NeurIPS

Instance-Dependent Bounds for Zeroth-order Lipschitz Optimization with Error Certificates

François Bachoc, Tommaso R Cesari, Sébastien Gerchinovitz

Journal ref NeurIPS 2021, Dec 2021, Virtual conference, France. 24 p

PointTAD: Multi-Label Temporal Action Detection with Learnable Query Points

Jing Tan, Xiaotong Zhao, Xintian Shi, Bin Kang, Limin Wang

Comments NeurIPS 2022 camera ready version

Collecting Interactive Multi-modal Datasets for Grounded Language Understanding

Shrestha Mohanty, Negar Arabzadeh, Milagro Teruel, Yuxuan Sun, Artem Zholus, Alexey Skrynnik, Mikhail Burtsev, Kavya Srinet, Aleksandr Panov, Arthur Szlam, Marc-Alexandre Côté, Julia Kiseleva

Journal ref Interactive Learning for Natural Language Processing NeurIPS 2022 Workshop

Motion Transformer with Global Intention Localization and Local Movement Refinement

Shaoshuai Shi, Li Jiang, Dengxin Dai, Bernt Schiele

Comments Accepted by NeurIPS 2022 as Oral Presentation

EcoFormer: Energy-Saving Attention with Linear Complexity

Jing Liu, Zizheng Pan, Haoyu He, Jianfei Cai, Bohan Zhuang

Comments NeurIPS 2022 camera ready; First two authors contributed equally

S-Prompts Learning with Pre-trained Transformers: An Occam's Razor for Domain Incremental Learning

Yabin Wang, Zhiwu Huang, Xiaopeng Hong

Comments Accepted to NeurIPS 2022

Toward a realistic model of speech processing in the brain with self-supervised learning

Juliette Millet, Charlotte Caucheteux, Pierre Orhan, Yves Boubenec, Alexandre Gramfort, Ewan Dunbar, Christophe Pallier, Jean-Remi King

Comments Accepted to NeurIPS 2022

Journal ref Neural Information Processing Systems (NeurIPS), 2022

No-Regret Learning in Games with Noisy Feedback: Faster Rates and Adaptivity via Learning Rate Separation

Yu-Guan Hsieh, Kimon Antonakopoulos, Volkan Cevher, Panayotis Mertikopoulos

Comments In Advances in Neural Information Processing Systems 35 (NeurIPS 2022)

HUMUS-Net: Hybrid unrolled multi-scale network architecture for accelerated MRI reconstruction

Zalan Fabian, Berk Tinaz, Mahdi Soltanolkotabi

Comments 18 pages, 11 figures, NeurIPS 2022

Model Extraction Attacks on Split Federated Learning

Jingtao Li, Adnan Siraj Rakin, Xing Chen, Li Yang, Zhezhi He, Deliang Fan, Chaitali Chakrabarti

Comments Its Neurips Review is available at https://openreview.net/forum?id=vdxOesWgbyN

Diffusion Curvature for Estimating Local Curvature in High Dimensional Data

Dhananjay Bhaskar, Kincaid MacDonald, Oluwadamilola Fasina, Dawson Thomas, Bastian Rieck, Ian Adelstein, Smita Krishnaswamy

Journal ref Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS 2022)

Sinkhorn-Flow: Predicting Probability Mass Flow in Dynamical Systems Using Optimal Transport

Mukul Bhutani, J. Zico Kolter

Comments A prior version of the work appeared in the Optimal Transport Workshop at NeurIPS 2019

Certifiably-correct Control Policies for Safe Learning and Adaptation in Assistive Robotics

Keyvan Majd, Geoffrey Clark, Tanmay Khandait, Siyu Zhou, Sriram Sankaranarayanan, Georgios Fainekos, Heni Ben Amor

Comments Appeared in the 36th Conference on Neural Information Processing Systems (NeurIPS) - Robot Learning Workshop. arXiv admin note: substantial text overlap with arXiv:2303.04431

Unifying Grokking and Double Descent

Xander Davies, Lauro Langosco, David Krueger

Comments ML Safety Workshop, 36th Conference on Neural Information Processing Systems (NeurIPS 2022)

Diffusion models for missing value imputation in tabular data

Shuhan Zheng, Nontawat Charoenphakdee

Comments Accepted to Table Representation Learning Workshop at NeurIPS 2022. Renamed proposed method name to TabCSDI

Communication-Efficient Topologies for Decentralized Learning with $O(1)$ Consensus Rate

