NeurIPS 2023

3,540 papers

Opening the Vocabulary of Egocentric Actions

Dibyadip Chatterjee, Fadime Sener, Shugao Ma, Angela Yao

SOL: Sampling-based Optimal Linear bounding of arbitrary scalar functions

Yuriy Biktairov, Jyotirmoy Deshmukh

Statistical Analysis of Quantum State Learning Process in Quantum Neural Networks

Hao-Kai Zhang, Chenghong Zhu, Mingrui Jing, Xin Wang

LOVM: Language-Only Vision Model Selection

Orr Zohar, Shih-Cheng Huang, Kuan-Chieh Wang, Serena Yeung

Feature Likelihood Divergence: Evaluating the Generalization of Generative Models Using Samples

Marco Jiralerspong, Joey Bose, Ian Gemp, Chongli Qin, Yoram Bachrach

Foundation Model is Efficient Multimodal Multitask Model Selector

Fanqing Meng, Wenqi Shao, zhanglin peng, Chonghe Jiang, Kaipeng Zhang

PICProp: Physics-Informed Confidence Propagation for Uncertainty Quantification

Qianli Shen, Wai Hoh Tang, Zhun Deng, Apostolos Psaros, Kenji Kawaguchi

SimFBO: Towards Simple, Flexible and Communication-efficient Federated Bilevel Learning

Yifan Yang, Peiyao Xiao, Kaiyi Ji

Learning Neural Implicit through Volume Rendering with Attentive Depth Fusion Priors

Pengchong Hu, Zhizhong Han

Semantic Image Synthesis with Unconditional Generator

JungWoo Chae, Hyunin Cho, Sooyeon Go, Kyungmook Choi, Youngjung Uh

Factorized Contrastive Learning: Going Beyond Multi-view Redundancy

Paul Pu Liang, Zihao Deng, Martin Q. Ma, James Y Zou, Louis-Philippe Morency

XES3G5M: A Knowledge Tracing Benchmark Dataset with Auxiliary Information

Zitao Liu, Qiongqiong Liu, Teng Guo, Jiahao Chen, Shuyan Huang

Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models

Andy Zhou, Jindong Wang, Yu-Xiong Wang, Haohan Wang

State Regularized Policy Optimization on Data with Dynamics Shift

Zhenghai Xue, Qingpeng Cai, Shuchang Liu, Dong Zheng, Peng Jiang

GUST: Combinatorial Generalization by Unsupervised Grouping with Neuronal Coherence

Hao Zheng, Hui Lin, Rong Zhao

Improving Adversarial Transferability via Intermediate-level Perturbation Decay

Qizhang Li, Yiwen Guo, Wangmeng Zuo, Hao Chen

Self-supervised Object-Centric Learning for Videos

Görkay Aydemir, Weidi Xie, Fatma Guney

BEDD: The MineRL BASALT Evaluation and Demonstrations Dataset for Training and Benchmarking Agents that Solve Fuzzy Tasks

Stephanie Milani, Anssi Kanervisto, Karolis Ramanauskas, Sander Schulhoff, Brandon Houghton

Continuous-time Analysis of Anchor Acceleration

Jaewook Suh, Jisun Park, Ernest Ryu

On the Power of SVD in the Stochastic Block Model

Xinyu Mao, Jiapeng Zhang

Defending Pre-trained Language Models as Few-shot Learners against Backdoor Attacks

Zhaohan Xi, Tianyu Du, Changjiang Li, Ren Pang, Shouling Ji

UniTSFace: Unified Threshold Integrated Sample-to-Sample Loss for Face Recognition

qiufu li, Xi Jia, Jiancan Zhou, Linlin Shen, Jinming Duan

Directional diffusion models for graph representation learning

Run Yang, Yuling Yang, Fan Zhou, Qiang Sun

Unbiased constrained sampling with Self-Concordant Barrier Hamiltonian Monte Carlo

