NeurIPS 2023

3,540 papers

An Adaptive Algorithm for Learning with Unknown Distribution Drift

Alessio Mazzetto, Eli Upfal

Star-Shaped Denoising Diffusion Probabilistic Models

Andrey Okhotin, Dmitry Molchanov, Arkhipkin Vladimir, Grigory Bartosh, Viktor Ohanesian

Boosting Verification of Deep Reinforcement Learning via Piece-Wise Linear Decision Neural Networks

Jiaxu Tian, Dapeng Zhi, Si Liu, Peixin Wang, Cheng Chen

Rethinking Semi-Supervised Medical Image Segmentation: A Variance-Reduction Perspective

Chenyu You, Weicheng Dai, Yifei Min, Fenglin Liu, David Clifton

Combining Behaviors with the Successor Features Keyboard

Wilka Carvalho Carvalho, Andre Saraiva, Angelos Filos, Andrew Lampinen, Loic Matthey

A Cross-Moment Approach for Causal Effect Estimation

Yaroslav Kivva, Saber Salehkaleybar, Negar Kiyavash

An Information-Theoretic Evaluation of Generative Models in Learning Multi-modal Distributions

Mohammad Jalali, Cheuk Ting Li, Farzan Farnia

SpatialRank: Urban Event Ranking with NDCG Optimization on Spatiotemporal Data

Bang An, Xun Zhou, YONGJIAN ZHONG, Tianbao Yang

DeWave: Discrete Encoding of EEG Waves for EEG to Text Translation

Yiqun Duan, Jinzhao Zhou, Zhen Wang, Yu-Kai Wang, Chin-teng Lin

When Does Confidence-Based Cascade Deferral Suffice?

Wittawat Jitkrittum, Neha Gupta, Aditya K Menon, Harikrishna Narasimhan, Ankit Rawat

Empowering Convolutional Neural Nets with MetaSin Activation

Farnood Salehi, Tunç Aydin, André Gaillard, Guglielmo Camporese, Yuxuan Wang

Semantic HELM: A Human-Readable Memory for Reinforcement Learning

Fabian Paischer, Thomas Adler, Markus Hofmarcher, Sepp Hochreiter

Navigating the Pitfalls of Active Learning Evaluation: A Systematic Framework for Meaningful Performance Assessment

Carsten Lüth, Till Bungert, Lukas Klein, Paul Jaeger

TART: A plug-and-play Transformer module for task-agnostic reasoning

Kush Bhatia, Avanika Narayan, Christopher M De Sa, Christopher Re

Dynamics of Finite Width Kernel and Prediction Fluctuations in Mean Field Neural Networks

Blake Bordelon, Cengiz Pehlevan

Degraded Polygons Raise Fundamental Questions of Neural Network Perception

Leonard Tang, Dan Ley

On Learning Latent Models with Multi-Instance Weak Supervision

Kaifu Wang, Efthymia Tsamoura, Dan Roth

Federated Compositional Deep AUC Maximization

Xinwen Zhang, Yihan Zhang, Tianbao Yang, Richard Souvenir, Hongchang Gao

Algorithm Selection for Deep Active Learning with Imbalanced Datasets

Jifan Zhang, Shuai Shao, Saurabh Verma, Robert Nowak

Visual Instruction Inversion: Image Editing via Image Prompting

Thao Nguyen, Yuheng Li, Utkarsh Ojha, Yong Jae Lee

Puzzlefusion: Unleashing the Power of Diffusion Models for Spatial Puzzle Solving

Sepidehsadat (Sepid) Hossieni, Mohammad Amin Shabani, Saghar Irandoust, Yasutaka Furukawa

Three Iterations of (d − 1)-WL Test Distinguish Non Isometric Clouds of d-dimensional Points

Valentino Delle Rose, Alexander Kozachinskiy, Cristobal Rojas, Mircea Petrache, Pablo Barceló

What Do Deep Saliency Models Learn about Visual Attention?

