NeurIPS 2024

4,493 papers

Tight Rates for Bandit Control Beyond Quadratics

Y. Jennifer Sun, Zhou Lu

Generating compositional scenes via Text-to-image RGBA Instance Generation

Alessandro Fontanella, Petru-Daniel Tudosiu, Yongxin Yang, Shifeng Zhang, Sarah Parisot

Causal Effect Identification in a Sub-Population with Latent Variables

Amir Mohammad Abouei, Ehsan Mokhtarian, Negar Kiyavash, Matthias Grossglauser

XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX

Alexander Nikulin, Vladislav Kurenkov, Ilya Zisman, Artem Agarkov, Viacheslav Sinii

Self-Supervised Adversarial Training via Diverse Augmented Queries and Self-Supervised Double Perturbation

Ruize Zhang, Sheng Tang, Juan Cao

RAMP: Boosting Adversarial Robustness Against Multiple l_p Perturbations for Universal Robustness

Enyi Jiang, Gagandeep Singh

Policy Improvement using Language Feedback Models

Victor Zhong, Dipendra Misra, Xingdi Yuan, Marc-Alexandre Côté

ChaosBench: A Multi-Channel, Physics-Based Benchmark for Subseasonal-to-Seasonal Climate Prediction

Juan Nathaniel, Yongquan Qu, Tung Nguyen, Sungduk Yu, Julius Busecke

(FL)$^2$: Overcoming Few Labels in Federated Semi-Supervised Learning

Seungjoo Lee, Thanh-Long V. Le, Jaemin Shin, Sung-Ju Lee

DiffPO: A causal diffusion model for learning distributions of potential outcomes

Yuchen Ma, Valentyn Melnychuk, Jonas Schweisthal, Stefan Feuerriegel

A Simple Remedy for Dataset Bias via Self-Influence: A Mislabeled Sample Perspective

Yeonsung Jung, Jaeyun Song, June Yong Yang, Jin-Hwa Kim, Eunho Yang

Optimal-state Dynamics Estimation for Physics-based Human Motion Capture from Videos

Cuong Le, Viktor Johansson, Manon Kok, Bastian Wandt

ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution

Haoran Ye, Jiarui Wang, Zhiguang Cao, Federico Berto, Chuanbo Hua

WaveAttack: Asymmetric Frequency Obfuscation-based Backdoor Attacks Against Deep Neural Networks

Jun Xia, Zhihao Yue, Yingbo Zhou, Zhiwei Ling, Yiyu Shi

Evaluating Multiview Object Consistency in Humans and Image Models

Tyler Bonnen, Stephanie Fu, Yutong Bai, Thomas O'Connell, Yoni Friedman

Are nuclear masks all you need for improved out-of-domain generalisation? A closer look at cancer classification in histopathology

Dhananjay Tomar, Alexander Binder, Andreas Kleppe

A General Protocol to Probe Large Vision Models for 3D Physical Understanding

Guanqi Zhan, Chuanxia Zheng, Weidi Xie, Andrew Zisserman

QUEEN: QUantized Efficient ENcoding of Dynamic Gaussians for Streaming Free-viewpoint Videos

Sharath Girish, Tianye Li, Amrita Mazumdar, Abhinav Shrivastava, David Luebke

pfl-research: simulation framework for accelerating research in Private Federated Learning

Filip Granqvist, Congzheng Song, Áine Cahill, Rogier van Dalen, Martin Pelikan

Sketchy Moment Matching: Toward Fast and Provable Data Selection for Finetuning

Yijun Dong, Hoang Phan, Xiang Pan, Qi Lei

Initializing Variable-sized Vision Transformers from Learngene with Learnable Transformation

Shiyu Xia, Yuankun Zu, Xu Yang, Xin Geng

DASH: Warm-Starting Neural Network Training in Stationary Settings without Loss of Plasticity

Baekrok Shin, Junsoo Oh, Hanseul Cho, Chulhee Yun

TinyTTA: Efficient Test-time Adaptation via Early-exit Ensembles on Edge Devices

Hong Jia, Young D. Kwon, Alessio Orsino, Ting Dang, Domenico Talia

Exploiting Activation Sparsity with Dense to Dynamic-k Mixture-of-Experts Conversion

