NeurIPS 2023

3,540 papers

MoVie: Visual Model-Based Policy Adaptation for View Generalization

Sizhe Yang, Yanjie Ze, Huazhe Xu

Generating Images with Multimodal Language Models

Jing Yu Koh, Daniel Fried, Ruslan Salakhutdinov

Look Ma, No Hands! Agent-Environment Factorization of Egocentric Videos

Matthew Chang, Aditya Prakash, Saurabh Gupta

Fairly Recommending with Social Attributes: A Flexible and Controllable Optimization Approach

Jinqiu Jin, Haoxuan Li, Fuli Feng, Sihao Ding, Peng Wu

Hierarchical Open-vocabulary Universal Image Segmentation

Xudong Wang, Shufan Li, Konstantinos Kallidromitis, Yusuke Kato, Kazuki Kozuka

SyncTREE: Fast Timing Analysis for Integrated Circuit Design through a Physics-informed Tree-based Graph Neural Network

Yuting Hu, Jiajie Li, Florian Klemme, Gi-Joon Nam, Tengfei Ma

Combating Bilateral Edge Noise for Robust Link Prediction

Zhanke Zhou, Jiangchao Yao, Jiaxu Liu, Xiawei Guo, Quanming Yao

Fed-CO$_{2}$: Cooperation of Online and Offline Models for Severe Data Heterogeneity in Federated Learning

Zhongyi Cai, Ye Shi, Wei Huang, Jingya Wang

RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions

Lingdong Kong, Shaoyuan Xie, Hanjiang Hu, Lai Xing Ng, Benoit Cottereau

SE(3) Diffusion Model-based Point Cloud Registration for Robust 6D Object Pose Estimation

Haobo Jiang, Mathieu Salzmann, Zheng Dang, Jin Xie, Jian Yang

Into the LAION’s Den: Investigating Hate in Multimodal Datasets

Abeba Birhane, vinay prabhu, Sanghyun Han, Vishnu Boddeti, Sasha Luccioni

AND: Adversarial Neural Degradation for Learning Blind Image Super-Resolution

Fangzhou Luo, Xiaolin Wu, Yanhui Guo

Computing Optimal Nash Equilibria in Multiplayer Games

Youzhi Zhang, Bo An, Venkatramanan Subrahmanian

The Grand Illusion: The Myth of Software Portability and Implications for ML Progress.

Fraser Mince, Dzung Dinh, Jonas Kgomo, Neil Thompson, Sara Hooker

Inferring the Future by Imagining the Past

Kartik Chandra, Tony Chen, Tzu-Mao Li, Jonathan Ragan-Kelley, Josh Tenenbaum

Which Models have Perceptually-Aligned Gradients? An Explanation via Off-Manifold Robustness

Suraj Srinivas, Sebastian Bordt, Himabindu Lakkaraju

Neural-Logic Human-Object Interaction Detection

Liulei Li, Jianan Wei, Wenguan Wang, Yi Yang

Near-optimal learning with average Hölder smoothness

Guy Kornowski, Steve Hanneke, Aryeh Kontorovich

Change point detection and inference in multivariate non-parametric models under mixing conditions

Carlos Misael Madrid Padilla, Haotian Xu, Daren Wang, OSCAR HERNAN MADRID PADILLA, Yi Yu

Wasserstein Gradient Flows for Optimizing Gaussian Mixture Policies

Hanna Ziesche, Leonel Rozo

Data-Centric Learning from Unlabeled Graphs with Diffusion Model

Gang Liu, Eric Inae, Tong Zhao, Jiaxin Xu, Tengfei Luo

Exact Representation of Sparse Networks with Symmetric Nonnegative Embeddings

Sudhanshu Chanpuriya, Ryan Rossi, Anup B. Rao, Tung Mai, Nedim Lipka

Real-World Image Super-Resolution as Multi-Task Learning

Wenlong Zhang, Xiaohui Li, Guangyuan SHI, Xiangyu Chen, Yu Qiao

Multi-resolution Spectral Coherence for Graph Generation with Score-based Diffusion

Hyuna Cho, Minjae Jeong, Sooyeon Jeon, Sungsoo Ahn, Won Hwa Kim

Causal Effect Regularization: Automated Detection and Removal of Spurious Correlations

