NeurIPS 2023

3,540 papers

Fair Adaptive Experiments

Waverly Wei, Xinwei Ma, Jingshen Wang

Statistical Insights into HSIC in High Dimensions

Tao Zhang, Yaowu Zhang, Tingyou Zhou

Learning Dynamic Attribute-factored World Models for Efficient Multi-object Reinforcement Learning

Fan Feng, Sara Magliacane

Penguin: Parallel-Packed Homomorphic Encryption for Fast Graph Convolutional Network Inference

Ran Ran, Nuo Xu, Tao Liu, Wei Wang, Gang Quan

Have it your way: Individualized Privacy Assignment for DP-SGD

Franziska Boenisch, Christopher Mühl, Adam Dziedzic, Roy Rinberg, Nicolas Papernot

Mutual Information Regularized Offline Reinforcement Learning

Xiao Ma, Bingyi Kang, Zhongwen Xu, Min Lin, Shuicheng Yan

Curve Your Enthusiasm: Concurvity Regularization in Differentiable Generalized Additive Models

Julien Siems, Konstantin Ditschuneit, Winfried Ripken, Alma Lindborg, Maximilian Schambach

Discover and Align Taxonomic Context Priors for Open-world Semi-Supervised Learning

Yu Wang, Zhun Zhong, Pengchong Qiao, Xuxin Cheng, Xiawu Zheng

Direct Training of SNN using Local Zeroth Order Method

Bhaskar Mukhoty, Velibor Bojkovic, William de Vazelhes, Xiaohan Zhao, Giulia De Masi

Safety Gymnasium: A Unified Safe Reinforcement Learning Benchmark

Jiaming Ji, Borong Zhang, Jiayi Zhou, Xuehai Pan, Weidong Huang

Building the Bridge of Schrödinger: A Continuous Entropic Optimal Transport Benchmark

Nikita Gushchin, Alexander Kolesov, Petr Mokrov, Polina Karpikova, Andrei Spiridonov

Leveraging Locality and Robustness to Achieve Massively Scalable Gaussian Process Regression

Robert Allison, Anthony Stephenson, Samuel F, Edward O Pyzer-Knapp

Prompt-augmented Temporal Point Process for Streaming Event Sequence

Siqiao Xue, Yan Wang, Zhixuan Chu, Xiaoming Shi, Caigao JIANG

OpenLane-V2: A Topology Reasoning Benchmark for Unified 3D HD Mapping

Huijie Wang, Tianyu Li, Yang Li, Li Chen, Chonghao Sima

Matrix Compression via Randomized Low Rank and Low Precision Factorization

Rajarshi Saha, Varun Srivastava, Mert Pilanci

Inverse Preference Learning: Preference-based RL without a Reward Function

Joey Hejna, Dorsa Sadigh

CMMA: Benchmarking Multi-Affection Detection in Chinese Multi-Modal Conversations

Yazhou Zhang, Yang Yu, Qing Guo, Benyou Wang, Dongming Zhao

Live Graph Lab: Towards Open, Dynamic and Real Transaction Graphs with NFT

Zhen Zhang, Bingqiao Luo, Shengliang Lu, Bingsheng He

MM-Fi: Multi-Modal Non-Intrusive 4D Human Dataset for Versatile Wireless Sensing

Jianfei Yang, He Huang, Yunjiao Zhou, Xinyan Chen, Yuecong Xu

Flow: Per-instance Personalized Federated Learning

Kunjal Panchal, Sunav Choudhary, Nisarg Parikh, Lijun Zhang, Hui Guan

RS-Del: Edit Distance Robustness Certificates for Sequence Classifiers via Randomized Deletion

Zhuoqun Huang, Neil G Marchant, Keane Lucas, Lujo Bauer, Olga Ohrimenko

FreeMask: Synthetic Images with Dense Annotations Make Stronger Segmentation Models

Lihe Yang, Xiaogang Xu, Bingyi Kang, Yinghuan Shi, Hengshuang Zhao

Fully Dynamic $k$-Clustering in $\tilde O(k)$ Update Time

Sayan Bhattacharya, Martín Costa, Silvio Lattanzi, Nikos Parotsidis

Distributionally Robust Linear Quadratic Control

Bahar Taskesen, Dan Iancu, Çağıl Koçyiğit, Daniel Huhn

Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance

Jinwoo Kim, Dat Nguyen, Ayhan Suleymanzade, Hyeokjun An, Seunghoon Hong

Asymptotically Optimal Quantile Pure Exploration for Infinite-Armed Bandits

Evelyn Xiao-Yue Gong, Mark Sellke

Elastic Decision Transformer

Yueh-Hua Wu, Xiaolong Wang, Masashi Hamaya

Neural Sculpting: Uncovering hierarchically modular task structure in neural networks through pruning and network analysis

