NeurIPS 2023

3,540 papers

Uncovering the Hidden Dynamics of Video Self-supervised Learning under Distribution Shifts

Pritam Sarkar, Ahmad Beirami, Ali Etemad

Diffusion Representation for Asymmetric Kernels via Magnetic Transform

Mingzhen He, FAN He, Ruikai Yang, Xiaolin Huang

Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Rafael Rafailov, Archit Sharma, Eric Mitchell, Stefano Ermon, Chelsea Finn

Training Private Models That Know What They Don’t Know

Stephan Rabanser, Anvith Thudi, Abhradeep Guha Thakurta, Krishnamurthy Dvijotham, Nicolas Papernot

Learning Fine-grained View-Invariant Representations from Unpaired Ego-Exo Videos via Temporal Alignment

Zihui (Sherry) Xue, Kristen Grauman

Parallel Spiking Neurons with High Efficiency and Ability to Learn Long-term Dependencies

Wei Fang, Zhaofei Yu, Zhaokun Zhou, Ding Chen, Yanqi Chen

Synthetic-to-Real Pose Estimation with Geometric Reconstruction

Qiuxia Lin, Kerui Gu, Linlin Yang, Angela Yao

Distribution-Free Model-Agnostic Regression Calibration via Nonparametric Methods

Shang Liu, Zhongze Cai, Xiaocheng Li

Diversify \& Conquer: Outcome-directed Curriculum RL via Out-of-Distribution Disagreement

Daesol Cho, Seungjae Lee, H. Jin Kim

CAPro: Webly Supervised Learning with Cross-modality Aligned Prototypes

Yulei Qin, Xingyu Chen, Yunhang Shen, Chaoyou Fu, Yun Gu

Learning Multi-agent Behaviors from Distributed and Streaming Demonstrations

Shicheng Liu, Minghui Zhu

IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARL

Pascal Leroy, Pablo G. Morato, Jonathan Pisane, Athanasios Kolios, Damien Ernst

Online Adaptive Policy Selection in Time-Varying Systems: No-Regret via Contractive Perturbations

Yiheng Lin, James A. Preiss, Emile Anand, Yingying Li, Yisong Yue

Geometric Neural Diffusion Processes

Emile Mathieu, Vincent Dutordoir, Michael Hutchinson, Valentin De Bortoli, Yee Whye Teh

Better Private Linear Regression Through Better Private Feature Selection

Travis Dick, Jennifer Gillenwater, Matthew Joseph

Weakly Supervised 3D Open-vocabulary Segmentation

Kunhao Liu, Fangneng Zhan, Jiahui Zhang, MUYU XU, Yingchen Yu

Benchmarking Distribution Shift in Tabular Data with TableShift

Josh Gardner, Zoran Popovic, Ludwig Schmidt

Designing Robust Transformers using Robust Kernel Density Estimation

Xing Han, Tongzheng Ren, Tan Nguyen, Khai Nguyen, Joydeep Ghosh

SALSA VERDE: a machine learning attack on LWE with sparse small secrets

Cathy Li, Emily Wenger, Zeyuan Allen-Zhu, Francois Charton, Kristin E. Lauter

DICES Dataset: Diversity in Conversational AI Evaluation for Safety

Lora Aroyo, Alex Taylor, Mark Díaz, Christopher Homan, Alicia Parrish

Towards Symmetry-Aware Generation of Periodic Materials

Youzhi Luo, Chengkai Liu, Shuiwang Ji

Sequential Predictive Two-Sample and Independence Testing

Aleksandr Podkopaev, Aaditya Ramdas

Im-Promptu: In-Context Composition from Image Prompts

Bhishma Dedhia, Michael Chang, Jake Snell, Tom Griffiths, Niraj Jha

Sample-Efficient and Safe Deep Reinforcement Learning via Reset Deep Ensemble Agents

Woojun Kim, Yongjae Shin, Jongeui Park, Youngchul Sung

Online Learning under Adversarial Nonlinear Constraints

Pavel Kolev, Georg Martius, Michael Muehlebach

Does Graph Distillation See Like Vision Dataset Counterpart?

