NeurIPS 2023

3,540 papers

M3Exam: A Multilingual, Multimodal, Multilevel Benchmark for Examining Large Language Models

Wenxuan Zhang, Mahani Aljunied, Chang Gao, Yew Ken Chia, Lidong Bing

Cause-Effect Inference in Location-Scale Noise Models: Maximum Likelihood vs. Independence Testing

Xiangyu Sun, Oliver Schulte

Initialization Matters: Privacy-Utility Analysis of Overparameterized Neural Networks

Jiayuan Ye, Zhenyu Zhu, Fanghui Liu, Reza Shokri, Volkan Cevher

Optimal Transport for Treatment Effect Estimation

Hao Wang, Jiajun Fan, Zhichao Chen, Haoxuan Li, Weiming Liu

Non-Smooth Weakly-Convex Finite-sum Coupled Compositional Optimization

Quanqi Hu, Dixian Zhu, Tianbao Yang

DataPerf: Benchmarks for Data-Centric AI Development

Mark Mazumder, Colby Banbury, Xiaozhe Yao, Bojan Karlaš, William Gaviria Rojas

Fine-Grained Cross-View Geo-Localization Using a Correlation-Aware Homography Estimator

Xiaolong Wang, Runsen Xu, Zhuofan Cui, Zeyu Wan, Yu Zhang

On the Exploration of Local Significant Differences For Two-Sample Test

Zhijian Zhou, Jie Ni, Jia-He Yao, Wei Gao

ReSync: Riemannian Subgradient-based Robust Rotation Synchronization

Huikang Liu, Xiao Li, Anthony Man-Cho So

Keep Various Trajectories: Promoting Exploration of Ensemble Policies in Continuous Control

CHAO LI, Chen Gong, Qiang He, Xinwen Hou

Common Ground in Cooperative Communication

Xiaoran Hao, Yash Jhaveri, Patrick Shafto

Adversarially Robust Learning with Uncertain Perturbation Sets

Tosca Lechner, Vinayak Pathak, Ruth Urner

DDCoT: Duty-Distinct Chain-of-Thought Prompting for Multimodal Reasoning in Language Models

Ge Zheng, Bin Yang, Jiajin Tang, Hong-Yu Zhou, Sibei Yang

Fair Streaming Principal Component Analysis: Statistical and Algorithmic Viewpoint

Junghyun Lee, Hanseul Cho, Se-Young Yun, Chulhee Yun

Score-based Source Separation with Applications to Digital Communication Signals

Tejas Jayashankar, Gary C.F. Lee, Alejandro Lancho, Amir Weiss, Yury Polyanskiy

Meet in the Middle: A New Pre-training Paradigm

Anh Nguyen, Nikos Karampatziakis, Weizhu Chen

Complexity of Derivative-Free Policy Optimization for Structured H_∞ Control

Xingang Guo, Darioush Keivan, Geir Dullerud, Peter Seiler, Bin Hu

Adversarial Examples Exist in Two-Layer ReLU Networks for Low Dimensional Linear Subspaces

Odelia Melamed, Gilad Yehudai, Gal Vardi

Variational Weighting for Kernel Density Ratios

Sangwoong Yoon, Frank Park, Gunsu YUN, Iljung Kim, Yung-kyun Noh

Beyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced Datasets

Zhang-Wei Hong, Aviral Kumar, Sathwik Karnik, Abhishek Bhandwaldar, Akash Srivastava

SheetCopilot: Bringing Software Productivity to the Next Level through Large Language Models

Hongxin Li, Jingran Su, Yuntao Chen, Qing Li, ZHAO-XIANG ZHANG

CBD: A Certified Backdoor Detector Based on Local Dominant Probability

Zhen J. Xiang, Zidi Xiong, Bo Li

HeadSculpt: Crafting 3D Head Avatars with Text

Xiao Han, Yukang Cao, Kai Han, Xiatian Zhu, Jiankang Deng

CELLE-2: Translating Proteins to Pictures and Back with a Bidirectional Text-to-Image Transformer

Emaad Khwaja, Yun Song, Aaron Agarunov, Bo Huang

Mixture Weight Estimation and Model Prediction in Multi-source Multi-target Domain Adaptation