Abhinav Kumar, Amit Deshpande, Amit Sharma

Test-time Training for Matching-based Video Object Segmentation

Juliette Bertrand, Giorgos Kordopatis Zilos, Yannis Kalantidis, Giorgos Tolias

Slow and Weak Attractor Computation Embedded in Fast and Strong E-I Balanced Neural Dynamics

Xiaohan Lin, Liyuan Li, Boxin Shi, Tiejun Huang, Yuanyuan Mi

The Goldilocks of Pragmatic Understanding: Fine-Tuning Strategy Matters for Implicature Resolution by LLMs

Laura Ruis, Akbir Khan, Stella Biderman, Sara Hooker, Tim Rocktäschel

Mind the spikes: Benign overfitting of kernels and neural networks in fixed dimension

Moritz Haas, David Holzmüller, Ulrike V. Luxburg, Ingo Steinwart

ProPILE: Probing Privacy Leakage in Large Language Models

Siwon Kim, Sangdoo Yun, Hwaran Lee, Martin Gubri, Sungroh Yoon

Paxion: Patching Action Knowledge in Video-Language Foundation Models

Zhenhailong Wang, Ansel Blume, Sha Li, Genglin Liu, Jaemin Cho

Spectral Evolution and Invariance in Linear-width Neural Networks

Zhichao Wang, Andrew Engel, Anand D Sarwate, Ioana Dumitriu, Tony Chiang

LinGCN: Structural Linearized Graph Convolutional Network for Homomorphically Encrypted Inference

Hongwu Peng, Ran Ran, Yukui Luo, Jiahui Zhao, Shaoyi Huang

SnapFusion: Text-to-Image Diffusion Model on Mobile Devices within Two Seconds

Yanyu Li, Huan Wang, Qing Jin, Ju Hu, Pavlo Chemerys

Calibrating “Cheap Signals” in Peer Review without a Prior

Yuxuan Lu, Yuqing Kong

Pseudo-Likelihood Inference

Theo Gruner, Boris Belousov, Fabio Muratore, Daniel Palenicek, Jan R. Peters

Unexpected Improvements to Expected Improvement for Bayesian Optimization

Sebastian Ament, Samuel Daulton, David Eriksson, Maximilian Balandat, Eytan Bakshy

Transition-constant Normalization for Image Enhancement

Jie Huang, man zhou, Jinghao Zhang, Gang Yang, Mingde Yao

Recovering Unbalanced Communities in the Stochastic Block Model with Application to Clustering with a Faulty Oracle

Chandra Sekhar Mukherjee, Pan Peng, Jiapeng Zhang

An Optimal and Scalable Matrix Mechanism for Noisy Marginals under Convex Loss Functions

Yingtai Xiao, Guanlin He, Danfeng Zhang, Daniel Kifer

3D-LLM: Injecting the 3D World into Large Language Models

Yining Hong, Haoyu Zhen, Peihao Chen, Shuhong Zheng, Yilun Du

Benchmarking Encoder-Decoder Architectures for Biplanar X-ray to 3D Bone Shape Reconstruction

Mahesh Shakya, Bishesh Khanal

On kernel-based statistical learning theory in the mean field limit

Christian Fiedler, Michael Herty, Sebastian Trimpe

Online Inventory Problems: Beyond the i.i.d. Setting with Online Convex Optimization

Massil HIHAT, Stephane Gaiffas, Guillaume Garrigos, Simon Bussy

BioMassters: A Benchmark Dataset for Forest Biomass Estimation using Multi-modal Satellite Time-series

Andrea Nascetti, Ritu Yadav, Kirill Brodt, Qixun Qu, Hongwei Fan

Combating Representation Learning Disparity with Geometric Harmonization

Zhihan Zhou, Jiangchao Yao, Feng Hong, Ya Zhang, Bo Han

MAViL: Masked Audio-Video Learners

Po-Yao Huang, Vasu Sharma, Hu Xu, Chaitanya Ryali, haoqi fan

Generative Neural Fields by Mixtures of Neural Implicit Functions

Tackgeun You, Mijeong Kim, Jungtaek Kim, Bohyung Han

Nearest Neighbour with Bandit Feedback

Stephen Pasteris, Chris Hicks, Vasilios Mavroudis

VPGTrans: Transfer Visual Prompt Generator across LLMs

Ao Zhang, Hao Fei, Yuan Yao, Wei Ji, Li Li

Greatness in Simplicity: Unified Self-Cycle Consistency for Parser-Free Virtual Try-On