Maxence Noble, Valentin De Bortoli, Alain Durmus

CAT-Walk: Inductive Hypergraph Learning via Set Walks

Ali Behrouz, Farnoosh Hashemi, Sadaf Sadeghian, Margo Seltzer

An active learning framework for multi-group mean estimation

Abdellah Aznag, Rachel Cummings, Adam N. Elmachtoub

Energy Guided Diffusion for Generating Neurally Exciting Images

Pawel Pierzchlewicz, Konstantin Willeke, Arne Nix, Pavithra Elumalai, Kelli Restivo

Precision-Recall Divergence Optimization for Generative Modeling with GANs and Normalizing Flows

Alexandre Verine, Benjamin Negrevergne, Muni Sreenivas Pydi, Yann Chevaleyre

Latent Graph Inference with Limited Supervision

Jianglin Lu, Yi Xu, Huan Wang, Yue Bai, Yun Fu

Causal Component Analysis

Liang Wendong, Armin Kekić, Julius von Kügelgen, Simon Buchholz, Michel Besserve

Circuit as Set of Points

Jialv Zou, Xinggang Wang, Jiahao Guo, Wenyu Liu, Qian Zhang

RePo: Resilient Model-Based Reinforcement Learning by Regularizing Posterior Predictability

Chuning Zhu, Max Simchowitz, Siri Gadipudi, Abhishek Gupta

Cocktail: Mixing Multi-Modality Control for Text-Conditional Image Generation

Minghui Hu, Jianbin Zheng, Daqing Liu, Chuanxia Zheng, Chaoyue Wang

Exponential Lower Bounds for Fictitious Play in Potential Games

Ioannis Panageas, Nikolas Patris, Stratis Skoulakis, Volkan Cevher

Masked Two-channel Decoupling Framework for Incomplete Multi-view Weak Multi-label Learning

Chengliang Liu, Jie Wen, Yabo Liu, Chao Huang, zhihao wu

Embracing the chaos: analysis and diagnosis of numerical instability in variational flows

Zuheng Xu, Trevor Campbell

Continual Learning for Instruction Following from Realtime Feedback

Alane Suhr, Yoav Artzi

Sharp Spectral Rates for Koopman Operator Learning

Vladimir Kostic, Karim Lounici, Pietro Novelli, Massimiliano Pontil

Towards Federated Foundation Models: Scalable Dataset Pipelines for Group-Structured Learning

Zachary Charles, Nicole Mitchell, Krishna Pillutla, Michael Reneer, Zachary Garrett

Monitor-Guided Decoding of Code LMs with Static Analysis of Repository Context

Lakshya A Agrawal, Aditya Kanade, Navin Goyal, Shuvendu Lahiri, Sriram Rajamani

CLIP-OGD: An Experimental Design for Adaptive Neyman Allocation in Sequential Experiments

Jessica Dai, Paula Gradu, Christopher Harshaw

Convolutions Die Hard: Open-Vocabulary Segmentation with Single Frozen Convolutional CLIP

Qihang Yu, Ju He, Xueqing Deng, Xiaohui Shen, Liang-Chieh Chen

PGDiff: Guiding Diffusion Models for Versatile Face Restoration via Partial Guidance

Peiqing Yang, Shangchen Zhou, Qingyi Tao, Chen Change Loy

HyTrel: Hypergraph-enhanced Tabular Data Representation Learning

Pei Chen, Soumajyoti Sarkar, Leonard Lausen, Balasubramaniam Srinivasan, Sheng Zha

NeuroEvoBench: Benchmarking Evolutionary Optimizers for Deep Learning Applications

Robert Lange, Yujin Tang, Yingtao Tian

Encoding Time-Series Explanations through Self-Supervised Model Behavior Consistency

Owen Queen, Tom Hartvigsen, Teddy Koker, Huan He, Theodoros Tsiligkaridis

EICIL: Joint Excitatory Inhibitory Cycle Iteration Learning for Deep Spiking Neural Networks

Zihang Shao, Xuanye Fang, Yaxin Li, Chaoran Feng, Jiangrong Shen

Non-stationary Experimental Design under Linear Trends

David Simchi-Levi, Chonghuan Wang, Zeyu Zheng

Diffusion Probabilistic Models for Structured Node Classification

Hyosoon Jang, Seonghyun Park, Sangwoo Mo, Sungsoo Ahn

Training biologically plausible recurrent neural networks on cognitive tasks with long-term dependencies