Yuyang Deng, Ilja Kuzborskij, Mehrdad Mahdavi

Conformalized matrix completion

Yu Gui, Rina Barber, Cong Ma

Learning Invariant Representations with a Nonparametric Nadaraya-Watson Head

Alan Wang, Minh H. Nguyen, Mert Sabuncu

A Theoretical Analysis of the Test Error of Finite-Rank Kernel Ridge Regression

Tin Sum Cheng, Aurelien Lucchi, Anastasis Kratsios, Ivan Dokmanić, David Belius

HiBug: On Human-Interpretable Model Debug

Muxi Chen, Yu Li, Qiang Xu

NIS3D: A Completely Annotated Benchmark for Dense 3D Nuclei Image Segmentation

Wei Zheng, Cheng Peng, Zeyuan Hou, Boyu Lyu, Mengfan Wang

Efficient Data Subset Selection to Generalize Training Across Models: Transductive and Inductive Networks

Eeshaan Jain, Tushar Nandy, Gaurav Aggarwal, Ashish Tendulkar, Rishabh Iyer

Datasets and Benchmarks for Nanophotonic Structure and Parametric Design Simulations

Jungtaek Kim, Mingxuan Li, Oliver Hinder, Paul Leu

What is Flagged in Uncertainty Quantification? Latent Density Models for Uncertainty Categorization

Hao Sun, Boris van Breugel, Jonathan Crabbe, Nabeel Seedat, Mihaela van der Schaar

Hybrid Policy Optimization from Imperfect Demonstrations

Hanlin Yang, Chao Yu, peng sun, Siji Chen

Demystifying Softmax Gating Function in Gaussian Mixture of Experts

Huy Nguyen, TrungTin Nguyen, nhật Hồ

Counting Distinct Elements in the Turnstile Model with Differential Privacy under Continual Observation

Palak Jain, Iden Kalemaj, Sofya Raskhodnikova, Satchit Sivakumar, Adam Smith

OpenProteinSet: Training data for structural biology at scale

Gustaf Ahdritz, Nazim Bouatta, Sachin Kadyan, Lukas Jarosch, Dan Berenberg

Where2Explore: Few-shot Affordance Learning for Unseen Novel Categories of Articulated Objects

Chuanruo Ning, Ruihai Wu, Haoran Lu, Kaichun Mo, Hao Dong

DreamWaltz: Make a Scene with Complex 3D Animatable Avatars

Yukun Huang, Jianan Wang, Ailing Zeng, He CAO, Xianbiao Qi

DeepfakeBench: A Comprehensive Benchmark of Deepfake Detection

Zhiyuan Yan, Yong Zhang, Xinhang Yuan, Siwei Lyu, Baoyuan Wu

Direction-oriented Multi-objective Learning: Simple and Provable Stochastic Algorithms

Peiyao Xiao, Hao Ban, Kaiyi Ji

H-Consistency Bounds: Characterization and Extensions

Anqi Mao, Mehryar Mohri, Yutao Zhong

Multi-modal Queried Object Detection in the Wild

Yifan Xu, Mengdan Zhang, Chaoyou Fu, Peixian Chen, Xiaoshan Yang

Exploiting Correlated Auxiliary Feedback in Parameterized Bandits

Arun Verma, Zhongxiang Dai, YAO SHU, Bryan Kian Hsiang Low

QuIP: 2-Bit Quantization of Large Language Models With Guarantees

Jerry Chee, Yaohui Cai, Volodymyr Kuleshov, Christopher M De Sa

Language Quantized AutoEncoders: Towards Unsupervised Text-Image Alignment

Hao Liu, Wilson Yan, Pieter Abbeel

Building Socio-culturally Inclusive Stereotype Resources with Community Engagement

Sunipa Dev, Jaya Goyal, Dinesh Tewari, Shachi Dave, Vinodkumar Prabhakaran

Frequency-Enhanced Data Augmentation for Vision-and-Language Navigation

Keji He, Chenyang Si, Zhihe Lu, Yan Huang, Liang Wang

Finite-Time Logarithmic Bayes Regret Upper Bounds

Alexia Atsidakou, Branislav Kveton, Sumeet Katariya, Constantine Caramanis, Sujay Sanghavi