Shi Chen, Ming Jiang, Qi Zhao

Revisiting the Evaluation of Image Synthesis with GANs

mengping yang, Ceyuan Yang, Yichi Zhang, Qingyan Bai, Yujun Shen

Neural approximation of Wasserstein distance via a universal architecture for symmetric and factorwise group invariant functions

Samantha Chen, Yusu Wang

Inconsistency, Instability, and Generalization Gap of Deep Neural Network Training

Rie Johnson, Tong Zhang

Task-Robust Pre-Training for Worst-Case Downstream Adaptation

Jianghui Wang, Yang Chen, Xingyu Xie, Cong Fang, Zhouchen Lin

White-Box Transformers via Sparse Rate Reduction

Yaodong Yu, Sam Buchanan, Druv Pai, Tianzhe Chu, Ziyang Wu

Experiment Planning with Function Approximation

Aldo Pacchiano, Jonathan Lee, Emma Brunskill

Object-centric Learning with Cyclic Walks between Parts and Whole

Ziyu Wang, Mike Zheng Shou, Mengmi Zhang

TextDiffuser: Diffusion Models as Text Painters

Jingye Chen, Yupan Huang, Tengchao Lv, Lei Cui, Qifeng Chen

Percentile Criterion Optimization in Offline Reinforcement Learning

Cyrus Cousins, Elita Lobo, Marek Petrik, Yair Zick

Convergence of Actor-Critic with Multi-Layer Neural Networks

Haoxing Tian, Alex Olshevsky, Yannis Paschalidis

Natural Language Instruction-following with Task-related Language Development and Translation

Si-Hang Yang, Xiong-Hui Chen, Yang Yu, Xinyu Yang, Jingcheng Pang

Faster Query Times for Fully Dynamic k-Center Clustering with Outliers

Leyla Biabani, Annika Hennes, Morteza Monemizadeh, Melanie Schmidt

Polyhedron Attention Module: Learning Adaptive-order Interactions

Tan Zhu, Fei Dou, Xinyu Wang, Jin Lu, Jinbo Bi

Necessary and Sufficient Conditions for Optimal Decision Trees using Dynamic Programming

Jacobus van der Linden, Mathijs de Weerdt, Emir Demirović

Learning Universal Policies via Text-Guided Video Generation

Yilun Du, Sherry Yang, Bo Dai, Hanjun Dai, Ofir Nachum

Accurate Interpolation for Scattered Data through Hierarchical Residual Refinement

Shizhe Ding, Boyang Xia, Dongbo Bu

Adaptive Topological Feature via Persistent Homology: Filtration Learning for Point Clouds

Naoki Nishikawa, Yuichi Ike, Kenji Yamanishi

GALOPA: Graph Transport Learning with Optimal Plan Alignment

Yejiang Wang, Yuhai Zhao, Daniel Zhengkui Wang, Ling Li

Contrastive Lift: 3D Object Instance Segmentation by Slow-Fast Contrastive Fusion

Yash Bhalgat, Iro Laina, João F. Henriques, Andrea Vedaldi, Andrew Zisserman

Off-Policy Evaluation for Human Feedback

Qitong Gao, Ge Gao, Juncheng Dong, Vahid Tarokh, Min Chi

Extending the Design Space of Graph Neural Networks by Rethinking Folklore Weisfeiler-Lehman

Jiarui Feng, Lecheng Kong, Hao Liu, Dacheng Tao, Fuhai Li

PackQViT: Faster Sub-8-bit Vision Transformers via Full and Packed Quantization on the Mobile

Peiyan Dong, LEI LU, Chao Wu, Cheng Lyu, Geng Yuan

AMAG: Additive, Multiplicative and Adaptive Graph Neural Network For Forecasting Neuron Activity

Jingyuan Li, Leo Scholl, Trung Le, Pavithra Rajeswaran, Amy Orsborn

Towards Self-Interpretable Graph-Level Anomaly Detection

Yixin Liu, Kaize Ding, Qinghua Lu, Fuyi Li, Leo Yu Zhang

Multimodal C4: An Open, Billion-scale Corpus of Images Interleaved with Text

Wanrong Zhu, Jack Hessel, Anas Awadalla, Samir Yitzhak Gadre, Jesse Dodge

Bandit Task Assignment with Unknown Processing Time

Shinji Ito, Daisuke Hatano, Hanna Sumita, Kei Takemura, Takuro Fukunaga

Beyond MLE: Convex Learning for Text Generation

Chenze Shao, Zhengrui Ma, Min Zhang, Yang Feng

PromptRestorer: A Prompting Image Restoration Method with Degradation Perception

Cong Wang, Jinshan Pan, Wei Wang, Jiangxin Dong, Mengzhu Wang

The Double-Edged Sword of Implicit Bias: Generalization vs. Robustness in ReLU Networks

