NeurIPS 2023

3,540 papers

FABind: Fast and Accurate Protein-Ligand Binding

Qizhi Pei, Kaiyuan Gao, Lijun Wu, Jinhua Zhu, Yingce Xia

A U-turn on Double Descent: Rethinking Parameter Counting in Statistical Learning

Alicia Curth, Alan Jeffares, Mihaela van der Schaar

Binary Radiance Fields

Seungjoo Shin, Jaesik Park

Provable Guarantees for Neural Networks via Gradient Feature Learning

Zhenmei Shi, Junyi Wei, Yingyu Liang

Stochastic Approximation Algorithms for Systems of Interacting Particles

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

Optimal privacy guarantees for a relaxed threat model: Addressing sub-optimal adversaries in differentially private machine learning

Georgios Kaissis, Alexander Ziller, Stefan Kolek, Anneliese Riess, Daniel Rueckert

GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation

Mingxuan Ju, Tong Zhao, Wenhao Yu, Neil Shah, Yanfang Ye

Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias

Yue Yu, Yuchen Zhuang, Jieyu Zhang, Yu Meng, Alexander J Ratner

Importance-aware Co-teaching for Offline Model-based Optimization

Ye Yuan, Can (Sam) Chen, Zixuan Liu, Willie Neiswanger, Xue (Steve) Liu

Contrast Everything: A Hierarchical Contrastive Framework for Medical Time-Series

Yihe Wang, Yu Han, Haishuai Wang, Xiang Zhang

RoboCLIP: One Demonstration is Enough to Learn Robot Policies

Sumedh Sontakke, Jesse Zhang, Séb Arnold, Karl Pertsch, Erdem Bıyık

Chanakya: Learning Runtime Decisions for Adaptive Real-Time Perception

Anurag Ghosh, Vaibhav Balloli, Akshay Nambi, Aditya Singh, Tanuja Ganu

FaceDNeRF: Semantics-Driven Face Reconstruction, Prompt Editing and Relighting with Diffusion Models

Hao Zhang, Tianyuan DAI, Yanbo Xu, Yu-Wing Tai, Chi-Keung Tang

The Exact Sample Complexity Gain from Invariances for Kernel Regression

Behrooz Tahmasebi, Stefanie Jegelka

Reward-agnostic Fine-tuning: Provable Statistical Benefits of Hybrid Reinforcement Learning

Gen Li, Wenhao Zhan, Jason Lee, Yuejie Chi, Yuxin Chen

Are Emergent Abilities of Large Language Models a Mirage?

Rylan Schaeffer, Brando Miranda, Sanmi Koyejo

Active Bipartite Ranking

James Cheshire, Vincent Laurent, Stéphan Clémençon

DPM-Solver-v3: Improved Diffusion ODE Solver with Empirical Model Statistics

Kaiwen Zheng, Cheng Lu, Jianfei Chen, Jun Zhu

Efficient Learning of Linear Graph Neural Networks via Node Subsampling

Seiyun Shin, Ilan Shomorony, Han Zhao

Improvements on Uncertainty Quantification for Node Classification via Distance Based Regularization

Russell Hart, Linlin Yu, Yifei Lou, Feng Chen

Efficient Policy Adaptation with Contrastive Prompt Ensemble for Embodied Agents

wonje choi, Woo Kyung Kim, SeungHyun Kim, Honguk Woo

A case for reframing automated medical image classification as segmentation

Sarah Hooper, Mayee Chen, Khaled Saab, Kush Bhatia, Curtis Langlotz

Latent Space Translation via Semantic Alignment

Valentino Maiorca, Luca Moschella, Antonio Norelli, Marco Fumero, Francesco Locatello

Taming Local Effects in Graph-based Spatiotemporal Forecasting

Andrea Cini, Ivan Marisca, Daniele Zambon, Cesare Alippi

Meta-Adapter: An Online Few-shot Learner for Vision-Language Model

cheng cheng, Lin Song, Ruoyi Xue, Hang Wang, Hongbin Sun

Ethical Considerations for Responsible Data Curation

Jerone Andrews, Dora Zhao, William Thong, Apostolos Modas, Orestis Papakyriakopoulos