Beining Yang, Kai Wang, Qingyun Sun, Cheng Ji, Xingcheng Fu

On the Statistical Consistency of Risk-Sensitive Bayesian Decision-Making

Prateek Jaiswal, Harsha Honnappa, Vinayak Rao

POMDP Planning for Object Search in Partially Unknown Environment

Yongbo Chen, Hanna Kurniawati

Module-wise Training of Neural Networks via the Minimizing Movement Scheme

Skander Karkar, Ibrahim Ayed, Emmanuel de Bézenac, Patrick Gallinari

Ensemble-based Deep Reinforcement Learning for Vehicle Routing Problems under Distribution Shift

Yuan Jiang, Zhiguang Cao, Yaoxin Wu, Wen Song, Jie Zhang

FedGame: A Game-Theoretic Defense against Backdoor Attacks in Federated Learning

Jinyuan Jia, Zhuowen Yuan, Dinuka Sahabandu, Luyao Niu, Arezoo Rajabi

HEDNet: A Hierarchical Encoder-Decoder Network for 3D Object Detection in Point Clouds

Gang Zhang, Chen Junnan, Guohuan Gao, Jianmin Li, Xiaolin Hu

Fine-Tuning Language Models with Just Forward Passes

Sadhika Malladi, Tianyu Gao, Eshaan Nichani, Alex Damian, Jason Lee

IEBins: Iterative Elastic Bins for Monocular Depth Estimation

Shuwei Shao, Zhongcai Pei, Xingming Wu, Zhong Liu, Weihai Chen

Deep Neural Collapse Is Provably Optimal for the Deep Unconstrained Features Model

Peter Súkeník, Marco Mondelli, Christoph H. Lampert

Katakomba: Tools and Benchmarks for Data-Driven NetHack

Vladislav Kurenkov, Alexander Nikulin, Denis Tarasov, Sergey Kolesnikov

Mode Connectivity in Auction Design

Christoph Hertrich, Yixin Tao, László A. Végh

VLATTACK: Multimodal Adversarial Attacks on Vision-Language Tasks via Pre-trained Models

Ziyi Yin, Muchao Ye, Tianrong Zhang, Tianyu Du, Jinguo Zhu

The Utility of “Even if” Semifactual Explanation to Optimise Positive Outcomes

Eoin Kenny, Weipeng Huang

Harnessing Hard Mixed Samples with Decoupled Regularizer

Zicheng Liu, Siyuan Li, Ge Wang, Lirong Wu, Cheng Tan

Timewarp: Transferable Acceleration of Molecular Dynamics by Learning Time-Coarsened Dynamics

Leon Klein, Andrew Foong, Tor Fjelde, Bruno Mlodozeniec, Marc Brockschmidt

Censored Sampling of Diffusion Models Using 3 Minutes of Human Feedback

TaeHo Yoon, Kibeom Myoung, Keon Lee, Jaewoong Cho, Albert No

Tuning Multi-mode Token-level Prompt Alignment across Modalities

Dongsheng Wang, Miaoge Li, Xinyang Liu, MingSheng Xu, Bo Chen

Behavior Alignment via Reward Function Optimization

Dhawal Gupta, Yash Chandak, Scott Jordan, Philip S. Thomas, Bruno C. da Silva

Distribution Learnability and Robustness

Shai Ben-David, Alex Bie, Gautam Kamath, Tosca Lechner

Energy-based learning algorithms for analog computing: a comparative study

Benjamin Scellier, Maxence Ernoult, Jack Kendall, Suhas Kumar

SPAE: Semantic Pyramid AutoEncoder for Multimodal Generation with Frozen LLMs

Lijun Yu, Yong Cheng, Zhiruo Wang, Vivek Kumar, Wolfgang Macherey

Marginal Density Ratio for Off-Policy Evaluation in Contextual Bandits

Muhammad Faaiz Taufiq, Arnaud Doucet, Rob Cornish, Jean-Francois Ton

Reducing Blackwell and Average Optimality to Discounted MDPs via the Blackwell Discount Factor

