NeurIPS 2023

3,540 papers

Ordering-based Conditions for Global Convergence of Policy Gradient Methods

Jincheng Mei, Bo Dai, Alekh Agarwal, Mohammad Ghavamzadeh, Csaba Szepesvári

Weakly-Supervised Concealed Object Segmentation with SAM-based Pseudo Labeling and Multi-scale Feature Grouping

Chunming He, Kai Li, Yachao Zhang, Guoxia Xu, Longxiang Tang

A Novel Framework for Policy Mirror Descent with General Parameterization and Linear Convergence

Carlo Alfano, Rui Yuan, Patrick Rebeschini

Vocabulary-free Image Classification

Alessandro Conti, Enrico Fini, Massimiliano Mancini, Paolo Rota, Yiming Wang

Real-World Image Variation by Aligning Diffusion Inversion Chain

Yuechen Zhang, Jinbo Xing, Eric Lo, Jiaya Jia

Policy Optimization in a Noisy Neighborhood: On Return Landscapes in Continuous Control

Nate Rahn, Pierluca D'Oro, Harley Wiltzer, Pierre-Luc Bacon, Marc Bellemare

Practical Contextual Bandits with Feedback Graphs

Mengxiao Zhang, Yuheng Zhang, Olga Vrousgou, Haipeng Luo, Paul Mineiro

LoRA: A Logical Reasoning Augmented Dataset for Visual Question Answering

Jingying Gao, Qi Wu, Alan Blair, Maurice Pagnucco

Fast Bellman Updates for Wasserstein Distributionally Robust MDPs

Zhuodong Yu, Ling Dai, Shaohang Xu, Siyang Gao, Chin Pang Ho

Complex Query Answering on Eventuality Knowledge Graph with Implicit Logical Constraints

Jiaxin Bai, Xin Liu, Weiqi Wang, Chen Luo, Yangqiu Song

SutraNets: Sub-series Autoregressive Networks for Long-Sequence, Probabilistic Forecasting

Shane Bergsma, Tim Zeyl, Lei Guo

On Certified Generalization in Structured Prediction

Bastian Boll, Christoph Schnörr

Effective Human-AI Teams via Learned Natural Language Rules and Onboarding

Hussein Mozannar, Jimin Lee, Dennis Wei, Prasanna Sattigeri, Subhro Das

Towards A Richer 2D Understanding of Hands at Scale

Tianyi Cheng, Dandan Shan, Ayda Hassen, Richard Higgins, David Fouhey

Variational Imbalanced Regression: Fair Uncertainty Quantification via Probabilistic Smoothing

Ziyan Wang, Hao Wang

Differentiable Sampling of Categorical Distributions Using the CatLog-Derivative Trick

Lennert De Smet, Emanuele Sansone, Pedro Zuidberg Dos Martires

Real3D-AD: A Dataset of Point Cloud Anomaly Detection

Jiaqi Liu, Guoyang Xie, Ruitao Chen, Xinpeng Li, Jinbao Wang

Revisiting Adversarial Robustness Distillation from the Perspective of Robust Fairness

Xinli Yue, Mou Ningping, Qian Wang, Lingchen Zhao

ForkMerge: Mitigating Negative Transfer in Auxiliary-Task Learning

Junguang Jiang, Baixu Chen, Junwei Pan, Ximei Wang, Dapeng Liu

Large Language Models can Implement Policy Iteration

Ethan Brooks, Logan Walls, Satinder P. Singh, Richard L. Lewis, Richard L Lewis

Consensus and Subjectivity of Skin Tone Annotation for ML Fairness

Candice Schumann, Femi Olanubi, Auriel Wright, Ellis Monk, Courtney Heldreth

GSLB: The Graph Structure Learning Benchmark

Zhixun Li, Liang Wang, Xin Sun, Yifan Luo, Yanqiao Zhu

Subject-driven Text-to-Image Generation via Apprenticeship Learning

Wenhu Chen, Hexiang Hu, Yandong Li, Nataniel Ruiz, Xuhui Jia

Higher-Order Uncoupled Dynamics Do Not Lead to Nash Equilibrium - Except When They Do