Filip Szatkowski, Bartosz Wójcik, Mikołaj Piórczyński, Simone Scardapane

Mean-Field Analysis for Learning Subspace-Sparse Polynomials with Gaussian Input

Ziang Chen, Rong Ge

LinNet: Linear Network for Efficient Point Cloud Representation Learning

Hao Deng, Kunlei Jing, Shengmei Cheng, Cheng Liu, Jiawei Ru

Beyond Accuracy: Ensuring Correct Predictions With Correct Rationales

Tang Li, Mengmeng Ma, Xi Peng

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective

Yujie Mo, Zhihe Lu, Runpeng Yu, Xiaofeng Zhu, Xinchao Wang

Temporal Sentence Grounding with Relevance Feedback in Videos

Jianfeng Dong, Xiaoman Peng, Daizong Liu, Xiaoye Qu, Xun Yang

LACIE: Listener-Aware Finetuning for Calibration in Large Language Models

Elias Stengel-Eskin, Peter Hase, Mohit Bansal

Hollowed Net for On-Device Personalization of Text-to-Image Diffusion Models

Wonguk Cho, Seokeon Choi, Debasmit Das, Matthias Reisser, Taesup Kim

Learning Formal Mathematics From Intrinsic Motivation

Gabriel Poesia, David Broman, Nick Haber, Noah D. Goodman

RL on Incorrect Synthetic Data Scales the Efficiency of LLM Math Reasoning by Eight-Fold

Amrith Setlur, Saurabh Garg, Xinyang (Young) Geng, Naman Garg, Virginia Smith

Embedding Trajectory for Out-of-Distribution Detection in Mathematical Reasoning

Yiming Wang, Pei Zhang, Baosong Yang, Derek F. Wong, Zhuosheng Zhang

Revisiting the Integration of Convolution and Attention for Vision Backbone

LEI ZHU, Xinjiang Wang, Wayne Zhang, Rynson Lau

HEMM: Holistic Evaluation of Multimodal Foundation Models

Paul Pu Liang, Akshay Goindani, Talha Chafekar, Leena Mathur, Haofei Yu

Online Estimation via Offline Estimation: An Information-Theoretic Framework

Yanjun Han, Jian Qian, Alexander Rakhlin, Dylan J Foster, Dylan J. Foster

Improved Sample Complexity for Multiclass PAC Learning

Steve Hanneke, Shay Moran, Qian Zhang

Taming Diffusion Prior for Image Super-Resolution with Domain Shift SDEs

Qinpeng Cui, Yixuan Liu, Xinyi Zhang, Qiqi Bao, Qingmin Liao

Learning symmetries via weight-sharing with doubly stochastic tensors

Putri A. van der Linden, Alejandro García-Castellanos, Sharvaree Vadgama, Thijs P. Kuipers, Erik J. Bekkers

This Too Shall Pass: Removing Stale Observations in Dynamic Bayesian Optimization

Anthony Bardou, Patrick Thiran, Giovanni Ranieri

Unleashing the Potential of the Diffusion Model in Few-shot Semantic Segmentation

Muzhi Zhu, Yang Liu, Zekai Luo, Chenchen Jing, Hao Chen

Slicing Vision Transformer for Flexible Inference

Yitian Zhang, Huseyin Coskun, Xu Ma, Huan Wang, Ke Ma

Genetic-guided GFlowNets for Sample Efficient Molecular Optimization

Hyeonah Kim, Minsu Kim, Sanghyeok Choi, Jinkyoo Park

IllumiNeRF: 3D Relighting Without Inverse Rendering

Xiaoming Zhao, Pratul P. Srinivasan, Dor Verbin, Keunhong Park, Ricardo Martin-Brualla

InternLM-XComposer2-4KHD: A Pioneering Large Vision-Language Model Handling Resolutions from 336 Pixels to 4K HD

Xiaoyi Dong, Pan Zhang, Yuhang Zang, Yuhang Cao, Bin Wang

Beyond Prompts: Dynamic Conversational Benchmarking of Large Language Models

David Castillo-Bolado, Joseph Davidson, Finlay Gray, Marek Rosa

Approximated Orthogonal Projection Unit: Stabilizing Regression Network Training Using Natural Gradient

Shaoqi Wang, Chunjie Yang, Siwei Lou

Accurate and Steady Inertial Pose Estimation through Sequence Structure Learning and Modulation

Yinghao Wu, Chaoran Wang, Lu Yin, Shihui Guo, Yipeng Qin

Wasserstein Distributionally Robust Optimization through the Lens of Structural Causal Models and Individual Fairness