Spencer Frei, Gal Vardi, Peter L. Bartlett, Nati Srebro

Topological Obstructions and How to Avoid Them

Babak Esmaeili, Robin Walters, Heiko Zimmermann, Jan-Willem van de Meent

Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization

Fu Luo, Xi Lin, Fei Liu, Qingfu Zhang, Zhenkun Wang

Blockwise Parallel Transformers for Large Context Models

Hao Liu, Pieter Abbeel

SAMRS: Scaling-up Remote Sensing Segmentation Dataset with Segment Anything Model

Di Wang, Jing Zhang, Bo Du, Minqiang Xu, Lin Liu

Gradient Informed Proximal Policy Optimization

Sanghyun Son, Laura Zheng, Ryan Sullivan, Yi-Ling Qiao, Ming Lin

DVSOD: RGB-D Video Salient Object Detection

Jingjing Li, Wei Ji, Size Wang, Wenbo Li, Li Cheng

Spectral Co-Distillation for Personalized Federated Learning

Zihan Chen, Howard Hua Yang, Tony Quek, Kai Fong Ernest Chong

Minimum norm interpolation by perceptra: Explicit regularization and implicit bias

Jiyoung Park, Ian Pelakh, Stephan Wojtowytsch

RECESS Vaccine for Federated Learning: Proactive Defense Against Model Poisoning Attacks

Haonan Yan, Wenjing Zhang, Qian Chen, Xiaoguang Li, Wenhai Sun

GeoCLIP: Clip-Inspired Alignment between Locations and Images for Effective Worldwide Geo-localization

Vicente Vivanco Cepeda, Gaurav Kumar Nayak, Mubarak Shah

Demographic Parity Constrained Minimax Optimal Regression under Linear Model

Kazuto Fukuchi, Jun Sakuma

Reflexion: language agents with verbal reinforcement learning

Noah Shinn, Federico Cassano, Ashwin Gopinath, Karthik Narasimhan, Shunyu Yao

NAS-X: Neural Adaptive Smoothing via Twisting

Dieterich Lawson, Michael Li, Scott Linderman

Object-Centric Slot Diffusion

Jindong Jiang, Fei Deng, Gautam Singh, Sungjin Ahn

In-Context Learning Unlocked for Diffusion Models

Zhendong Wang, Yifan Jiang, Yadong Lu, Yelong Shen, Pengcheng He

CSOT: Curriculum and Structure-Aware Optimal Transport for Learning with Noisy Labels

Wanxing Chang, Ye Shi, Jingya Wang

Towards Accelerated Model Training via Bayesian Data Selection

Zhijie Deng, Peng Cui, Jun Zhu

MCUFormer: Deploying Vision Tranformers on Microcontrollers with Limited Memory

Yinan Liang, Ziwei Wang, Xiuwei Xu, Yansong Tang, Jie Zhou

Hierarchical Vector Quantized Transformer for Multi-class Unsupervised Anomaly Detection

Ruiying Lu, YuJie Wu, Long Tian, Dongsheng Wang, Bo Chen

SAMoSSA: Multivariate Singular Spectrum Analysis with Stochastic Autoregressive Noise

Abdullah Alomar, Munther Dahleh, Sean Mann, Devavrat Shah

ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation

Zhengyi Wang, Cheng Lu, Yikai Wang, Fan Bao, Chongxuan Li

Are Diffusion Models Vision-And-Language Reasoners?

Benno Krojer, Elinor Poole-Dayan, Vikram Voleti, Chris Pal, Siva Reddy

How Does Adaptive Optimization Impact Local Neural Network Geometry?