Sarah Toonsi, Jeff Shamma

Proportional Response: Contextual Bandits for Simple and Cumulative Regret Minimization

Sanath Kumar Krishnamurthy, Ruohan Zhan, Susan Athey, Emma Brunskill

LithoBench: Benchmarking AI Computational Lithography for Semiconductor Manufacturing

Su Zheng, Haoyu Yang, Binwu Zhu, Bei Yu, Martin Wong

SpecTr: Fast Speculative Decoding via Optimal Transport

Ziteng Sun, Ananda Theertha Suresh, Jae Hun Ro, Ahmad Beirami, Himanshu Jain

Implicit Bias of Gradient Descent for Two-layer ReLU and Leaky ReLU Networks on Nearly-orthogonal Data

Yiwen Kou, Zixiang Chen, Quanquan Gu

BLIP-Diffusion: Pre-trained Subject Representation for Controllable Text-to-Image Generation and Editing

DONGXU LI, Junnan Li, Steven C. Hoi

Partial Matrix Completion

Elad Hazan, Adam Tauman Kalai, Varun Kanade, Clara Mohri, Y. Jennifer Sun

Minimax Optimal Rate for Parameter Estimation in Multivariate Deviated Models

Dat Do, Huy Nguyen, Khai Nguyen, nhật Hồ

Beta Diffusion

Mingyuan Zhou, Tianqi Chen, Zhendong Wang, Huangjie Zheng

AlpacaFarm: A Simulation Framework for Methods that Learn from Human Feedback

Yann Dubois, Chen Xuechen Li, Rohan Taori, Tianyi Zhang, Ishaan Gulrajani

CommonScenes: Generating Commonsense 3D Indoor Scenes with Scene Graph Diffusion

Guangyao Zhai, Evin Pınar Örnek, Shun-Cheng Wu, Yan Di, Federico Tombari

SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling

Jiaxiang Dong, Haixu Wu, Haoran Zhang, Li Zhang, Jianmin Wang

Feature Adaptation for Sparse Linear Regression

Jonathan Kelner, Frederic Koehler, Raghu Meka, Dhruv Rohatgi

Variational Inference with Gaussian Score Matching

Chirag Modi, Robert Gower, Charles Margossian, Yuling Yao, David M. Blei

Segment Anything in High Quality

Lei Ke, Mingqiao Ye, Martin Danelljan, Yifan liu, Yu-Wing Tai

Label-efficient Segmentation via Affinity Propagation

Wentong Li, Yuqian Yuan, Song Wang, Wenyu Liu, Dongqi Tang

DiffVL: Scaling Up Soft Body Manipulation using Vision-Language Driven Differentiable Physics

Zhiao Huang, Feng Chen, Yewen Pu, Chunru Lin, Hao Su

Realistic Synthetic Financial Transactions for Anti-Money Laundering Models

Erik Altman, Jovan Blanuša, Luc von Niederhäusern, Beni Egressy, Andreea Anghel

Color Equivariant Convolutional Networks

Attila Lengyel, Ombretta Strafforello, Robert-Jan Bruintjes, Alexander Gielisse, Jan van Gemert

Statistical Knowledge Assessment for Large Language Models

Qingxiu Dong, Jingjing Xu, Lingpeng Kong, Zhifang Sui, Lei Li

StressID: a Multimodal Dataset for Stress Identification

Hava Chaptoukaev, Valeriya Strizhkova, Michele Panariello, Bianca Dalpaos, Aglind Reka

Transfer learning for atomistic simulations using GNNs and kernel mean embeddings

John Falk, Luigi Bonati, Pietro Novelli, Michele Parrinello, Massimiliano Pontil

Online (Multinomial) Logistic Bandit: Improved Regret and Constant Computation Cost

Yu-Jie Zhang, Masashi Sugiyama

Online Pricing for Multi-User Multi-Item Markets

Yigit Efe Erginbas, Thomas Courtade, Kannan Ramchandran, Soham Phade

Non-Convex Bilevel Optimization with Time-Varying Objective Functions

Sen Lin, Daouda Sow, Kaiyi Ji, Yingbin Liang, Ness Shroff

Symbol-LLM: Leverage Language Models for Symbolic System in Visual Human Activity Reasoning