GloptiNets: Scalable Non-Convex Optimization with Certificates

Gaspard Beugnot, Julien Mairal, Alessandro Rudi

Context-PIPs: Persistent Independent Particles Demands Spatial Context Features

Weikang Bian, Zhaoyang Huang, Xiaoyu Shi, Yitong Dong, Yijin Li

A General Framework for Equivariant Neural Networks on Reductive Lie Groups

Ilyes Batatia, Mario Geiger, Jose Munoz, Tess Smidt, Lior Silberman

Bucks for Buckets (B4B): Active Defenses Against Stealing Encoders

Jan Dubiński, Stanisław Pawlak, Franziska Boenisch, Tomasz Trzcinski, Adam Dziedzic

Tree-Based Diffusion Schrödinger Bridge with Applications to Wasserstein Barycenters

Maxence Noble, Valentin De Bortoli, Arnaud Doucet, Alain Durmus

Fantastic Weights and How to Find Them: Where to Prune in Dynamic Sparse Training

Aleksandra Nowak, Bram Grooten, Decebal Constantin Mocanu, Jacek Tabor

YouTubePD: A Multimodal Benchmark for Parkinson’s Disease Analysis

Andy Zhou, Samuel Li, Pranav Sriram, Xiang Li, Jiahua Dong

Long-Term Fairness with Unknown Dynamics

Tongxin Yin, Reilly Raab, mingyan liu, Yang Liu

Federated Learning with Manifold Regularization and Normalized Update Reaggregation

Xuming An, Li Shen, Han Hu, Yong Luo

Molecule Joint Auto-Encoding: Trajectory Pretraining with 2D and 3D Diffusion

weitao Du, Jiujiu Chen, Xuecang Zhang, Zhi-ming Ma, Shengchao Liu

On the Role of Entanglement and Statistics in Learning

Srinivasan Arunachalam, Vojtech Havlicek, Louis Schatzki

Unified Enhancement of Privacy Bounds for Mixture Mechanisms via f-Differential Privacy

Chendi Wang, Buxin Su, Jiayuan Ye, Reza Shokri, Weijie Su

Generating QM1B with PySCF_IPU

Alexander Mathiasen, Hatem Helal, Kerstin Klaser, Paul Balanca, Josef Dean

Bi-Level Offline Policy Optimization with Limited Exploration

Wenzhuo Zhou

LIMA: Less Is More for Alignment

Chunting Zhou, Pengfei Liu, Puxin Xu, Srinivasan Iyer, Jiao Sun

Dynamo-Depth: Fixing Unsupervised Depth Estimation for Dynamical Scenes

Yihong Sun, Bharath Hariharan

Tree Variational Autoencoders

Laura Manduchi, Moritz Vandenhirtz, Alain Ryser, Julia Vogt

Wide Neural Networks as Gaussian Processes: Lessons from Deep Equilibrium Models

Tianxiang Gao, Xiaokai Huo, Hailiang Liu, Hongyang Gao

Model-enhanced Vector Index

Hailin Zhang, Yujing Wang, Qi Chen, Ruiheng Chang, Ting Zhang

Structure of universal formulas

Dmitry Yarotsky

A benchmark of categorical encoders for binary classification

Federico Matteucci, Vadim Arzamasov, Klemens Böhm

An Iterative Self-Learning Framework for Medical Domain Generalization

Zhenbang Wu, Huaxiu Yao, David Liebovitz, Jimeng Sun

Lung250M-4B: A Combined 3D Dataset for CT- and Point Cloud-Based Intra-Patient Lung Registration

Fenja Falta, Christoph Großbröhmer, Alessa Hering, Alexander Bigalke, Mattias Heinrich