Characterizing the Impacts of Semi-supervised Learning for Weak Supervision

Jeffrey Li, Jieyu Zhang, Ludwig Schmidt, Alexander J Ratner

Moral Responsibility for AI Systems

Sander Beckers

Fractal Landscapes in Policy Optimization

Tao Wang, Sylvia Herbert, Sicun Gao

Parallel Sampling of Diffusion Models

Andy Shih, Suneel Belkhale, Stefano Ermon, Dorsa Sadigh, Nima Anari

Learning Domain-Aware Detection Head with Prompt Tuning

Haochen Li, Rui Zhang, Hantao Yao, Xinkai Song, Yifan Hao

Kernelized Reinforcement Learning with Order Optimal Regret Bounds

Sattar Vakili, Julia Olkhovskaya

Efficient Equivariant Transfer Learning from Pretrained Models

Sourya Basu, Pulkit Katdare, Prasanna Sattigeri, Vijil Chenthamarakshan, Katherine Driggs-Campbell

SQ Lower Bounds for Non-Gaussian Component Analysis with Weaker Assumptions

Ilias Diakonikolas, Daniel Kane, Lisheng Ren, Yuxin Sun

Provably Efficient Offline Goal-Conditioned Reinforcement Learning with General Function Approximation and Single-Policy Concentrability

Hanlin Zhu, Amy Zhang

Optimality in Mean Estimation: Beyond Worst-Case, Beyond Sub-Gaussian, and Beyond 1+α Moments

Trung Dang, Jasper Lee, Maoyuan 'Raymond' Song, Paul Valiant

Spatial-frequency channels, shape bias, and adversarial robustness

Ajay Subramanian, Elena Sizikova, Najib Majaj, Denis Pelli

Handling Data Heterogeneity via Architectural Design for Federated Visual Recognition

Sara Pieri, Jose Restom, Samuel Horváth, Hisham Cholakkal

Randomized Sparse Neural Galerkin Schemes for Solving Evolution Equations with Deep Networks

Jules Berman, Benjamin Peherstorfer

AI for Interpretable Chemistry: Predicting Radical Mechanistic Pathways via Contrastive Learning

Mohammadamin Tavakoli, Pierre Baldi, Ann Marie Carlton, Yin Ting Chiu, Alexander Shmakov

Diffused Redundancy in Pre-trained Representations

Vedant Nanda, Till Speicher, John Dickerson, Krishna Gummadi, Soheil Feizi

CARE: Modeling Interacting Dynamics Under Temporal Environmental Variation

Xiao Luo, Haixin Wang, Zijie Huang, Huiyu Jiang, Abhijeet Gangan

Bayesian Learning of Optimal Policies in Markov Decision Processes with Countably Infinite State-Space

Saghar Adler, Vijay Subramanian

Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization

Shurui Gui, Meng Liu, Xiner Li, Youzhi Luo, Shuiwang Ji

Understanding Deep Gradient Leakage via Inversion Influence Functions

Haobo Zhang, Junyuan Hong, Yuyang Deng, Mehrdad Mahdavi, Jiayu Zhou

ScenarioNet: Open-Source Platform for Large-Scale Traffic Scenario Simulation and Modeling

Quanyi Li, Zhenghao (Mark) Peng, Lan Feng, Zhizheng Liu, Chenda Duan

Enhancing Robot Program Synthesis Through Environmental Context

Tianyi Chen, Qidi Wang, Zhen Dong, Liwei Shen, Xin Peng

EHRXQA: A Multi-Modal Question Answering Dataset for Electronic Health Records with Chest X-ray Images

Seongsu Bae, Daeun Kyung, Jaehee Ryu, Eunbyeol Cho, Gyubok Lee

Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking

Juanhui Li, Harry Shomer, Haitao Mao, Shenglai Zeng, Yao Ma

Double Auctions with Two-sided Bandit Feedback

Soumya Basu, Abishek Sankararaman

Temporal Conditioning Spiking Latent Variable Models of the Neural Response to Natural Visual Scenes