Wayne Soo, Vishwa Goudar, Xiao-Jing Wang

Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model

Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel

Federated Learning with Bilateral Curation for Partially Class-Disjoint Data

Ziqing Fan, Ruipeng Zhang, Jiangchao Yao, Bo Han, Ya Zhang

Uncovering Meanings of Embeddings via Partial Orthogonality

Yibo Jiang, Bryon Aragam, Victor Veitch

Large Language Models as Commonsense Knowledge for Large-Scale Task Planning

Zirui Zhao, Wee Sun Lee, David Hsu

Implicit Regularization in Over-Parameterized Support Vector Machine

Yang Sui, XIN HE, Yang Bai

Sampling from Structured Log-Concave Distributions via a Soft-Threshold Dikin Walk

Oren Mangoubi, Nisheeth K. Vishnoi

Compressed Video Prompt Tuning

Bing Li, JIAXIN CHEN, Xiuguo Bao, Di Huang

NAP: Neural 3D Articulated Object Prior

Jiahui Lei, Congyue Deng, William B Shen, Leonidas Guibas, Kostas Daniilidis

Online Map Vectorization for Autonomous Driving: A Rasterization Perspective

Gongjie Zhang, Jiahao Lin, Shuang Wu, yilin song, Zhipeng Luo

Learning World Models with Identifiable Factorization

Yuren Liu, Biwei Huang, Zhengmao Zhu, Honglong Tian, Mingming Gong

Accelerating Reinforcement Learning with Value-Conditional State Entropy Exploration

Dongyoung Kim, Jinwoo Shin, Pieter Abbeel, Younggyo Seo

Latent Field Discovery in Interacting Dynamical Systems with Neural Fields

Miltiadis (Miltos) Kofinas, Erik Bekkers, Naveen Nagaraja, Efstratios Gavves

Hierarchical clustering with dot products recovers hidden tree structure

Annie Gray, Alexander Modell, Patrick Rubin-Delanchy, Nick Whiteley

Stability and Generalization of the Decentralized Stochastic Gradient Descent Ascent Algorithm

Miaoxi Zhu, Li Shen, Bo Du, Dacheng Tao

Structured Voronoi Sampling

Afra Amini, Li Du, Ryan Cotterell

HyPoradise: An Open Baseline for Generative Speech Recognition with Large Language Models

Chen Chen, Yuchen Hu, Chao-Han Huck Yang, Sabato Marco Siniscalchi, Pin-Yu Chen

Demystifying the Optimal Performance of Multi-Class Classification

Minoh Jeong, Martina Cardone, Alex Dytso

Template-free Articulated Neural Point Clouds for Reposable View Synthesis

Lukas Uzolas, Elmar Eisemann, Petr Kellnhofer

Augmentation-Aware Self-Supervision for Data-Efficient GAN Training

Liang Hou, Qi Cao, Yige Yuan, Songtao Zhao, Chongyang Ma

Multi-Fidelity Multi-Armed Bandits Revisited

Xuchuang Wang, Qingyun Wu, Wei Chen, John C.S. Lui

Stability of Random Forests and Coverage of Random-Forest Prediction Intervals

Yan Wang, Huaiqing Wu, Dan Nettleton

Improving Language Plasticity via Pretraining with Active Forgetting

Yihong Chen, Kelly Marchisio, Roberta Raileanu, David Adelani, Pontus Lars Erik Saito Stenetorp

Focus on Query: Adversarial Mining Transformer for Few-Shot Segmentation

Yuan Wang, Naisong Luo, Tianzhu Zhang

Parsel🐍: Algorithmic Reasoning with Language Models by Composing Decompositions

Eric Zelikman, Qian Huang, Gabriel Poesia, Noah Goodman, Nick Haber

Causal Interpretation of Self-Attention in Pre-Trained Transformers

Raanan Y. Rohekar, Yaniv Gurwicz, Shami Nisimov

MagicBrush: A Manually Annotated Dataset for Instruction-Guided Image Editing

Kai Zhang, Lingbo Mo, Wenhu Chen, Huan Sun, Yu Su

Actively Testing Your Model While It Learns: Realizing Label-Efficient Learning in Practice