A Holistic Approach to Unifying Automatic Concept Extraction and Concept Importance Estimation

Thomas FEL, Victor Boutin, Louis Béthune, Remi Cadene, Mazda Moayeri

Private Everlasting Prediction

Moni Naor, Kobbi Nissim, Uri Stemmer, Chao Yan

ALGO: Synthesizing Algorithmic Programs with Generated Oracle Verifiers

Kexun Zhang, Danqing Wang, Jingtao Xia, William Yang Wang, Lei Li

Universality laws for Gaussian mixtures in generalized linear models

Yatin Dandi, Ludovic Stephan, Florent Krzakala, Bruno Loureiro, Lenka Zdeborová

Model-Free Active Exploration in Reinforcement Learning

Alessio Russo, Alexandre Proutiere

Autonomous Capability Assessment of Sequential Decision-Making Systems in Stochastic Settings

Pulkit Verma, Rushang Karia, Siddharth Srivastava

Learning Unseen Modality Interaction

Yunhua Zhang, Hazel Doughty, Cees Snoek

No-Regret Online Prediction with Strategic Experts

Omid Sadeghi, Maryam Fazel

DatasetDM: Synthesizing Data with Perception Annotations Using Diffusion Models

Weijia Wu, Yuzhong Zhao, Hao Chen, Yuchao Gu, Rui Zhao

On the explainable properties of 1-Lipschitz Neural Networks: An Optimal Transport Perspective

Mathieu Serrurier, Franck Mamalet, Thomas FEL, Louis Béthune, Thibaut Boissin

Generative Category-level Object Pose Estimation via Diffusion Models

Jiyao Zhang, Mingdong Wu, Hao Dong

Removing Hidden Confounding in Recommendation: A Unified Multi-Task Learning Approach

Haoxuan Li, Kunhan Wu, Chunyuan Zheng, Yanghao Xiao, Hao Wang

Egocentric Planning for Scalable Embodied Task Achievement

Xiatoian Liu, Hector Palacios, Christian Muise

Random-Access Infinite Context Length for Transformers

Amirkeivan Mohtashami, Martin Jaggi

GAN You See Me? Enhanced Data Reconstruction Attacks against Split Inference

Ziang Li, Mengda Yang, Yaxin Liu, Juan Wang, Hongxin Hu

Imbalanced Mixed Linear Regression

Pini Zilber, Boaz Nadler

Sparse Deep Learning for Time Series Data: Theory and Applications

Mingxuan Zhang, Yan Sun, Faming Liang

Fine-Grained Theoretical Analysis of Federated Zeroth-Order Optimization

Jun Chen, Hong Chen, Bin Gu, Hao Deng

Guide Your Agent with Adaptive Multimodal Rewards

Changyeon Kim, Younggyo Seo, Hao Liu, Lisa Lee, Jinwoo Shin

DISCO-10M: A Large-Scale Music Dataset

Luca Lanzendörfer, Florian Grötschla, Emil Funke, Roger Wattenhofer

Domain Watermark: Effective and Harmless Dataset Copyright Protection is Closed at Hand

Junfeng Guo, Yiming Li, Lixu Wang, Shu-Tao Xia, Heng Huang

Incentivized Communication for Federated Bandits

Zhepei Wei, Chuanhao Li, Haifeng Xu, Hongning Wang

Robust Second-Order Nonconvex Optimization and Its Application to Low Rank Matrix Sensing

Shuyao Li, Yu Cheng, Ilias Diakonikolas, Jelena Diakonikolas, Rong Ge

Fair Allocation of Indivisible Chores: Beyond Additive Costs

Bo Li, Fangxiao Wang, Yu Zhou

Human spatiotemporal pattern learning as probabilistic program synthesis

Tracey Mills, Josh Tenenbaum, Samuel Cheyette

Provably Safe Reinforcement Learning with Step-wise Violation Constraints

Nuoya Xiong, Yihan Du, Longbo Huang

Long Sequence Hopfield Memory

Hamza Chaudhry, Jacob Zavatone-Veth, Dmitry Krotov, Cengiz Pehlevan

Decompose Novel into Known: Part Concept Learning For 3D Novel Class Discovery

Tingyu Weng, Jun Xiao, Haiyong Jiang

The Shaped Transformer: Attention Models in the Infinite Depth-and-Width Limit

Lorenzo Noci, Chuning Li, Mufan Li, Bobby He, Thomas Hofmann

Is Learning in Games Good for the Learners?

