NeurIPS 2023

3,540 papers

Information Theoretic Lower Bounds for Information Theoretic Upper Bounds

Roi Livni

Universal Online Learning with Gradient Variations: A Multi-layer Online Ensemble Approach

Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou

PyNeRF: Pyramidal Neural Radiance Fields

Haithem Turki, Michael Zollhöfer, Christian Richardt, Deva Ramanan

Adversarial Robustness through Random Weight Sampling

Yanxiang Ma, Minjing Dong, Chang Xu

Improving Diffusion-Based Image Synthesis with Context Prediction

Ling Yang, Jingwei Liu, Shenda Hong, Zhilong Zhang, Zhilin Huang

LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios

Yazhe Niu, YUAN PU, Zhenjie Yang, Xueyan Li, Tong Zhou

SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning

Benjamin Ellis, Jonathan Cook, Skander Moalla, Mikayel Samvelyan, Mingfei Sun

NetHack is Hard to Hack

Ulyana Piterbarg, Lerrel Pinto, Rob Fergus

On the Variance, Admissibility, and Stability of Empirical Risk Minimization

Gil Kur, Eli Putterman, Alexander Rakhlin

DesCo: Learning Object Recognition with Rich Language Descriptions

Liunian Li, Zi-Yi Dou, Nanyun Peng, Kai-Wei Chang

Is This Loss Informative? Faster Text-to-Image Customization by Tracking Objective Dynamics

Anton Voronov, Mikhail Khoroshikh, Artem Babenko, Max Ryabinin

AV-NeRF: Learning Neural Fields for Real-World Audio-Visual Scene Synthesis

Susan Liang, Chao Huang, Yapeng Tian, Anurag Kumar, Chenliang Xu

Optimized Covariance Design for AB Test on Social Network under Interference

Qianyi Chen, Bo Li, Lu Deng, Yong Wang

Is Distance Matrix Enough for Geometric Deep Learning?

Zian Li, Xiyuan Wang, Yinan Huang, Muhan Zhang

Knowledge-based in silico models and dataset for the comparative evaluation of mammography AI for a range of breast characteristics, lesion conspicuities and doses

Elena Sizikova, Niloufar Saharkhiz, Diksha Sharma, Miguel Lago, Berkman Sahiner

Continuous-Time Functional Diffusion Processes

Giulio Franzese, Giulio Corallo, Simone Rossi, Markus Heinonen, Maurizio Filippone

Multi-Player Zero-Sum Markov Games with Networked Separable Interactions

Chanwoo Park, Kaiqing Zhang, Asuman Ozdaglar

TensorNet: Cartesian Tensor Representations for Efficient Learning of Molecular Potentials

Guillem Simeon, Gianni De Fabritiis

Adversarial Self-Training Improves Robustness and Generalization for Gradual Domain Adaptation

Lianghe Shi, Weiwei Liu

A Theory of Unsupervised Translation Motivated by Understanding Animal Communication

Shafi Goldwasser, David Gruber, Adam Tauman Kalai, Orr Paradise

CosNet: A Generalized Spectral Kernel Network

Yanfang Xue, Pengfei Fang, Jinyue Tian, Shipeng Zhu, hui xue

SPA: A Graph Spectral Alignment Perspective for Domain Adaptation

Zhiqing Xiao, Haobo Wang, Ying Jin, Lei Feng, Gang Chen

Time Series Kernels based on Nonlinear Vector AutoRegressive Delay Embeddings

Giovanni De Felice, John Goulermas, Vladimir Gusev

Segment Any Point Cloud Sequences by Distilling Vision Foundation Models

Youquan Liu, Lingdong Kong, Jun CEN, Runnan Chen, Wenwei Zhang

Estimating and Controlling for Equalized Odds via Sensitive Attribute Predictors

Beepul Bharti, Paul Yi, Jeremias Sulam

StreamNet: Memory-Efficient Streaming Tiny Deep Learning Inference on the Microcontroller

Hong-Sheng Zheng, Yu-Yuan Liu, Chen-Fong Hsu, Tsung Tai Yeh

Deep Reinforcement Learning with Plasticity Injection

Evgenii Nikishin, Junhyuk Oh, Georg Ostrovski, Clare Lyle, Razvan Pascanu

Uncertainty Quantification via Neural Posterior Principal Components

Elias Nehme, Omer Yair, Tomer Michaeli

Greedy Poisson Rejection Sampling

Gergely Flamich

Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatment

Yutong Xia, Yuxuan Liang, Haomin Wen, Xu Liu, Kun Wang

Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All?