Gehua Ma, Runhao Jiang, Rui Yan, Huajin Tang

Online Clustering of Bandits with Misspecified User Models

Zhiyong Wang, Jize Xie, Xutong Liu, Shuai Li, John C.S. Lui

Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models

George Stein, Jesse Cresswell, Rasa Hosseinzadeh, Yi Sui, Brendan Ross

DIFUSCO: Graph-based Diffusion Solvers for Combinatorial Optimization

Zhiqing Sun, Yiming Yang

Fair Canonical Correlation Analysis

Zhuoping Zhou, Davoud Ataee Tarzanagh, Bojian Hou, Boning Tong, Jia Xu

ConRad: Image Constrained Radiance Fields for 3D Generation from a Single Image

Senthil Purushwalkam, Nikhil Naik

SparseProp: Efficient Event-Based Simulation and Training of Sparse Recurrent Spiking Neural Networks

Rainer Engelken

A Computationally Efficient Sparsified Online Newton Method

Fnu Devvrit, Sai Surya Duvvuri, Rohan Anil, Vineet Gupta, Cho-jui Hsieh

Two-Stage Learning to Defer with Multiple Experts

Anqi Mao, Christopher Mohri, Mehryar Mohri, Yutao Zhong

Optimistic Natural Policy Gradient: a Simple Efficient Policy Optimization Framework for Online RL

Qinghua Liu, Gellert Weisz, András György, Chi Jin, Csaba Szepesvári

Linguistic Binding in Diffusion Models: Enhancing Attribute Correspondence through Attention Map Alignment

Royi Rassin, Eran Hirsch, Daniel Glickman, Shauli Ravfogel, Yoav Goldberg

Learning Rule-Induced Subgraph Representations for Inductive Relation Prediction

Tianyu Liu, Qitan Lv, Jie Wang, Shuling Yang, Hanzhu Chen

OBJECT 3DIT: Language-guided 3D-aware Image Editing

Oscar Michel, Anand Bhattad, Eli VanderBilt, Ranjay Krishna, Aniruddha Kembhavi

GlucoSynth: Generating Differentially-Private Synthetic Glucose Traces

Josephine Lamp, Mark Derdzinski, Christopher Hannemann, Joost van der Linden, Lu Feng

Resolving the Tug-of-War: A Separation of Communication and Learning in Federated Learning

Junyi Li, Heng Huang

Language Model Alignment with Elastic Reset

Michael Noukhovitch, Samuel Lavoie, Florian Strub, Aaron C. Courville

Zeroth-Order Methods for Nondifferentiable, Nonconvex, and Hierarchical Federated Optimization

Yuyang Qiu, Uday Shanbhag, Farzad Yousefian

Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language Model

Zirui Liu, Guanchu Wang, Shaochen (Henry) Zhong, Zhaozhuo Xu, Daochen Zha

A Path to Simpler Models Starts With Noise

Lesia Semenova, Harry Chen, Ronald Parr, Cynthia Rudin

Adversarial Robustness in Graph Neural Networks: A Hamiltonian Approach

KAI ZHAO, Qiyu Kang, Yang Song, Rui She, Sijie Wang

Sample Complexity Bounds for Score-Matching: Causal Discovery and Generative Modeling

Zhenyu Zhu, Francesco Locatello, Volkan Cevher

DreamSparse: Escaping from Plato’s Cave with 2D Diffusion Model Given Sparse Views

Paul Yoo, Jiaxian Guo, Yutaka Matsuo, Shixiang (Shane) Gu

Tartarus: A Benchmarking Platform for Realistic And Practical Inverse Molecular Design

AkshatKumar Nigam, Robert Pollice, Gary Tom, Kjell Jorner, John Willes

Reusing Pretrained Models by Multi-linear Operators for Efficient Training

Yu Pan, Ye Yuan, Yichun Yin, Zenglin Xu, Lifeng Shang

Finding Counterfactually Optimal Action Sequences in Continuous State Spaces

Stratis Tsirtsis, Manuel Rodriguez

Type-to-Track: Retrieve Any Object via Prompt-based Tracking

Pha Nguyen, Kha Gia Quach, Kris Kitani, Khoa Luu

SOAR: Improved Indexing for Approximate Nearest Neighbor Search

Philip Sun, David Simcha, Dave Dopson, Ruiqi Guo, Sanjiv Kumar