Kaiqi Jiang, Dhruv Malik, Yuanzhi Li

NeRF-IBVS: Visual Servo Based on NeRF for Visual Localization and Navigation

Yuanze Wang, Yichao Yan, Dianxi Shi, Wenhan Zhu, Jianqiang Xia

Efficient Subgame Refinement for Extensive-form Games

Zhenxing Ge, Zheng Xu, Tianyu Ding, Wenbin Li, Yang Gao

Unsupervised Semantic Correspondence Using Stable Diffusion

Eric Hedlin, Gopal Sharma, Shweta Mahajan, Hossam Isack, Abhishek Kar

Tempo Adaptation in Non-stationary Reinforcement Learning

Hyunin Lee, Yuhao Ding, Jongmin Lee, Ming Jin, Javad Lavaei

A Unified Framework for Uniform Signal Recovery in Nonlinear Generative Compressed Sensing

Junren Chen, Jonathan Scarlett, Michael Ng, Zhaoqiang Liu

Multiplication-Free Transformer Training via Piecewise Affine Operations

Atli Kosson, Martin Jaggi

Topology-Aware Uncertainty for Image Segmentation

Saumya Gupta, Yikai Zhang, Xiaoling Hu, Prateek Prasanna, Chao Chen

Time-Independent Information-Theoretic Generalization Bounds for SGLD

Futoshi Futami, Masahiro Fujisawa

Conditional Adapters: Parameter-efficient Transfer Learning with Fast Inference

Tao Lei, Junwen Bai, Siddhartha Brahma, Joshua Ainslie, Kenton Lee

Accelerated Quasi-Newton Proximal Extragradient: Faster Rate for Smooth Convex Optimization

Ruichen Jiang, Aryan Mokhtari

Temporally Disentangled Representation Learning under Unknown Nonstationarity

Xiangchen Song, Weiran Yao, Yewen Fan, Xinshuai Dong, Guangyi Chen

AVOIDDS: Aircraft Vision-based Intruder Detection Dataset and Simulator

Elysia Smyers, Sydney Katz, Anthony Corso, Mykel J Kochenderfer

Simplicity Bias in 1-Hidden Layer Neural Networks

Depen Morwani, Jatin Batra, Prateek Jain, Praneeth Netrapalli

Adversarial Resilience in Sequential Prediction via Abstention

Surbhi Goel, Steve Hanneke, Shay Moran, Abhishek Shetty

Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation

Wei Jin, Haitao Mao, Zheng Li, Haoming Jiang, Chen Luo

RenderMe-360: A Large Digital Asset Library and Benchmarks Towards High-fidelity Head Avatars

Dongwei Pan, Long Zhuo, Jingtan Piao, Huiwen Luo, Wei Cheng

SubseasonalClimateUSA: A Dataset for Subseasonal Forecasting and Benchmarking

Soukayna Mouatadid, Paulo Orenstein, Genevieve Flaspohler, Miruna Oprescu, Judah Cohen

Combinatorial Optimization with Policy Adaptation using Latent Space Search

Felix Chalumeau, Shikha Surana, Clément Bonnet, Nathan Grinsztajn, Arnu Pretorius

Globally solving the Gromov-Wasserstein problem for point clouds in low dimensional Euclidean spaces

Martin Ryner, Jan Kronqvist, Johan Karlsson

Non-Stationary Bandits with Auto-Regressive Temporal Dependency

Qinyi Chen, Negin Golrezaei, Djallel Bouneffouf

A Unified Detection Framework for Inference-Stage Backdoor Defenses

Xun Xian, Ganghua Wang, Jayanth Srinivasa, Ashish Kundu, Xuan Bi

TopP&R: Robust Support Estimation Approach for Evaluating Fidelity and Diversity in Generative Models

Pum Jun Kim, Yoojin Jang, Jisu KIM, Jaejun Yoo

Zechuan Zhang, Li Sun, Zongxin Yang, Ling Chen, Yi Yang

EvoPrompting: Language Models for Code-Level Neural Architecture Search

Angelica Chen, David Dohan, David So

Nonparametric Teaching for Multiple Learners

Chen Zhang, Xiaofeng Cao, Weiyang Liu, Ivor W. Tsang, James T. Kwok