NeurIPS 2023

3,540 papers

A General Theory of Correct, Incorrect, and Extrinsic Equivariance

Dian Wang, Xupeng Zhu, Jung Yeon Park, Mingxi Jia, Guanang Su

Algorithmic Regularization in Tensor Optimization: Towards a Lifted Approach in Matrix Sensing

Ziye Ma, Javad Lavaei, Somayeh Sojoudi

Adaptive Uncertainty Estimation via High-Dimensional Testing on Latent Representations

Tsai Hor Chan, Kin Wai Lau, Jiajun Shen, Guosheng Yin, Lequan Yu

AR-Diffusion: Auto-Regressive Diffusion Model for Text Generation

Tong Wu, Zhihao Fan, Xiao Liu, Hai-Tao Zheng, Yeyun Gong

Swap Agnostic Learning, or Characterizing Omniprediction via Multicalibration

Parikshit Gopalan, Michael Kim, Omer Reingold

RDumb: A simple approach that questions our progress in continual test-time adaptation

Ori Press, Steffen Schneider, Matthias Kümmerer, Matthias Bethge

SceneScape: Text-Driven Consistent Scene Generation

Rafail Fridman, Amit Abecasis, Yoni Kasten, Tali Dekel

Uni3DETR: Unified 3D Detection Transformer

Zhenyu Wang, Ya-Li Li, Xi Chen, Hengshuang Zhao, Shengjin Wang

On the impact of activation and normalization in obtaining isometric embeddings at initialization

Amir Joudaki, Hadi Daneshmand, Francis R. Bach

Generative Modelling of Stochastic Actions with Arbitrary Constraints in Reinforcement Learning

Changyu CHEN, Ramesha Karunasena, Thanh Nguyen, Arunesh Sinha, Pradeep Varakantham

Markovian Sliced Wasserstein Distances: Beyond Independent Projections

Khai Nguyen, Tongzheng Ren, nhật Hồ

A Rigorous Link between Deep Ensembles and (Variational) Bayesian Methods

Veit David Wild, Sahra Ghalebikesabi, Dino Sejdinovic, Jeremias Knoblauch

PCF-GAN: generating sequential data via the characteristic function of measures on the path space

Hang Lou, Siran Li, Hao Ni

Strategyproof Voting under Correlated Beliefs

Daniel Halpern, Rachel Li, Ariel D Procaccia

Pre-training Contextualized World Models with In-the-wild Videos for Reinforcement Learning

Jialong Wu, Haoyu Ma, Chaoyi Deng, Mingsheng Long

Robustness Guarantees for Adversarially Trained Neural Networks

Poorya Mianjy, Raman Arora

An NLP Benchmark Dataset for Assessing Corporate Climate Policy Engagement

Gaku Morio, Christopher D. Manning, Christopher D Manning

Language Models can Solve Computer Tasks

Geunwoo Kim, Pierre Baldi, Stephen Mcaleer

MARBLE: Music Audio Representation Benchmark for Universal Evaluation

Ruibin Yuan, Yinghao Ma, Yizhi Li, Ge Zhang, Xingran Chen

Federated Multi-Objective Learning

Haibo Yang, Zhuqing Liu, Jia Liu, Chaosheng Dong, Michinari Momma

Representation Learning via Consistent Assignment of Views over Random Partitions

Thalles Santos Silva, Adín Ramírez Rivera

C-Disentanglement: Discovering Causally-Independent Generative Factors under an Inductive Bias of Confounder

Xiaoyu Liu, Jiaxin Yuan, Bang An, Yuancheng Xu, Yifan Yang

MIMONets: Multiple-Input-Multiple-Output Neural Networks Exploiting Computation in Superposition

Nicolas Menet, Michael Hersche, Geethan Karunaratne, Luca Benini, Abu Sebastian

Birder: Communication-Efficient 1-bit Adaptive Optimizer for Practical Distributed DNN Training

Hanyang Peng, Shuang Qin, Yue Yu, Jin Wang, Hui Wang

Robust and Actively Secure Serverless Collaborative Learning

Nicholas Franzese, Adam Dziedzic, Christopher A. Choquette-Choo, Mark R Thomas, Muhammad Ahmad Kaleem

Achieving O(ε^-1.5) Complexity in Hessian/Jacobian-free Stochastic Bilevel Optimization