Chenghu Du, junyin Wang, Shuqing Liu, Shengwu Xiong

VCC: Scaling Transformers to 128K Tokens or More by Prioritizing Important Tokens

Zhanpeng Zeng, Cole Hawkins, Mingyi Hong, Aston Zhang, Nikolaos Pappas

Guarantees for Self-Play in Multiplayer Games via Polymatrix Decomposability

Revan MacQueen, James Wright

Interpretable Reward Redistribution in Reinforcement Learning: A Causal Approach

Yudi Zhang, Yali Du, Biwei Huang, Ziyan Wang, Jun Wang

Quantum Bayesian Optimization

Zhongxiang Dai, Gregory Kang Ruey Lau, Arun Verma, YAO SHU, Bryan Kian Hsiang Low

Towards Efficient and Accurate Winograd Convolution via Full Quantization

Tianqi Chen, Weixiang Xu, Weihan Chen, Peisong Wang, Jian Cheng

Connected Superlevel Set in (Deep) Reinforcement Learning and its Application to Minimax Theorems

Sihan Zeng, Thinh Doan, Justin Romberg

Distributionally Robust Bayesian Optimization with φ-divergences

Hisham Husain, Vu Nguyen, Anton van den Hengel

FlowPG: Action-constrained Policy Gradient with Normalizing Flows

Janaka Brahmanage, Jiajing LING, Akshat Kumar

Model-Free Reinforcement Learning with the Decision-Estimation Coefficient

Dylan J Foster, Noah Golowich, Jian Qian, Alexander Rakhlin, Ayush Sekhari

MotionGPT: Human Motion as a Foreign Language

Biao Jiang, Xin Chen, Wen Liu, Jingyi Yu, Gang Yu

Cross-Scale MAE: A Tale of Multiscale Exploitation in Remote Sensing

Maofeng Tang, Andrei Cozma, Konstantinos Georgiou, Hairong Qi

Two Heads are Better Than One: A Simple Exploration Framework for Efficient Multi-Agent Reinforcement Learning

Jiahui Li, Kun Kuang, Baoxiang Wang, Xingchen Li, Fei Wu

CS4ML: A general framework for active learning with arbitrary data based on Christoffel functions

Juan M. Cardenas, Ben Adcock, Nick Dexter

No Representation Rules Them All in Category Discovery

Sagar Vaze, Andrea Vedaldi, Andrew Zisserman

The Contextual Lasso: Sparse Linear Models via Deep Neural Networks

Ryan Thompson, Amir Dezfouli, Robert Kohn

Trust Region-Based Safe Distributional Reinforcement Learning for Multiple Constraints

Dohyeong Kim, Kyungjae Lee, Songhwai Oh

Unified Off-Policy Learning to Rank: a Reinforcement Learning Perspective

Zeyu Zhang, Yi Su, Hui Yuan, Yiran Wu, Rishab Balasubramanian

Efficient Bayesian Learning Curve Extrapolation using Prior-Data Fitted Networks

Steven Adriaensen, Herilalaina Rakotoarison, Samuel Müller, Frank Hutter

BuildingsBench: A Large-Scale Dataset of 900K Buildings and Benchmark for Short-Term Load Forecasting

Patrick Emami, Abhijeet Sahu, Peter Graf

Sparse Modular Activation for Efficient Sequence Modeling

Liliang Ren, Yang Liu, Shuohang Wang, Yichong Xu, Chenguang Zhu

PUe: Biased Positive-Unlabeled Learning Enhancement by Causal Inference

Xutao Wang, Hanting Chen, Tianyu Guo, Yunhe Wang

Segment Everything Everywhere All at Once

Xueyan Zou, Jianwei Yang, Hao Zhang, Feng Li, Linjie Li

Bayes beats Cross Validation: Efficient and Accurate Ridge Regression via Expectation Maximization

