring Modeling

Linhui Xiao, Xiaoshan Yang, Fang Peng, Yaowei Wang, Changsheng Xu

Nearly Optimal Approximation of Matrix Functions by the Lanczos Method

Noah Amsel, Tyler Chen, Anne Greenbaum, Cameron Musco, Christopher Musco

Understanding Linear Probing then Fine-tuning Language Models from NTK Perspective

Akiyoshi Tomihari, Issei Sato

HAWK: Learning to Understand Open-World Video Anomalies

Jiaqi Tang, Hao Lu, Ruizheng Wu, Xiaogang Xu, Ke Ma

VCR-GauS: View Consistent Depth-Normal Regularizer for Gaussian Surface Reconstruction

Hanlin Chen, Fangyin Wei, Chen Li, Tianxin Huang, Yunsong Wang

LG-VQ: Language-Guided Codebook Learning

Guotao Liang, Baoquan Zhang, Yaowei Wang, Xutao Li, Yunming Ye

Unified Speech Recognition: A Single Model for Auditory, Visual, and Audiovisual Inputs

Alexandros Haliassos, Rodrigo Mira, Honglie Chen, Zoe Landgraf, Stavros Petridis

Dispelling the Mirage of Progress in Offline MARL through Standardised Baselines and Evaluation

Claude Formanek, Callum Rhys Tilbury, Louise Beyers, Jonathan Shock, Arnu Pretorius

The Iterative Optimal Brain Surgeon: Faster Sparse Recovery by Leveraging Second-Order Information

Diyuan Wu, Ionut-Vlad Modoranu, Mher Safaryan, Denis Kuznedelev, Dan Alistarh

Fair GLASSO: Estimating Fair Graphical Models with Unbiased Statistical Behavior

Madeline Navarro, Samuel Rey, Andrei Buciulea, Antonio G. Marques, Santiago Segarra

Visual Riddles: a Commonsense and World Knowledge Challenge for Large Vision and Language Models

Aviv Slobodkin, Aviya Maimon, Eliya Habba, Royi Rassin, Yonatan Bitton

Fully Distributed, Flexible Compositional Visual Representations via Soft Tensor Products

Bethia Sun, Maurice Pagnucco, Yang Song

Boosting Text-to-Video Generative Model with MLLMs Feedback

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

Recurrent neural networks: vanishing and exploding gradients are not the end of the story

Nicolas Zucchet, Antonio Orvieto

Enhancing Robustness of Last Layer Two-Stage Fair Model Corrections

Nathan Stromberg, Rohan Ayyagari, Sanmi Koyejo, Richard Nock, Lalitha Sankar

Visual Sketchpad: Sketching as a Visual Chain of Thought for Multimodal Language Models

Yushi Hu, Weijia Shi, Xingyu Fu, Dan Roth, Mari Ostendorf

Query-Efficient Correlation Clustering with Noisy Oracle

Yuko Kuroki, Atsushi Miyauchi, Francesco Bonchi, Wei Chen

Search for Efficient Large Language Models

Xuan Shen, Pu Zhao, Yifan Gong, Zhenglun Kong, Zheng Zhan

Efficiency of the First-Price Auction in the Autobidding World

Yuan Deng, Jieming Mao, Vahab Mirrokni, Hanrui Zhang, Song Zuo

AlphaTablets: A Generic Plane Representation for 3D Planar Reconstruction from Monocular Videos

Yuze He, Wang Zhao, Shaohui Liu, Yubin Hu, Yushi Bai

Adversarially Robust Multi-task Representation Learning

Austin Watkins, Thanh Nguyen-Tang, Enayat Ullah, Raman Arora

Analysing the Generalisation and Reliability of Steering Vectors

Daniel Tan, David Chanin, Aengus Lynch, Brooks Paige, Dimitrios Kanoulas

Scalable and Effective Arithmetic Tree Generation for Adder and Multiplier Designs

Yao Lai, Jinxin Liu, David Z. Pan, Ping Luo

Evaluating Copyright Takedown Methods for Language Models

Boyi Wei, Weijia Shi, Yangsibo Huang, Noah A. Smith, Chiyuan Zhang

Novel Object Synthesis via Adaptive Text-Image Harmony

Zeren Xiong, Zedong Zhang, Zikun Chen, Shuo Chen, Xiang Li

Fisher Flow Matching for Generative Modeling over Discrete Data

Oscar Davis, Samuel Kessler, Mircea Petrache, İsmail İlkan Ceylan, Michael Bronstein

The Importance of Being Scalable: Improving the Speed and Accuracy of Neural Network Interatomic Potentials Across Chemical Domains

Eric Qu, Aditi S. Krishnapriyan

Closed-Loop Visuomotor Control with Generative Expectation for Robotic Manipulation

Qingwen Bu, Jia Zeng, Li Chen, Yanchao Yang, Guyue Zhou

SemFlow: Binding Semantic Segmentation and Image Synthesis via Rectified Flow

Chaoyang Wang, Xiangtai Li, Lu Qi, Henghui Ding, Yunhai Tong

GUIDE: Real-Time Human-Shaped Agents

Lingyu Zhang, Zhengran Ji, Nicholas R Waytowich, Boyuan Chen

Off-Policy Selection for Initiating Human-Centric Experimental Design

Ge Gao, Xi Yang, Qitong Gao, Song Ju, Miroslav Pajic

Unified Guidance for Geometry-Conditioned Molecular Generation

Sirine Ayadi, Leon Hetzel, Johanna Sommer, Fabian Theis, Stephan Günnemann

pcaGAN: Improving Posterior-Sampling cGANs via Principal Component Regularization

Matthew C. Bendel, Rizwan Ahmad, Philip Schniter

AdaFlow: Imitation Learning with Variance-Adaptive Flow-Based Policies

Xixi Hu, Bo Liu, Xingchao Liu, Qiang Liu

Amortized Eigendecomposition for Neural Networks

Tianbo Li, Zekun Shi, Jiaxi Zhao, Min Lin

VISA: Variational Inference with Sequential Sample-Average Approximations

Heiko Zimmermann, Christian A. Naesseth, Jan-Willem van de Meent

No Free Lunch in LLM Watermarking: Trade-offs in Watermarking Design Choices

Qi Pang, Shengyuan Hu, Wenting Zheng, Virginia Smith

Segment Anything without Supervision

Xudong Wang, Jingfeng Yang, Trevor Darrell

Scalable Constrained Policy Optimization for Safe Multi-agent Reinforcement Learning

Lijun Zhang, Lin Li, Wei Wei, Huizhong Song, Yaodong Yang

Provably Mitigating Overoptimization in RLHF: Your SFT Loss is Implicitly an Adversarial Regularizer

Zhihan Liu, Miao Lu, Shenao Zhang, Boyi Liu, Hongyi Guo

PediatricsGPT: Large Language Models as Chinese Medical Assistants for Pediatric Applications

Dingkang Yang, Jinjie Wei, Dongling Xiao, Shunli Wang, Tong Wu

Reflective Multi-Agent Collaboration based on Large Language Models

Xiaohe Bo, Zeyu Zhang, Quanyu Dai, Xueyang Feng, Lei Wang

TextCtrl: Diffusion-based Scene Text Editing with Prior Guidance Control

Weichao Zeng, Yan Shu, Zhenhang Li, Dongbao Yang, Yu Zhou

Thought of Search: Planning with Language Models Through The Lens of Efficiency

Michael Katz, Harsha Kokel, Kavitha Srinivas, Shirin Sohrabi