Haitao Mao, Zhikai Chen, Wei Jin, Haoyu Han, Yao Ma

Interaction Measures, Partition Lattices and Kernel Tests for High-Order Interactions

Zhaolu Liu, Robert Peach, Pedro A.M Mediano, Mauricio Barahona

Language Model Tokenizers Introduce Unfairness Between Languages

Aleksandar Petrov, Emanuele La Malfa, Philip Torr, Adel Bibi

OpenIllumination: A Multi-Illumination Dataset for Inverse Rendering Evaluation on Real Objects

Isabella Liu, Linghao Chen, Ziyang Fu, Liwen Wu, Haian Jin

On Slicing Optimality for Mutual Information

Ammar Fayad, Majd Ibrahim

Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning

Yihua Zhang, Yimeng Zhang, Aochuan Chen, Jinghan Jia, Jiancheng Liu

Sampling from Gaussian Process Posteriors using Stochastic Gradient Descent

Jihao Andreas Lin, Javier Antoran, Shreyas Padhy, David Janz, José Miguel Hernández-Lobato

Automated Classification of Model Errors on ImageNet

Momchil Peychev, Mark Müller, Marc Fischer, Martin Vechev

Computing Approximate ℓ_p Sensitivities

Swati Padmanabhan, David Woodruff, Richard Zhang

Emergent Communication in Interactive Sketch Question Answering

Zixing Lei, Yiming Zhang, Yuxin Xiong, Siheng Chen

Online Control for Meta-optimization

Xinyi Chen, Elad Hazan

An Optimal Structured Zeroth-order Algorithm for Non-smooth Optimization

Marco Rando, Cesare Molinari, Lorenzo Rosasco, Silvia Villa

Mobilizing Personalized Federated Learning in Infrastructure-Less and Heterogeneous Environments via Random Walk Stochastic ADMM

Ziba Parsons, Fei Dou, Houyi Du, Zheng Song, Jin Lu

On the Relationship Between Relevance and Conflict in Online Social Link Recommendations

Yanbang Wang, Jon M. Kleinberg

Representational Strengths and Limitations of Transformers

Clayton Sanford, Daniel J. Hsu, Matus J. Telgarsky

Decorate3D: Text-Driven High-Quality Texture Generation for Mesh Decoration in the Wild

Yanhui Guo, Xinxin Zuo, Peng Dai, Juwei Lu, Xiaolin Wu

Pick-a-Pic: An Open Dataset of User Preferences for Text-to-Image Generation

Yuval Kirstain, Adam Polyak, Uriel Singer, Shahbuland Matiana, Joe Penna

The Learnability of In-Context Learning

Noam Wies, Yoav Levine, Amnon Shashua

AbdomenAtlas-8K: Annotating 8,000 CT Volumes for Multi-Organ Segmentation in Three Weeks

Chongyu Qu, Tiezheng Zhang, Hualin Qiao, Jie Liu, Yucheng Tang

GeoPhy: Differentiable Phylogenetic Inference via Geometric Gradients of Tree Topologies

Takahiro Mimori, Michiaki Hamada

Sharp Calibrated Gaussian Processes

Alexandre Capone, Sandra Hirche, Geoff Pleiss

When can Regression-Adjusted Control Variate Help? Rare Events, Sobolev Embedding and Minimax Optimality