Shu Yu Tew, Mario Boley, Daniel Schmidt

A Theory of Link Prediction via Relational Weisfeiler-Leman on Knowledge Graphs

Xingyue Huang, Miguel Romero, Ismail Ceylan, Pablo Barceló

CHAMMI: A benchmark for channel-adaptive models in microscopy imaging

Zitong Sam Chen, Chau Pham, Siqi Wang, Michael Doron, Nikita Moshkov

First Order Stochastic Optimization with Oblivious Noise

Ilias Diakonikolas, Sushrut Karmalkar, Jong Ho Park, Christos Tzamos

Graph Convolutional Kernel Machine versus Graph Convolutional Networks

zhihao wu, Zhao Zhang, Jicong Fan

Learning Mixtures of Gaussians Using the DDPM Objective

Kulin Shah, Sitan Chen, Adam Klivans

Large Language Models Are Zero-Shot Time Series Forecasters

Nate Gruver, Marc Finzi, Shikai Qiu, Andrew G Wilson

StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models

Yinghao Aaron Li, Cong Han, Vinay Raghavan, Gavin Mischler, Nima Mesgarani

k-Means Clustering with Distance-Based Privacy

Alessandro Epasto, Vahab Mirrokni, Shyam Narayanan, Peilin Zhong

Learning threshold neurons via edge of stability

Kwangjun Ahn, Sébastien Bubeck, Sinho Chewi, Yin Tat Lee, Felipe Suarez

Evolutionary Neural Architecture Search for Transformer in Knowledge Tracing

Shangshang Yang, Xiaoshan Yu, Ye Tian, Xueming Yan, Haiping Ma

A Trichotomy for Transductive Online Learning

Steve Hanneke, Shay Moran, Jonathan Shafer

NeuroGF: A Neural Representation for Fast Geodesic Distance and Path Queries

Qijian Zhang, Junhui Hou, Yohanes Adikusuma, Wenping Wang, Ying He

Quantification of Uncertainty with Adversarial Models

Kajetan Schweighofer, Lukas Aichberger, Mykyta Ielanskyi, Günter Klambauer, Sepp Hochreiter

Locally Invariant Explanations: Towards Stable and Unidirectional Explanations through Local Invariant Learning

Amit Dhurandhar, Karthikeyan Natesan Ramamurthy, Kartik Ahuja, Vijay Arya

Understanding Few-Shot Learning: Measuring Task Relatedness and Adaptation Difficulty via Attributes

Minyang Hu, Hong Chang, Zong Guo, Bingpeng MA, Shiguang Shan

Performance Bounds for Policy-Based Average Reward Reinforcement Learning Algorithms

Yashaswini Murthy, Mehrdad Moharrami, R. Srikant

AIMS: All-Inclusive Multi-Level Segmentation for Anything

Lu Qi, Jason Kuen, Weidong Guo, Jiuxiang Gu, Zhe Lin

A Heavy-Tailed Algebra for Probabilistic Programming

Feynman T Liang, Liam Hodgkinson, Michael W. Mahoney

Learning to Compress Prompts with Gist Tokens

Jesse Mu, Xiang Li, Noah Goodman

Neural Lighting Simulation for Urban Scenes

Ava Pun, Gary Sun, Jingkang Wang, Yun Chen, Ze Yang

User-Level Differential Privacy With Few Examples Per User

Badih Ghazi, Pritish Kamath, Ravi Kumar, Pasin Manurangsi, Raghu Meka

Versatile Energy-Based Probabilistic Models for High Energy Physics

Taoli Cheng, Aaron C. Courville

Projection Regret: Reducing Background Bias for Novelty Detection via Diffusion Models

Sungik Choi, Hankook Lee, Honglak Lee, Moontae Lee

PUCA: Patch-Unshuffle and Channel Attention for Enhanced Self-Supervised Image Denoising

Hyemi Jang, Junsung Park, Dahuin Jung, Jaihyun Lew, Ho Bae

Synthetic Combinations: A Causal Inference Framework for Combinatorial Interventions

Abhineet Agarwal, Anish Agarwal, Suhas Vijaykumar

Alexa Arena: A User-Centric Interactive Platform for Embodied AI

Qiaozi Gao, Govind Thattai, Suhaila Shakiah, Xiaofeng Gao, Shreyas Pansare