Shreyas Malakarjun Patil, Loizos Michael, Constantine Dovrolis

FlatMatch: Bridging Labeled Data and Unlabeled Data with Cross-Sharpness for Semi-Supervised Learning

Zhuo Huang, Li Shen, Jun Yu, Bo Han, Tongliang Liu

Detection Based Part-level Articulated Object Reconstruction from Single RGBD Image

Yuki Kawana, Tatsuya Harada

Imitation Learning from Imperfection: Theoretical Justifications and Algorithms

Ziniu Li, Tian Xu, Zeyu Qin, Yang Yu, Zhi-Quan Luo

Closing the Computational-Statistical Gap in Best Arm Identification for Combinatorial Semi-bandits

Ruo-Chun Tzeng, Po-An Wang, Alexandre Proutiere, Chi-Jen Lu

Rubik's Cube: High-Order Channel Interactions with a Hierarchical Receptive Field

Naishan Zheng, man zhou, Chong Zhou, Chen Change Loy

Physics-Informed Bayesian Optimization of Variational Quantum Circuits

Kim Nicoli, Christopher J. Anders, Lena Funcke, Tobias Hartung, Karl Jansen

A Pseudo-Semantic Loss for Autoregressive Models with Logical Constraints

Kareem Ahmed, Kai-Wei Chang, Guy Van den Broeck

Spuriosity Didn’t Kill the Classifier: Using Invariant Predictions to Harness Spurious Features

Cian Eastwood, Shashank Singh, Andrei L Nicolicioiu, Marin Vlastelica Pogančić, Julius von Kügelgen

Alternation makes the adversary weaker in two-player games

Volkan Cevher, Ashok Cutkosky, Ali Kavis, Georgios Piliouras, Stratis Skoulakis

Data Pruning via Moving-one-Sample-out

Haoru Tan, Sitong Wu, Fei Du, Yukang Chen, Zhibin Wang

LayoutGPT: Compositional Visual Planning and Generation with Large Language Models

Weixi Feng, Wanrong Zhu, Tsu-Jui Fu, Varun Jampani, Arjun Akula

RVD: A Handheld Device-Based Fundus Video Dataset for Retinal Vessel Segmentation

MD WAHIDUZZAMAN KHAN, Hongwei Sheng, Hu Zhang, Heming Du, Sen Wang

Orthogonal Non-negative Tensor Factorization based Multi-view Clustering

Jing Li, Quanxue Gao, Qianqian Wang, Ming Yang, Wei Xia

The Pick-to-Learn Algorithm: Empowering Compression for Tight Generalization Bounds and Improved Post-training Performance

Dario Paccagnan, Marco Campi, Simone Garatti

NurViD: A Large Expert-Level Video Database for Nursing Procedure Activity Understanding

Ming Hu, Lin Wang, Siyuan Yan, Don Ma, Qingli Ren

Adaptive recurrent vision performs zero-shot computation scaling to unseen difficulty levels

Vijay Veerabadran, Srinivas Ravishankar, Yuan Tang, Ritik Raina, Virginia R. de Sa

Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift

Yongduo Sui, Qitian Wu, Jiancan Wu, Qing Cui, Longfei Li

Pengi: An Audio Language Model for Audio Tasks

Soham Deshmukh, Benjamin Elizalde, Rita Singh, Huaming Wang

E2PNet: Event to Point Cloud Registration with Spatio-Temporal Representation Learning

Xiuhong Lin, Changjie Qiu, zhipeng cai, Siqi Shen, Yu Zang

Energy-Based Sliced Wasserstein Distance

Khai Nguyen, nhật Hồ

Disentangling Cognitive Diagnosis with Limited Exercise Labels

Xiangzhi Chen, Le Wu, Fei Liu, Lei Chen, Kun Zhang

S^3: Increasing GPU Utilization during Generative Inference for Higher Throughput