Ahmad-Reza Ehyaei, Golnoosh Farnadi, Samira Samadi

Identifying General Mechanism Shifts in Linear Causal Representations

Tianyu Chen, Kevin Bello, Francesco Locatello, Bryon Aragam, Pradeep Ravikumar

General Detection-based Text Line Recognition

Raphael Baena, Syrine Kalleli, Mathieu Aubry

Interactive Deep Clustering via Value Mining

Honglin Liu, Peng Hu, Changqing Zhang, Yunfan Li, Xi Peng

GLBench: A Comprehensive Benchmark for Graph with Large Language Models

Yuhan Li, Peisong Wang, Xiao Zhu, Aochuan Chen, Haiyun Jiang

Who’s Gaming the System? A Causally-Motivated Approach for Detecting Strategic Adaptation

Trenton Chang, Lindsay Warrenburg, Sae-Hwan Park, Ravi B. Parikh, Maggie Makar

VeLoRA: Memory Efficient Training using Rank-1 Sub-Token Projections

Roy Miles, Pradyumna Reddy, Ismail Elezi, Jiankang Deng

Learning Transferable Features for Implicit Neural Representations

Kushal Vyas, Ahmed Imtiaz Humayun, Aniket Dashpute, Richard G. Baraniuk, Ashok Veeraraghavan

Self-Healing Machine Learning: A Framework for Autonomous Adaptation in Real-World Environments

Paulius Rauba, Nabeel Seedat, Krzysztof Kacprzyk, Mihaela van der Schaar

Evaluating Numerical Reasoning in Text-to-Image Models

Ivana Kajić, Olivia Wiles, Isabela Albuquerque, Matthias Bauer, Su Wang

Understanding Scaling Laws with Statistical and Approximation Theory for Transformer Neural Networks on Intrinsically Low-dimensional Data

Alex Havrilla, Wenjing Liao

Lookback Prophet Inequalities

Ziyad Benomar, Dorian Baudry, Vianney Perchet

Unveiling and Mitigating Backdoor Vulnerabilities based on Unlearning Weight Changes and Backdoor Activeness

Weilin Lin, Li Liu, Shaokui Wei, Jianze Li, Hui Xiong

OW-VISCapTor: Abstractors for Open-World Video Instance Segmentation and Captioning

Anwesa Choudhuri, Girish Chowdhary, Alexander G. Schwing

MoME: Mixture of Multimodal Experts for Generalist Multimodal Large Language Models

Leyang Shen, Gongwei Chen, Rui Shao, Weili Guan, Liqiang Nie

Sparsity-Agnostic Linear Bandits with Adaptive Adversaries

Tianyuan Jin, Kyoungseok Jang, Nicolò Cesa-bianchi

Persistent Homology for High-dimensional Data Based on Spectral Methods

Sebastian Damrich, Philipp Berens, Dmitry Kobak

Mechanism design augmented with output advice

George Christodoulou, Alkmini Sgouritsa, Ioannis Vlachos

Physics-Regularized Multi-Modal Image Assimilation for Brain Tumor Localization

Michal Balcerak, Tamaz Amiranashvili, Andreas Wagner, Jonas Weidner, Petr Karnakov

Transferability Bound Theory: Exploring Relationship between Adversarial Transferability and Flatness

Mingyuan Fan, Xiaodan Li, Cen Chen, Wenmeng Zhou, Yaliang Li

The Challenges of the Nonlinear Regime for Physics-Informed Neural Networks

Andrea Bonfanti, Giuseppe Bruno, Cristina Cipriani

DOPPLER: Differentially Private Optimizers with Low-pass Filter for Privacy Noise Reduction

Xinwei Zhang, Zhiqi Bu, Mingyi Hong, Meisam Razaviyayn

Learning 3D Garment Animation from Trajectories of A Piece of Cloth

Yidi Shao, Chen Change Loy, Bo Dai

MaNo: Exploiting Matrix Norm for Unsupervised Accuracy Estimation Under Distribution Shifts

RENCHUNZI XIE, Ambroise Odonnat, Vasilii Feofanov, Weijian Deng, Jianfeng Zhang

Learning Social Welfare Functions

Kanad Shrikar Pardeshi, Itai Shapira, Aarti Singh, Ariel D Procaccia, Ariel D. Procaccia