Xiaoqian Wu, Yong-Lu Li, Jianhua Sun, Cewu Lu

PointGPT: Auto-regressively Generative Pre-training from Point Clouds

Guangyan Chen, Meiling Wang, Yi Yang, Kai Yu, Li Yuan

Brain encoding models based on multimodal transformers can transfer across language and vision

Jerry Tang, Meng Du, Vy Vo, VASUDEV LAL, Alexander Huth

GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection

Jianheng Tang, Fengrui Hua, Ziqi Gao, Peilin Zhao, Jia Li

Cheap and Quick: Efficient Vision-Language Instruction Tuning for Large Language Models

Gen Luo, Yiyi Zhou, Tianhe Ren, Shengxin Chen, Xiaoshuai Sun

Toward Better PAC-Bayes Bounds for Uniformly Stable Algorithms

Sijia Zhou, Yunwen Lei, Ata Kaban

Riemannian stochastic optimization methods avoid strict saddle points

Ya-Ping Hsieh, Mohammad Reza Karimi Jaghargh, Andreas Krause, Panayotis Mertikopoulos

Complexity Matters: Rethinking the Latent Space for Generative Modeling

Tianyang Hu, Fei Chen, Haonan Wang, Jiawei Li, Wenjia Wang

Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning

Xiaoming Shi, Siqiao Xue, Kangrui Wang, Fan Zhou, James Zhang

Towards Personalized Federated Learning via Heterogeneous Model Reassembly

Jiaqi Wang, Xingyi Yang, Suhan Cui, Liwei Che, Lingjuan Lyu

Anytime Model Selection in Linear Bandits

Parnian Kassraie, Nicolas Emmenegger, Andreas Krause, Aldo Pacchiano

AdaptSSR: Pre-training User Model with Augmentation-Adaptive Self-Supervised Ranking

Yang Yu, Qi Liu, Kai Zhang, Yuren Zhang, Chao Song

Optimal Preconditioning and Fisher Adaptive Langevin Sampling

Michalis K. Titsias

(S)GD over Diagonal Linear Networks: Implicit bias, Large Stepsizes and Edge of Stability

Mathieu Even, Scott Pesme, Suriya Gunasekar, Nicolas Flammarion

Beyond Deep Ensembles: A Large-Scale Evaluation of Bayesian Deep Learning under Distribution Shift

Florian Seligmann, Philipp Becker, Michael Volpp, Gerhard Neumann

Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks

Micah Goldblum, Hossein Souri, Renkun Ni, Manli Shu, Viraj Prabhu

STXD: Structural and Temporal Cross-Modal Distillation for Multi-View 3D Object Detection

Sujin Jang, Dae Ung Jo, Sung Ju Hwang, Dongwook Lee, Daehyun Ji

Mass-Producing Failures of Multimodal Systems with Language Models

Shengbang Tong, Erik Jones, Jacob Steinhardt

RevColV2: Exploring Disentangled Representations in Masked Image Modeling

Qi Han, Yuxuan Cai, Xiangyu Zhang

Safe Exploration in Reinforcement Learning: A Generalized Formulation and Algorithms

Akifumi Wachi, Wataru Hashimoto, Xun Shen, Kazumune Hashimoto

FourierHandFlow: Neural 4D Hand Representation Using Fourier Query Flow

Junbong Jang, Donghwan Kim, Minhyuk Sung, Tae-kyun Kim, Ji-Hyun Lee

Practical Equivariances via Relational Conditional Neural Processes

Daolang Huang, Manuel Haussmann, Ulpu Remes, ST John, Grégoire Clarté

Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance Decomposition

Divin Yan, Gengchen Wei, chen yang, Shengzhong Zhang, zengfeng Huang

Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial Target Data

Cheng-Hao Tu, Hong-You Chen, Zheda Mai, Jike Zhong, Vardaan Pahuja

Efficient Beam Tree Recursion

Jishnu Ray Chowdhury, Cornelia Caragea

Hierarchical Integration Diffusion Model for Realistic Image Deblurring

Zheng Chen, Yulun Zhang, Ding Liu, bin xia, Jinjin Gu

Adapting to Continuous Covariate Shift via Online Density Ratio Estimation

Yu-Jie Zhang, Peng Zhao, Masashi Sugiyama, Zhenyu Zhang, Zhen-Yu Zhang

Finite-Time Analysis of Whittle Index based Q-Learning for Restless Multi-Armed Bandits with Neural Network Function Approximation