Yifan Yang, Peiyao Xiao, Kaiyi Ji

Efficient Testable Learning of Halfspaces with Adversarial Label Noise

Ilias Diakonikolas, Daniel Kane, Vasilis Kontonis, Sihan Liu, Nikos Zarifis

The Surprising Effectiveness of Diffusion Models for Optical Flow and Monocular Depth Estimation

Saurabh Saxena, Charles Herrmann, Junhwa Hur, Abhishek Kar, Mohammad Norouzi

CP-SLAM: Collaborative Neural Point-based SLAM System

Jiarui Hu, Mao Mao, Hujun Bao, Guofeng Zhang, Zhaopeng Cui

Provably Efficient Offline Reinforcement Learning in Regular Decision Processes

Roberto Cipollone, Anders Jonsson, Alessandro Ronca, Mohammad Sadegh Talebi

You Only Condense Once: Two Rules for Pruning Condensed Datasets

Yang He, Lingao Xiao, Joey Tianyi Zhou

Learning Generalizable Agents via Saliency-guided Features Decorrelation

Sili Huang, Yanchao Sun, Jifeng Hu, Siyuan Guo, Hechang Chen

Counterfactual Memorization in Neural Language Models

Chiyuan Zhang, Daphne Ippolito, Katherine Lee, Matthew Jagielski, Florian Tramer

Replicable Clustering

Hossein Esfandiari, Amin Karbasi, Vahab Mirrokni, Grigoris Velegkas, Felix Zhou

Intrinsic Dimension Estimation for Robust Detection of AI-Generated Texts

Eduard Tulchinskii, Kristian Kuznetsov, Laida Kushnareva, Daniil Cherniavskii, Sergey Nikolenko

Speculative Decoding with Big Little Decoder

Sehoon Kim, Karttikeya Mangalam, Suhong Moon, Jitendra Malik, Michael W. Mahoney

This Looks Like Those: Illuminating Prototypical Concepts Using Multiple Visualizations

Chiyu Ma, Brandon Zhao, Chaofan Chen, Cynthia Rudin

Multi-Agent First Order Constrained Optimization in Policy Space

Youpeng Zhao, Yaodong Yang, Zhenbo Lu, Wengang Zhou, Houqiang Li

Neural Multi-Objective Combinatorial Optimization with Diversity Enhancement

Jinbiao Chen, Zizhen Zhang, Zhiguang Cao, Yaoxin Wu, Yining Ma

Instructing Goal-Conditioned Reinforcement Learning Agents with Temporal Logic Objectives

Wenjie Qiu, Wensen Mao, He Zhu

Fast Partitioned Learned Bloom Filter

Atsuki Sato, Yusuke Matsui

SpokenWOZ: A Large-Scale Speech-Text Benchmark for Spoken Task-Oriented Dialogue Agents

Shuzheng Si, Wentao Ma, Haoyu Gao, Yuchuan Wu, Ting-En Lin

Isometric Quotient Variational Auto-Encoders for Structure-Preserving Representation Learning

In Huh, changwook jeong, Jae Myung Choe, YOUNGGU KIM, Daesin Kim

BoardgameQA: A Dataset for Natural Language Reasoning with Contradictory Information

Mehran Kazemi, Quan Yuan, Deepti Bhatia, Najoung Kim, Xin Xu

Deep Patch Visual Odometry

Zachary Teed, Lahav Lipson, Jia Deng

Closing the gap between the upper bound and lower bound of Adam's iteration complexity

Bohan Wang, Jingwen Fu, Huishuai Zhang, Nanning Zheng, Wei Chen

Extraction and Recovery of Spatio-Temporal Structure in Latent Dynamics Alignment with Diffusion Models

Yule Wang, Zijing Wu, Chengrui Li, Anqi Wu

PlanBench: An Extensible Benchmark for Evaluating Large Language Models on Planning and Reasoning about Change

Karthik Valmeekam, Matthew Marquez, Alberto Olmo, Sarath Sreedharan, Subbarao Kambhampati

Collaborative Alignment of NLP Models

Fereshte Khani, Marco Tulio Ribeiro

Equivariant Neural Simulators for Stochastic Spatiotemporal Dynamics

Koen Minartz, Yoeri Poels, Simon Koop, Vlado Menkovski

Hypervolume Maximization: A Geometric View of Pareto Set Learning

Xiaoyuan Zhang, Xi Lin, Bo Xue, Yifan Chen, Qingfu Zhang

The Emergence of Essential Sparsity in Large Pre-trained Models: The Weights that Matter