Yunho Jin, Chun-Feng Wu, David Brooks, Gu-Yeon Wei

Joint processing of linguistic properties in brains and language models

SUBBAREDDY OOTA, Manish Gupta, Mariya Toneva

Perceptual adjustment queries and an inverted measurement paradigm for low-rank metric learning

Austin Xu, Andrew McRae, Jingyan Wang, Mark Davenport, Ashwin Pananjady

Global Optimality in Bivariate Gradient-based DAG Learning

Chang Deng, Kevin Bello, Bryon Aragam, Pradeep K Ravikumar, Pradeep K. Ravikumar

OpenGSL: A Comprehensive Benchmark for Graph Structure Learning

Zhiyao Zhou, Sheng Zhou, Bochao Mao, Xuanyi Zhou, Jiawei Chen

Rank-N-Contrast: Learning Continuous Representations for Regression

Kaiwen Zha, Peng Cao, Jeany Son, Yuzhe Yang, Dina Katabi

SG×P : A Sorghum Genotype × Phenotype Prediction Dataset and Benchmark

Zeyu Zhang, Robert Pless, Nadia Shakoor, Austin Carnahan, Abby Stylianou

DFRD: Data-Free Robustness Distillation for Heterogeneous Federated Learning

kangyang Luo, Shuai Wang, Yexuan Fu, Xiang Li, Yunshi Lan

MKOR: Momentum-Enabled Kronecker-Factor-Based Optimizer Using Rank-1 Updates

Mohammad Mozaffari, Sikan Li, Zhao Zhang, Maryam Mehri Dehnavi

Incentives in Federated Learning: Equilibria, Dynamics, and Mechanisms for Welfare Maximization

Aniket Murhekar, Zhuowen Yuan, Bhaskar Ray Chaudhury, Bo Li, Ruta Mehta

Parameterizing Context: Unleashing the Power of Parameter-Efficient Fine-Tuning and In-Context Tuning for Continual Table Semantic Parsing

Yongrui Chen, Shenyu Zhang, Guilin Qi, Xinnan Guo

What Makes Good Examples for Visual In-Context Learning?

Yuanhan Zhang, Kaiyang Zhou, Ziwei Liu

INSPECT: A Multimodal Dataset for Patient Outcome Prediction of Pulmonary Embolisms

Shih-Cheng Huang, Zepeng Huo, Ethan Steinberg, Chia-Chun Chiang, Curtis Langlotz

Predict-then-Calibrate: A New Perspective of Robust Contextual LP

Chunlin Sun, Linyu Liu, Xiaocheng Li

Multi-Objective Intrinsic Reward Learning for Conversational Recommender Systems

Zhendong Chu, Nan Wang, Hongning Wang

A Dataset of Relighted 3D Interacting Hands

Gyeongsik Moon, Shunsuke Saito, Weipeng Xu, Rohan Joshi, Julia Buffalini

The Geometry of Neural Nets' Parameter Spaces Under Reparametrization

Agustinus Kristiadi, Felix Dangel, Philipp Hennig

Does Localization Inform Editing? Surprising Differences in Causality-Based Localization vs. Knowledge Editing in Language Models

Peter Hase, Mohit Bansal, Been Kim, Asma Ghandeharioun

Unsupervised Video Domain Adaptation for Action Recognition: A Disentanglement Perspective

Pengfei Wei, Lingdong Kong, Xinghua Qu, Yi Ren, Zhiqiang Xu

Characterizing Out-of-Distribution Error via Optimal Transport

Yuzhe Lu, Yilong Qin, Runtian Zhai, Andrew Shen, Ketong Chen

Fragment-based Pretraining and Finetuning on Molecular Graphs

Kha-Dinh Luong, Ambuj K Singh

Diffusion-TTA: Test-time Adaptation of Discriminative Models via Generative Feedback

Mihir Prabhudesai, Tsung-Wei Ke, Alex Li, Deepak Pathak, Katerina Fragkiadaki

Optimal Guarantees for Algorithmic Reproducibility and Gradient Complexity in Convex Optimization

Liang Zhang, Junchi Yang, Amin Karbasi, Niao He

Understanding the detrimental class-level effects of data augmentation

Polina Kirichenko, Mark Ibrahim, Randall Balestriero, Diane Bouchacourt, Shanmukha Ramakrishna Vedantam