Julien Grand-Clément, Marek Petrik

High Precision Causal Model Evaluation with Conditional Randomization

Chao Ma, Cheng Zhang

Efficient Training of Energy-Based Models Using Jarzynski Equality

Davide Carbone, Mengjian Hua, Simon Coste, Eric Vanden-Eijnden

Hardness of Low Rank Approximation of Entrywise Transformed Matrix Products

Tamas Sarlos, Xingyou Song, David Woodruff, Richard Zhang

Efficient Adaptation of Large Vision Transformer via Adapter Re-Composing

Wei Dong, Dawei Yan, Zhijun Lin, Peng Wang

Learning Efficient Surrogate Dynamic Models with Graph Spline Networks

Chuanbo Hua, Federico Berto, Michael Poli, Stefano Massaroli, Jinkyoo Park

Stochastic Approximation Approaches to Group Distributionally Robust Optimization

Lijun Zhang, Peng Zhao, Zhen-Hua Zhuang, Tianbao Yang, Zhi-Hua Zhou

Universal Prompt Tuning for Graph Neural Networks

Taoran Fang, Yunchao Zhang, Yang Yang, Chunping Wang, Lei Chen

A Logic for Expressing Log-Precision Transformers

William Merrill, Ashish Sabharwal

Benchmarking Large Language Models on CMExam - A comprehensive Chinese Medical Exam Dataset

Junling Liu, Peilin Zhou, Yining Hua, Dading Chong, Zhongyu Tian

Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularization

Xiangsen Wang, Haoran Xu, Yinan Zheng, Xianyuan Zhan

A Unified Fast Gradient Clipping Framework for DP-SGD

Weiwei Kong, Andres Munoz Medina

Asymmetric Certified Robustness via Feature-Convex Neural Networks

Samuel Pfrommer, Brendon Anderson, Julien Piet, Somayeh Sojoudi

Scissorhands: Exploiting the Persistence of Importance Hypothesis for LLM KV Cache Compression at Test Time

Zichang Liu, Aditya Desai, Fangshuo Liao, Weitao Wang, Victor Xie

Geodesic Multi-Modal Mixup for Robust Fine-Tuning

Changdae Oh, Junhyuk So, Hoyoon Byun, YongTaek Lim, Minchul Shin

Unbalanced Low-rank Optimal Transport Solvers

meyer scetbon, Michal Klein, Giovanni Palla, Marco Cuturi

Optimal Parameter and Neuron Pruning for Out-of-Distribution Detection

Chao Chen, Zhihang Fu, Kai Liu, Ze Chen, Mingyuan Tao

Accelerated On-Device Forward Neural Network Training with Module-Wise Descending Asynchronism

Xiaohan Zhao, Hualin Zhang, Zhouyuan Huo, Bin Gu

SoundCam: A Dataset for Finding Humans Using Room Acoustics

Mason Wang, Samuel Clarke, Jui-Hsien Wang, Ruohan Gao, Jiajun Wu

On the Convergence of Encoder-only Shallow Transformers

Yongtao Wu, Fanghui Liu, Grigorios Chrysos, Volkan Cevher

Convergence of Adam Under Relaxed Assumptions

Haochuan Li, Alexander Rakhlin, Ali Jadbabaie

Generalization in the Face of Adaptivity: A Bayesian Perspective

Moshe Shenfeld, Katrina Ligett

GenEval: An object-focused framework for evaluating text-to-image alignment

Dhruba Ghosh, Hannaneh Hajishirzi, Ludwig Schmidt

Bypassing the Simulator: Near-Optimal Adversarial Linear Contextual Bandits

Haolin Liu, Chen-Yu Wei, Julian Zimmert

Robust Knowledge Transfer in Tiered Reinforcement Learning

Jiawei Huang, Niao He

Adaptive Linear Estimating Equations

Mufang Ying, Koulik Khamaru, Cun-hui Zhang

SUBP: Soft Uniform Block Pruning for 1×N Sparse CNNs Multithreading Acceleration

JINGYANG XIANG, Siqi Li, Jun Chen, Guang Dai, Shipeng Bai

Graph Neural Networks for Road Safety Modeling: Datasets and Evaluations for Accident Analysis