Dayou Yu, Weishi Shi, Qi Yu

Practical and Asymptotically Exact Conditional Sampling in Diffusion Models

Luhuan Wu, Brian Trippe, Christian Naesseth, David M. Blei, John P. Cunningham

Three Towers: Flexible Contrastive Learning with Pretrained Image Models

Jannik Kossen, Mark Collier, Basil Mustafa, Xiao Wang, Xiaohua Zhai

DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models

Boxin Wang, Weixin Chen, Hengzhi Pei, Chulin Xie, Mintong Kang

Joint Bayesian Inference of Graphical Structure and Parameters with a Single Generative Flow Network

Tristan Deleu, Mizu Nishikawa-Toomey, Jithendaraa Subramanian, Nikolay Malkin, Laurent Charlin

Logarithmic-Regret Quantum Learning Algorithms for Zero-Sum Games

Minbo Gao, Zhengfeng Ji, Tongyang Li, Qisheng Wang

Differentiable Clustering with Perturbed Spanning Forests

Lawrence Stewart, Francis R. Bach, Felipe Llinares-López, Quentin Berthet

A Hierarchical Training Paradigm for Antibody Structure-sequence Co-design

Fang Wu, Stan Z. Li

Contrastive Retrospection: honing in on critical steps for rapid learning and generalization in RL

Chen Sun, Wannan Yang, Thomas Jiralerspong, Dane Malenfant, Benjamin Alsbury-Nealy

SugarCrepe: Fixing Hackable Benchmarks for Vision-Language Compositionality

Cheng-Yu Hsieh, Jieyu Zhang, Zixian Ma, Aniruddha Kembhavi, Ranjay Krishna

Riemannian Laplace approximations for Bayesian neural networks

Federico Bergamin, Pablo Moreno-Muñoz, Søren Hauberg, Georgios Arvanitidis

CLadder: Assessing Causal Reasoning in Language Models

Zhijing Jin, Yuen Chen, Felix Leeb, Luigi Gresele, Ojasv Kamal

LightSpeed: Light and Fast Neural Light Fields on Mobile Devices

Aarush Gupta, Junli Cao, Chaoyang Wang, Ju Hu, Sergey Tulyakov

CORL: Research-oriented Deep Offline Reinforcement Learning Library

Denis Tarasov, Alexander Nikulin, Dmitry Akimov, Vladislav Kurenkov, Sergey Kolesnikov

AiluRus: A Scalable ViT Framework for Dense Prediction

Jin Li, Yaoming Wang, XIAOPENG ZHANG, Bowen Shi, Dongsheng Jiang

Improved Best-of-Both-Worlds Guarantees for Multi-Armed Bandits: FTRL with General Regularizers and Multiple Optimal Arms

Tiancheng Jin, Junyan Liu, Haipeng Luo

QATCH: Benchmarking SQL-centric tasks with Table Representation Learning Models on Your Data

Simone Papicchio, Paolo Papotti, Luca Cagliero

Implicit Contrastive Representation Learning with Guided Stop-gradient

Byeongchan Lee, Sehyun Lee

Language-driven Scene Synthesis using Multi-conditional Diffusion Model

An Dinh Vuong, Minh Nhat VU, Toan Nguyen, Baoru Huang, Dzung Nguyen

Can Language Models Solve Graph Problems in Natural Language?

Heng Wang, Shangbin Feng, Tianxing He, Zhaoxuan Tan, Xiaochuang Han

Enhancing User Intent Capture in Session-Based Recommendation with Attribute Patterns

Xin Liu, Zheng Li, Yifan Gao, Jingfeng Yang, Tianyu Cao

Flat Seeking Bayesian Neural Networks

Van-Anh Nguyen, Tung-Long Vuong, Hoang Phan, Thanh-Toan Do, Dinh Phung

List and Certificate Complexities in Replicable Learning

Peter Dixon, A. Pavan, Jason Vander Woude, N. V. Vinodchandran

Finding Order in Chaos: A Novel Data Augmentation Method for Time Series in Contrastive Learning

Berken Utku Demirel, Christian Holz