Jose Blanchet, Haoxuan Chen, Yiping Lu, Lexing Ying

GNeSF: Generalizable Neural Semantic Fields

Hanlin Chen, Chen Li, Mengqi Guo, Zhiwen Yan, Gim Hee Lee

Optimal Transport-Guided Conditional Score-Based Diffusion Model

Xiang Gu, Liwei Yang, Jian Sun, Zongben Xu

Scalable Primal-Dual Actor-Critic Method for Safe Multi-Agent RL with General Utilities

Donghao Ying, Yunkai Zhang, Yuhao Ding, Alec Koppel, Javad Lavaei

Contrastive Modules with Temporal Attention for Multi-Task Reinforcement Learning

Siming Lan, Rui Zhang, Qi Yi, Jiaming Guo, shaohui peng

Batch Bayesian Optimization For Replicable Experimental Design

Zhongxiang Dai, Quoc Phong Nguyen, Sebastian Tay, Daisuke Urano, Richalynn Leong

Causal de Finetti: On the Identification of Invariant Causal Structure in Exchangeable Data

Siyuan Guo, Viktor Toth, Bernhard Schölkopf, Ferenc Huszar

Implicit Transfer Operator Learning: Multiple Time-Resolution Models for Molecular Dynamics

Mathias Schreiner, Ole Winther, Simon Olsson

Rigorous Runtime Analysis of MOEA/D for Solving Multi-Objective Minimum Weight Base Problems

Anh Viet Do, Aneta Neumann, Frank Neumann, Andrew Sutton

Deductive Verification of Chain-of-Thought Reasoning

Zhan Ling, Yunhao Fang, Xuanlin Li, Zhiao Huang, Mingu Lee

Uncoupled and Convergent Learning in Two-Player Zero-Sum Markov Games with Bandit Feedback

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

Scaling Up Differentially Private LASSO Regularized Logistic Regression via Faster Frank-Wolfe Iterations

Edward Raff, Amol Khanna, Fred Lu

DIN-SQL: Decomposed In-Context Learning of Text-to-SQL with Self-Correction

Mohammadreza Pourreza, Davood Rafiei

Neural Graph Generation from Graph Statistics

Kiarash Zahirnia, Yaochen Hu, Mark Coates, Oliver Schulte

PAC-Bayesian Spectrally-Normalized Bounds for Adversarially Robust Generalization

Jiancong Xiao, Ruoyu Sun, Zhi-Quan Luo

Efficient Symbolic Policy Learning with Differentiable Symbolic Expression

Jiaming Guo, Rui Zhang, shaohui peng, Qi Yi, Xing Hu

GLIME: General, Stable and Local LIME Explanation

Zeren Tan, Yang Tian, Jian Li

Uncertainty Estimation for Safety-critical Scene Segmentation via Fine-grained Reward Maximization

Hongzheng Yang, Cheng Chen, Yueyao CHEN, Scheppach, Hon Chi Yip

Training Fully Connected Neural Networks is $\exists\mathbb{R}$-Complete

Daniel Bertschinger, Christoph Hertrich, Paul Jungeblut, Tillmann Miltzow, Simon Weber

Corruption-Robust Offline Reinforcement Learning with General Function Approximation

Chenlu Ye, Rui Yang, Quanquan Gu, Tong Zhang

Memory-Efficient Fine-Tuning of Compressed Large Language Models via sub-4-bit Integer Quantization

Jeonghoon Kim, Sungdong Kim, Joonsuk Park, Kang Min Yoo, Se Jung Kwon

Global Identifiability of ℓ_1-based Dictionary Learning via Matrix Volume Optimization

Jingzhou Hu, Kejun Huang

Epidemic Learning: Boosting Decentralized Learning with Randomized Communication

Martijn De Vos, Sadegh Farhadkhani, Rachid Guerraoui, Anne-marie Kermarrec, Rafael Pires

Discriminative Calibration: Check Bayesian Computation from Simulations and Flexible Classifier

Yuling Yao, Justin Domke

Learning to Influence Human Behavior with Offline Reinforcement Learning

Joey Hong, Sergey Levine, Anca Dragan

Sample Complexity of Forecast Aggregation

Tao LIN, Yiling Chen

Strategic Behavior in Two-sided Matching Markets with Prediction-enhanced Preference-formation