William Brown, Jon Schneider, Kiran Vodrahalli

MarioGPT: Open-Ended Text2Level Generation through Large Language Models

Shyam Sudhakaran, Miguel González-Duque, Matthias Freiberger, Claire Glanois, Elias Najarro

Curriculum Learning With Infant Egocentric Videos

Saber Sheybani, Himanshu Hansaria, Justin Wood, Linda Smith, Zoran Tiganj

LEPARD: Learning Explicit Part Discovery for 3D Articulated Shape Reconstruction

Di Liu, Anastasis Stathopoulos, Qilong Zhangli, Yunhe Gao, Dimitris Metaxas

Task-aware world model learning with meta weighting via bi-level optimization

Huining Yuan, Hongkun Dou, Xingyu Jiang, Yue Deng

Scattering Vision Transformer: Spectral Mixing Matters

Badri Patro, Vijay Agneeswaran

Generator Born from Classifier

Runpeng Yu, Xinchao Wang

On Evaluating Adversarial Robustness of Large Vision-Language Models

Yunqing Zhao, Tianyu Pang, Chao Du, Xiao Yang, Chongxuan Li

Universal Gradient Descent Ascent Method for Nonconvex-Nonconcave Minimax Optimization

Taoli Zheng, Linglingzhi Zhu, Anthony Man-Cho So, Jose Blanchet, JIAJIN LI

TOA: Task-oriented Active VQA

xiaoying xing, Mingfu Liang, Ying Wu

Toward Understanding Generative Data Augmentation

Chenyu Zheng, Guoqiang Wu, Chongxuan Li

Estimating Noise Correlations Across Continuous Conditions With Wishart Processes

Amin Nejatbakhsh, Isabel Garon, Alex Williams

Multi-task learning with summary statistics

Parker Knight, Rui Duan

Effective Bayesian Heteroscedastic Regression with Deep Neural Networks

Alexander Immer, Emanuele Palumbo, Alexander Marx, Julia Vogt

D4: Improving LLM Pretraining via Document De-Duplication and Diversification

Kushal Tirumala, Daniel Simig, Armen Aghajanyan, Ari Morcos

Echoes Beyond Points: Unleashing the Power of Raw Radar Data in Multi-modality Fusion

Yang Liu, Feng Wang, Naiyan Wang, ZHAO-XIANG ZHANG

Accelerating Value Iteration with Anchoring

Jongmin Lee, Ernest Ryu

Correlation Aware Sparsified Mean Estimation Using Random Projection

Shuli Jiang, PRANAY SHARMA, Gauri Joshi

Learning Topology-Agnostic EEG Representations with Geometry-Aware Modeling

Ke Yi, Yansen Wang, Kan Ren, Dongsheng Li

Better Correlation and Robustness: A Distribution-Balanced Self-Supervised Learning Framework for Automatic Dialogue Evaluation

Peiwen Yuan, Xinglin Wang, Jiayi Shi, Bin Sun, Yiwei Li

Projection-Free Methods for Solving Nonconvex-Concave Saddle Point Problems

Morteza Boroun, Erfan Yazdandoost Hamedani, Afrooz Jalilzadeh

M$^{2}$SODAI: Multi-Modal Maritime Object Detection Dataset With RGB and Hyperspectral Image Sensors

Jonggyu Jang, Sangwoo Oh, Youjin Kim, Dongmin Seo, Youngchol Choi