GUOJUN XIONG, Jian Li

YouTube-ASL: A Large-Scale, Open-Domain American Sign Language-English Parallel Corpus

Dave Uthus, Garrett Tanzer, Manfred Georg

TempME: Towards the Explainability of Temporal Graph Neural Networks via Motif Discovery

Jialin Chen, Rex Ying

Self-Supervised Learning with Lie Symmetries for Partial Differential Equations

Grégoire Mialon, Quentin Garrido, Hannah Lawrence, Danyal Rehman, Yann LeCun

Variational Gaussian processes for linear inverse problems

Thibault RANDRIANARISOA, Botond Szabo

VRA: Variational Rectified Activation for Out-of-distribution Detection

Mingyu Xu, Zheng Lian, Bin Liu, Jianhua Tao

On Class Distributions Induced by Nearest Neighbor Graphs for Node Classification of Tabular Data

Federico Errica

Private Federated Frequency Estimation: Adapting to the Hardness of the Instance

Jingfeng Wu, Wennan Zhu, Peter Kairouz, Vladimir braverman

Performance-optimized deep neural networks are evolving into worse models of inferotemporal visual cortex

Drew Linsley, Ivan F Rodriguez Rodriguez, Thomas FEL, Michael Arcaro, Saloni Sharma

Learning Energy-based Model via Dual-MCMC Teaching

Jiali Cui, Tian Han

Your representations are in the network: composable and parallel adaptation for large scale models

Yonatan Dukler, Alessandro Achille, Hao Yang, Varsha Vivek, Luca Zancato

CAP: Correlation-Aware Pruning for Highly-Accurate Sparse Vision Models

Denis Kuznedelev, Eldar Kurtic, Elias Frantar, Dan Alistarh

Schema-learning and rebinding as mechanisms of in-context learning and emergence

Sivaramakrishnan Swaminathan, Antoine Dedieu, Rajkumar Vasudeva Raju, Murray Shanahan, Miguel Lázaro-Gredilla

(Almost) Provable Error Bounds Under Distribution Shift via Disagreement Discrepancy

Elan Rosenfeld, Saurabh Garg

When Do Graph Neural Networks Help with Node Classification? Investigating the Homophily Principle on Node Distinguishability

Sitao Luan, Chenqing Hua, Minkai Xu, Qincheng Lu, Jiaqi Zhu

Semi-Supervised Domain Generalization with Known and Unknown Classes

Lei Zhang, Ji-Fu Li, Wei Wang

ε-fractional core stability in Hedonic Games.

Simone Fioravanti, Michele Flammini, Bojana Kodric, Giovanna Varricchio

The Quantization Model of Neural Scaling

Eric Michaud, Ziming Liu, Uzay Girit, Max Tegmark

Lookaround Optimizer: k steps around, 1 step average

Jiangtao Zhang, Shunyu Liu, Jie Song, Tongtian Zhu, Zhengqi Xu

Aleksandr Beznosikov, Martin Takac, Alexander Gasnikov

On the Consistency of Maximum Likelihood Estimation of Probabilistic Principal Component Analysis

Arghya Datta, Sayak Chakrabarty

OpenDataVal: a Unified Benchmark for Data Valuation

Kevin Jiang, Weixin Liang, James Y Zou, Yongchan Kwon

Text Promptable Surgical Instrument Segmentation with Vision-Language Models

Zijian Zhou, Oluwatosin Alabi, Meng Wei, Tom Vercauteren, Miaojing Shi

Architecture Matters: Uncovering Implicit Mechanisms in Graph Contrastive Learning

Xiaojun Guo, Yifei Wang, Zeming Wei, Yisen Wang

Networks are Slacking Off: Understanding Generalization Problem in Image Deraining

Jinjin Gu, Xianzheng Ma, Xiangtao Kong, Yu Qiao, Chao Dong