Abhinav Nippani, Dongyue Li, Haotian Ju, Haris Koutsopoulos, Hongyang Zhang

CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society

Guohao Li, Hasan Hammoud, Hani Itani, Dmitrii Khizbullin, Bernard Ghanem

Promises and Pitfalls of Threshold-based Auto-labeling

Harit Vishwakarma, Heguang Lin, Frederic Sala, Ramya Korlakai Vinayak

Adjustable Robust Reinforcement Learning for Online 3D Bin Packing

Yuxin Pan, Yize Chen, Fangzhen Lin

Bounding the Invertibility of Privacy-preserving Instance Encoding using Fisher Information

Kiwan Maeng, Chuan Guo, Sanjay Kariyappa, G. Edward Suh

Conservative Offline Policy Adaptation in Multi-Agent Games

Chengjie Wu, Pingzhong Tang, Jun Yang, Yujing Hu, Tangjie Lv

Optimal cross-learning for contextual bandits with unknown context distributions

Jon Schneider, Julian Zimmert

Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation

Giorgio Giannone, Akash Srivastava, Ole Winther, Faez Ahmed

Enhancing Adversarial Robustness via Score-Based Optimization

Boya Zhang, Weijian Luo, Zhihua Zhang

Evaluating the Moral Beliefs Encoded in LLMs

Nino Scherrer, Claudia Shi, Amir Feder, David M. Blei

Benchmarking Robustness of Adaptation Methods on Pre-trained Vision-Language Models

Shuo Chen, Jindong Gu, Zhen Han, Yunpu Ma, Philip Torr

On Dynamic Programming Decompositions of Static Risk Measures in Markov Decision Processes

Jia Lin Hau, Erick Delage, Mohammad Ghavamzadeh, Marek Petrik

Content-based Unrestricted Adversarial Attack

Zhaoyu Chen, Bo Li, Shuang Wu, Kaixun Jiang, Shouhong Ding

A Robust Exact Algorithm for the Euclidean Bipartite Matching Problem

Akshaykumar Gattani, Sharath Raghvendra, Pouyan Shirzadian

Estimating Propensity for Causality-based Recommendation without Exposure Data

Zhongzhou Liu, Yuan Fang, Min Wu

On the Powerfulness of Textual Outlier Exposure for Visual OoD Detection

Sangha Park, Jisoo Mok, Dahuin Jung, Saehyung Lee, Sungroh Yoon

Neural Algorithmic Reasoning Without Intermediate Supervision

Gleb Rodionov, Liudmila Prokhorenkova

Phase diagram of early training dynamics in deep neural networks: effect of the learning rate, depth, and width

Dayal Singh Kalra, Maissam Barkeshli

IDRNet: Intervention-Driven Relation Network for Semantic Segmentation

Zhenchao Jin, Xiaowei Hu, Lingting Zhu, Luchuan Song, Li Yuan

Model Sparsity Can Simplify Machine Unlearning

Jinghan Jia, Jiancheng Liu, Parikshit Ram, Yuguang Yao, Gaowen Liu

Unleash the Potential of Image Branch for Cross-modal 3D Object Detection

Yifan Zhang, Qijian Zhang, Junhui Hou, Yixuan Yuan, Guoliang Xing

Information Maximizing Curriculum: A Curriculum-Based Approach for Learning Versatile Skills

Denis Blessing, Onur Celik, Xiaogang Jia, Moritz Reuss, Maximilian Li

Deconstructing Data Reconstruction: Multiclass, Weight Decay and General Losses

Gon Buzaglo, Niv Haim, Gilad Yehudai, Gal Vardi, Yakir Oz

Unsupervised Behavior Extraction via Random Intent Priors

Hao Hu, Yiqin Yang, Jianing Ye, Ziqing Mai, Chongjie Zhang

Vulnerabilities in Video Quality Assessment Models: The Challenge of Adversarial Attacks

Aoxiang Zhang, Yu Ran, Weixuan Tang, Yuan-Gen Wang