Stefania Ionescu, Yuhao Du, Kenneth Joseph, Ancsa Hannak

Skill-it! A data-driven skills framework for understanding and training language models

Mayee Chen, Nicholas Roberts, Kush Bhatia, Jue Wang, Ce Zhang

Saving 100x Storage: Prototype Replay for Reconstructing Training Sample Distribution in Class-Incremental Semantic Segmentation

Jinpeng Chen, Runmin Cong, Yuxuan LUO, Horace Ip, Sam Kwong

Anonymous Learning via Look-Alike Clustering: A Precise Analysis of Model Generalization

Adel Javanmard, Vahab Mirrokni

NuTrea: Neural Tree Search for Context-guided Multi-hop KGQA

Hyeong Kyu Choi, Seunghun Lee, Jaewon Chu, Hyunwoo J Kim

ImageNet-Hard: The Hardest Images Remaining from a Study of the Power of Zoom and Spatial Biases in Image Classification

Mohammad Reza Taesiri, Giang Nguyen, Sarra Habchi, Cor-Paul Bezemer, Anh Nguyen

Differentially Private Image Classification by Learning Priors from Random Processes

Xinyu Tang, Ashwinee Panda, Vikash Sehwag, Prateek Mittal

Geometry-Informed Neural Operator for Large-Scale 3D PDEs

Zongyi Li, Nikola Kovachki, Chris Choy, Boyi Li, Jean Kossaifi

Should We Learn Most Likely Functions or Parameters?

Shikai Qiu, Tim G. J. Rudner, Sanyam Kapoor, Andrew G Wilson

Objaverse-XL: A Universe of 10M+ 3D Objects

Matt Deitke, Ruoshi Liu, Matthew Wallingford, Huong Ngo, Oscar Michel

A Framework for Fast and Stable Representations of Multiparameter Persistent Homology Decompositions

David Loiseaux, Mathieu Carrière, Andrew Blumberg

Gradient Descent with Linearly Correlated Noise: Theory and Applications to Differential Privacy

Anastasiia Koloskova, Ryan McKenna, Zachary Charles, John Rush, H. Brendan McMahan

RD-Suite: A Benchmark for Ranking Distillation

Zhen Qin, Rolf Jagerman, Rama Kumar Pasumarthi, Honglei Zhuang, He Zhang

Understanding Multi-phase Optimization Dynamics and Rich Nonlinear Behaviors of ReLU Networks

Mingze Wang, Chao Ma

Learning Mask-aware CLIP Representations for Zero-Shot Segmentation

siyu jiao, Yunchao Wei, Yaowei Wang, Yao Zhao, Humphrey Shi

Stochastic Multi-armed Bandits: Optimal Trade-off among Optimality, Consistency, and Tail Risk

David Simchi-Levi, Zeyu Zheng, Feng Zhu

RGMIL: Guide Your Multiple-Instance Learning Model with Regressor

Zhaolong Du, Shasha Mao, Yimeng Zhang, Shuiping Gou, Licheng Jiao

MIMEx: Intrinsic Rewards from Masked Input Modeling

Toru Lin, Allan Jabri

Extensible Prompts for Language Models on Zero-shot Language Style Customization

Tao Ge, Hu Jing, Li Dong, Shaoguang Mao, Yan Xia

Improving CLIP Training with Language Rewrites

Lijie Fan, Dilip Krishnan, Phillip Isola, Dina Katabi, Yonglong Tian

Unlimiformer: Long-Range Transformers with Unlimited Length Input

Amanda Bertsch, Uri Alon, Graham Neubig, Matthew Gormley

Top-Ambiguity Samples Matter: Understanding Why Deep Ensemble Works in Selective Classification

Qiang Ding, Yixuan Cao, Ping Luo

Geometric Algebra Transformer

Johann Brehmer, Pim de Haan, Sönke Behrends, Taco S Cohen