AJAY JAISWAL, Shiwei Liu, Tianlong Chen, Zhangyang "Atlas" Wang

Ego4D Goal-Step: Toward Hierarchical Understanding of Procedural Activities

Yale Song, Eugene Byrne, Tushar Nagarajan, Huiyu Wang, Miguel Martin

TMT-VIS: Taxonomy-aware Multi-dataset Joint Training for Video Instance Segmentation

Rongkun Zheng, Lu Qi, Xi Chen, Yi Wang, Kun Wang

VTaC: A Benchmark Dataset of Ventricular Tachycardia Alarms from ICU Monitors

Li-wei Lehman, Benjamin Moody, Harsh Deep, Feng Wu, Hasan Saeed

Recovering from Out-of-sample States via Inverse Dynamics in Offline Reinforcement Learning

Ke Jiang, Jia-Yu Yao, Xiaoyang Tan

What’s Left? Concept Grounding with Logic-Enhanced Foundation Models

Joy Hsu, Jiayuan Mao, Josh Tenenbaum, Jiajun Wu

Efficient Potential-based Exploration in Reinforcement Learning using Inverse Dynamic Bisimulation Metric

Yiming Wang, Ming Yang, Renzhi Dong, Binbin Sun, Furui Liu

GEQ: Gaussian Kernel Inspired Equilibrium Models

Mingjie Li, Yisen Wang, Zhouchen Lin

Transformers are uninterpretable with myopic methods: a case study with bounded Dyck grammars

Kaiyue Wen, Yuchen Li, Bingbin Liu, Andrej Risteski

A Unified Approach to Count-Based Weakly Supervised Learning

Vinay Shukla, Zhe Zeng, Kareem Ahmed, Guy Van den Broeck

Conditional Score Guidance for Text-Driven Image-to-Image Translation

Hyunsoo Lee, Minsoo Kang, Bohyung Han

ALIM: Adjusting Label Importance Mechanism for Noisy Partial Label Learning

Mingyu Xu, Zheng Lian, Lei Feng, Bin Liu, Jianhua Tao

Reduced Policy Optimization for Continuous Control with Hard Constraints

Shutong Ding, Jingya Wang, Yali Du, Ye Shi

Ignorance is Bliss: Robust Control via Information Gating

Manan Tomar, Riashat Islam, Matthew Taylor, Sergey Levine, Philip Bachman

Generalizable Lightweight Proxy for Robust NAS against Diverse Perturbations

Hyeonjeong Ha, Minseon Kim, Sung Ju Hwang

Massively Multilingual Corpus of Sentiment Datasets and Multi-faceted Sentiment Classification Benchmark

Lukasz Augustyniak, Szymon Woźniak, Marcin Gruza, Piotr Gramacki, Krzysztof Rajda

No-Regret Online Reinforcement Learning with Adversarial Losses and Transitions

Tiancheng Jin, Junyan Liu, Chloé Rouyer, William Chang, Chen-Yu Wei

Leveraging Vision-Centric Multi-Modal Expertise for 3D Object Detection

Linyan Huang, Zhiqi Li, Chonghao Sima, Wenhai Wang, Jingdong Wang

In Defense of Softmax Parametrization for Calibrated and Consistent Learning to Defer

Yuzhou Cao, Hussein Mozannar, Lei Feng, Hongxin Wei, Bo An

Reversible and irreversible bracket-based dynamics for deep graph neural networks

Anthony Gruber, Kookjin Lee, Nathaniel Trask

Beyond Confidence: Reliable Models Should Also Consider Atypicality

Mert Yuksekgonul, Linjun Zhang, James Y Zou, Carlos Guestrin

Scientific Document Retrieval using Multi-level Aspect-based Queries

Jianyou (Andre) Wang, Kaicheng Wang, Xiaoyue Wang, Prudhviraj Naidu, Leon Bergen

Neural Latent Geometry Search: Product Manifold Inference via Gromov-Hausdorff-Informed Bayesian Optimization

Haitz Sáez de Ocáriz Borde, Alvaro Arroyo, Ismael Morales, Ingmar Posner, Xiaowen Dong

When Can We Track Significant Preference Shifts in Dueling Bandits?