Crystal Structure Prediction by Joint Equivariant Diffusion

Rui Jiao, Wenbing Huang, Peijia Lin, Jiaqi Han, Pin Chen

Efficient Neural Music Generation

Max W. Y. Lam, Qiao Tian, Tang Li, Zongyu Yin, Siyuan Feng

Learning in the Presence of Low-dimensional Structure: A Spiked Random Matrix Perspective

Jimmy Ba, Murat A Erdogdu, Taiji Suzuki, Zhichao Wang, Denny Wu

Block Low-Rank Preconditioner with Shared Basis for Stochastic Optimization

Jui-Nan Yen, Sai Surya Duvvuri, Cho-jui Hsieh, Inderjit S Dhillon, Inderjit S. Dhillon

Implicit Convolutional Kernels for Steerable CNNs

Maksim Zhdanov, Nico Hoffmann, Gabriele Cesa

Semi-Implicit Denoising Diffusion Models (SIDDMs)

Yanwu Xu, Mingming Gong, Shaoan Xie, Wei Wei, Matthias Grundmann

Dynamic Non-monotone Submodular Maximization

Kiarash Banihashem, Leyla Biabani, Samira Goudarzi, MohammadTaghi Hajiaghayi, Peyman Jabbarzade

Weighted ROC Curve in Cost Space: Extending AUC to Cost-Sensitive Learning

HuiYang Shao, Qianqian Xu, Zhiyong Yang, Peisong Wen, Gao Peifeng

Neural Lad: A Neural Latent Dynamics Framework for Times Series Modeling

ting li, Jianguo Li, Zhanxing Zhu

Towards Robust and Expressive Whole-body Human Pose and Shape Estimation

Hui En Pang, Zhongang Cai, Lei Yang, Qingyi Tao, Zhonghua Wu

Transfer Learning with Affine Model Transformation

Shunya Minami, Kenji Fukumizu, Yoshihiro Hayashi, Ryo Yoshida

Online Ad Allocation with Predictions

Fabian Spaeh, Alina Ene

A Comprehensive Study on Text-attributed Graphs: Benchmarking and Rethinking

Hao Yan, Chaozhuo Li, Ruosong Long, Chao Yan, Jianan Zhao

Adversarial Examples Are Not Real Features

Ang Li, Yifei Wang, Yiwen Guo, Yisen Wang

Weakly-Supervised Audio-Visual Segmentation

Shentong Mo, Bhiksha Raj

Structure from Duplicates: Neural Inverse Graphics from a Pile of Objects

Tianhang Cheng, Wei-Chiu Ma, Kaiyu Guan, Antonio Torralba, Shenlong Wang

Selective Amnesia: A Continual Learning Approach to Forgetting in Deep Generative Models

Alvin Heng, Harold Soh

Augmented Memory Replay-based Continual Learning Approaches for Network Intrusion Detection

suresh kumar amalapuram, Sumohana Channappayya, Bheemarjuna Reddy Tamma

Diffusion-Based Probabilistic Uncertainty Estimation for Active Domain Adaptation

Zhekai Du, Jingjing Li

Incomplete Multimodality-Diffused Emotion Recognition

Yuanzhi Wang, Yong Li, Zhen Cui

Laughing Hyena Distillery: Extracting Compact Recurrences From Convolutions

Stefano Massaroli, Michael Poli, Dan Fu, Hermann Kumbong, Rom Parnichkun

3D Copy-Paste: Physically Plausible Object Insertion for Monocular 3D Detection

Yunhao Ge, Hong-Xing Yu, Cheng Zhao, Yuliang Guo, Xinyu Huang

FACE: Evaluating Natural Language Generation with Fourier Analysis of Cross-Entropy

Zuhao Yang, Yingfang Yuan, Yang Xu, SHUO ZHAN, Huajun Bai

Certifiably Robust Graph Contrastive Learning

Minhua Lin, Teng Xiao, Enyan Dai, Xiang Zhang, Suhang Wang

Structured Semidefinite Programming for Recovering Structured Preconditioners

Arun Jambulapati, Jerry Li, Christopher Musco, Kirankumar Shiragur, Aaron Sidford

Beyond Normal: On the Evaluation of Mutual Information Estimators

Paweł Czyż, Frederic Grabowski, Julia Vogt, Niko Beerenwinkel, Alexander Marx

Causal discovery from observational and interventional data across multiple environments

Adam Li, Amin Jaber, Elias Bareinboim