Exploiting LLM Quantization

Kazuki Egashira, Mark Vero, Robin Staab, Jingxuan He, Martin Vechev

A Universal Growth Rate for Learning with Smooth Surrogate Losses

Anqi Mao, Mehryar Mohri, Yutao Zhong

Learning Plaintext-Ciphertext Cryptographic Problems via ANF-based SAT Instance Representation

Xinhao Zheng, Yang Li, Cunxin Fan, Huaijin Wu, Xinhao Song

Probabilistic Weather Forecasting with Hierarchical Graph Neural Networks

Joel Oskarsson, Tomas Landelius, Marc Peter Deisenroth, Fredrik Lindsten

Debiasing Synthetic Data Generated by Deep Generative Models

Alexander Decruyenaere, Heidelinde Dehaene, Paloma Rabaey, Christiaan Polet, Johan Decruyenaere

F-OAL: Forward-only Online Analytic Learning with Fast Training and Low Memory Footprint in Class Incremental Learning

HUIPING ZHUANG, Yuchen Liu, Run He, Kai Tong, Ziqian Zeng

I2EBench: A Comprehensive Benchmark for Instruction-based Image Editing

Yiwei Ma, Jiayi Ji, Ke Ye, Weihuang Lin, Zhibin Wang

Interpretable Image Classification with Adaptive Prototype-based Vision Transformers

Chiyu Ma, Jon Donnelly, Wenjun Liu, Soroush Vosoughi, Cynthia Rudin

SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors

Vijay Lingam, Atula Tejaswi, Aditya Vavre, Aneesh Shetty, Gautham Krishna Gudur

Verified Code Transpilation with LLMs

Sahil Bhatia, Jie Qiu, Niranjan Hasabnis, Sanjit A. Seshia, Alvin Cheung

Embedding Dimension of Contrastive Learning and k-Nearest Neighbors

Dmitrii Avdiukhin, Vaggos Chatziafratis, Orr Fischer, Grigory Yaroslavtsev

Accelerated Regularized Learning in Finite N-Person Games

Kyriakos Lotidis, Angeliki Giannou, Panayotis Mertikopoulos, Nicholas Bambos

Unveiling the Bias Impact on Symmetric Moral Consistency of Large Language Models

Ziyi Zhou, Xinwei Guo, Jiashi Gao, Xiangyu Zhao, Shiyao Zhang

Optimal Algorithms for Online Convex Optimization with Adversarial Constraints

Abhishek Sinha, Rahul Vaze

Is One GPU Enough? Pushing Image Generation at Higher-Resolutions with Foundation Models.

Athanasios Tragakis, Marco Aversa, Chaitanya Kaul, Roderick Murray-Smith, Daniele Faccio

The Expressive Capacity of State Space Models: A Formal Language Perspective

Yash Sarrof, Yana Veitsman, Michael Hahn

WikiDBs: A Large-Scale Corpus Of Relational Databases From Wikidata

Liane Vogel, Jan-Micha Bodensohn, Carsten Binnig

TurboHopp: Accelerated Molecule Scaffold Hopping with Consistency Models

Kiwoong Yoo, Owen Oertell, Junhyun Lee, Jaewoo Kang, Sang-Hoon Lee

Boosting Sample Efficiency and Generalization in Multi-agent Reinforcement Learning via Equivariance

Joshua McClellan, Naveed Haghani, John Winder, Furong Huang, Pratap Tokekar

Graphcode: Learning from multiparameter persistent homology using graph neural networks

Michael Kerber, Florian Russold

Compact Language Models via Pruning and Knowledge Distillation

Saurav Muralidharan, Sharath Turuvekere Sreenivas, Raviraj Joshi, Marcin Chochowski, Mostofa Patwary

VidMan: Exploiting Implicit Dynamics from Video Diffusion Model for Effective Robot Manipulation

Youpeng Wen, Junfan Lin, Yi Zhu, Jianhua Han, Hang Xu

Inexact Augmented Lagrangian Methods for Conic Optimization: Quadratic Growth and Linear Convergence

Feng-Yi Liao, Lijun Ding, Yang Zheng

Improved Sample Complexity Bounds for Diffusion Model Training

Shivam Gupta, Aditya Parulekar, Eric Price, Zhiyang Xun

SEL-BALD: Deep Bayesian Active Learning with Selective Labels

Ruijiang Gao, Mingzhang Yin, Maytal Saar-Tsechansky

Yo'LLaVA: Your Personalized Language and Vision Assistant

Thao Nguyen, Haotian Liu, Yuheng Li, Mu Cai, Utkarsh Ojha