Joe Suk, Arpit Agarwal

Binarized Spectral Compressive Imaging

Yuanhao Cai, Yuxin Zheng, Jing Lin, Xin Yuan, Yulun Zhang

H3T: Efficient Integration of Memory Optimization and Parallelism for Large-scale Transformer Training

Yuzhong Wang, Xu Han, Weilin Zhao, Guoyang Zeng, Zhiyuan Liu

Can Pre-Trained Text-to-Image Models Generate Visual Goals for Reinforcement Learning?

Jialu Gao, Kaizhe Hu, Guowei Xu, Huazhe Xu

Uncertainty-Aware Alignment Network for Cross-Domain Video-Text Retrieval

Xiaoshuai Hao, Wanqian Zhang

Injecting Multimodal Information into Rigid Protein Docking via Bi-level Optimization

Ruijia Wang, YiWu Sun, Yujie Luo, Shaochuan Li, Cheng Yang

Learning to Modulate pre-trained Models in RL

Thomas Schmied, Markus Hofmarcher, Fabian Paischer, Razvan Pascanu, Sepp Hochreiter

GradOrth: A Simple yet Efficient Out-of-Distribution Detection with Orthogonal Projection of Gradients

Sima Behpour, Thang Long Doan, Xin Li, Wenbin He, Liang Gou

Multi-Step Generalized Policy Improvement by Leveraging Approximate Models

Lucas N. Alegre, Ana Bazzan, Ann Nowe, Bruno C. da Silva

HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face

Yongliang Shen, Kaitao Song, Xu Tan, Dongsheng Li, Weiming Lu

Optimistic Active Exploration of Dynamical Systems

Bhavya Sukhija, Lenart Treven, Cansu Sancaktar, Sebastian Blaes, Stelian Coros

A Computation and Communication Efficient Method for Distributed Nonconvex Problems in the Partial Participation Setting

Alexander Tyurin, Peter Richtarik

Quilt-1M: One Million Image-Text Pairs for Histopathology

Wisdom Ikezogwo, Saygin Seyfioglu, Fatemeh Ghezloo, Dylan Geva, Fatwir Sheikh Mohammed

Deep Stochastic Processes via Functional Markov Transition Operators

Jin Xu, Emilien Dupont, Kaspar Märtens, Thomas Rainforth, Yee Whye Teh

Payoff-based Learning with Matrix Multiplicative Weights in Quantum Games

Kyriakos Lotidis, Panayotis Mertikopoulos, Nicholas Bambos, Jose Blanchet

Mixed Samples as Probes for Unsupervised Model Selection in Domain Adaptation

Dapeng Hu, Jian Liang, Jun Hao Liew, Chuhui Xue, Song Bai

KAKURENBO: Adaptively Hiding Samples in Deep Neural Network Training

Truong Thao Nguyen, Balazs Gerofi, Edgar Josafat Martinez-Noriega, François Trahay, Mohamed Wahib

Tracr: Compiled Transformers as a Laboratory for Interpretability

David Lindner, János Kramár, Sebastian Farquhar, Matthew Rahtz, Tom McGrath

Learning to Receive Help: Intervention-Aware Concept Embedding Models

Mateo Espinosa Zarlenga, Katie Collins, Krishnamurthy Dvijotham, Adrian Weller, Zohreh Shams

Exact recovery and Bregman hard clustering of node-attributed Stochastic Block Model

Maximilien Dreveton, Felipe Fernandes, Daniel Figueiredo

Unlocking Feature Visualization for Deep Network with MAgnitude Constrained Optimization

Thomas FEL, Thibaut Boissin, Victor Boutin, Agustin PICARD, Paul Novello

Score-based Generative Modeling through Stochastic Evolution Equations in Hilbert Spaces

Sungbin Lim, EUN BI YOON, Taehyun Byun, Taewon Kang, Seungwoo Kim

Estimating Generic 3D Room Structures from 2D Annotations

Denys Rozumnyi, Stefan Popov, Kevis-kokitsi Maninis, Matthias Niessner, Vittorio Ferrari

Exact Optimality of Communication-Privacy-Utility Tradeoffs in Distributed Mean Estimation

Berivan Isik, Wei-Ning Chen, Ayfer Ozgur, Tsachy Weissman, Albert No

TWIGMA: A dataset of AI-Generated Images with Metadata From Twitter

Yiqun Chen, James Y Zou

CoDrug: Conformal Drug Property Prediction with Density Estimation under Covariate Shift

Siddhartha Laghuvarapu, Zhen Lin, Jimeng Sun