Zhuoqing Song, Weijian Li, Kexin Jin, Lei Shi, Ming Yan, Wotao Yin, Kun Yuan

Comments NeurIPS 2022

A fast and flexible machine learning approach to data quality monitoring

Gaia Grosso, Nicolò Lai, Marco Letizia, Jacopo Pazzini, Marco Rando, Andrea Wulzer, Marco Zanetti

Comments Accepted at the NeurIPS 2022 workshop: Machine Learning and the Physical Sciences. Full version at arXiv:2303.05413

In Defense of the Unitary Scalarization for Deep Multi-Task Learning

Vitaly Kurin, Alessandro De Palma, Ilya Kostrikov, Shimon Whiteson, M. Pawan Kumar

Comments NeurIPS 2022 camera-ready version, fixed training loss y axis scale

Neural Collapse with Normalized Features: A Geometric Analysis over the Riemannian Manifold

Can Yaras, Peng Wang, Zhihui Zhu, Laura Balzano, Qing Qu

Comments The first two authors contributed to this work equally; 38 pages, 13 figures. Accepted at NeurIPS'22

Masked Spectrogram Modeling using Masked Autoencoders for Learning General-purpose Audio Representation

Daisuke Niizumi, Daiki Takeuchi, Yasunori Ohishi, Noboru Harada, Kunio Kashino

Comments 22 pages, 8 figures. Under the review process

Journal ref HEAR: Holistic Evaluation of Audio Representations (NeurIPS 2021 Competition) PMLR 166 (2022) 1-24

The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset

Hugo Laurençon, Lucile Saulnier, Thomas Wang, Christopher Akiki, Albert Villanova del Moral, Teven Le Scao, Leandro Von Werra, Chenghao Mou, Eduardo González Ponferrada, Huu Nguyen, Jörg Frohberg, Mario Šaško, Quentin Lhoest, Angelina McMillan-Major, Gerard Dupont, Stella Biderman, Anna Rogers, Loubna Ben allal, Francesco De Toni, Giada Pistilli, Olivier Nguyen, Somaieh Nikpoor, Maraim Masoud, Pierre Colombo, Javier de la Rosa, Paulo Villegas, Tristan Thrush, Shayne Longpre, Sebastian Nagel, Leon Weber, Manuel Muñoz, Jian Zhu, Daniel Van Strien, Zaid Alyafeai, Khalid Almubarak, Minh Chien Vu, Itziar Gonzalez-Dios, Aitor Soroa, Kyle Lo, Manan Dey, Pedro Ortiz Suarez, Aaron Gokaslan, Shamik Bose, David Adelani, Long Phan, Hieu Tran, Ian Yu, Suhas Pai, Jenny Chim, Violette Lepercq, Suzana Ilic, Margaret Mitchell, Sasha Alexandra Luccioni, Yacine Jernite

Comments NeurIPS 2022, Datasets and Benchmarks Track

Training Subset Selection for Weak Supervision

Hunter Lang, Aravindan Vijayaraghavan, David Sontag

Comments NeurIPS 2022

Discovery of Single Independent Latent Variable

Uri Shaham, Jonathan Svirsky, Ori Katz, Ronen Talmon

Comments Published as a conference paper at Neurips 2022. In the current version the proof of the lemma is modified

Journal ref Advances in Neural Information Processing Systems 2022

GLOBEM Dataset: Multi-Year Datasets for Longitudinal Human Behavior Modeling Generalization

Xuhai Xu, Han Zhang, Yasaman Sefidgar, Yiyi Ren, Xin Liu, Woosuk Seo, Jennifer Brown, Kevin Kuehn, Mike Merrill, Paula Nurius, Shwetak Patel, Tim Althoff, Margaret E. Morris, Eve Riskin, Jennifer Mankoff, Anind K. Dey

Comments Thirty-sixth Conference on Neural Information Processing Systems Datasets and Benchmarks Track

Online Algorithms for the Santa Claus Problem

MohammadTaghi Hajiaghayi, MohammadReza Khani, Debmalya Panigrahi, Max Springer

Comments Appeared at NeurIPS '22, 15 pages, 1 figure

Falsification before Extrapolation in Causal Effect Estimation

Zeshan Hussain, Michael Oberst, Ming-Chieh Shih, David Sontag

Comments Conference on Neural Information Processing Systems, 2022

EF-BV: A Unified Theory of Error Feedback and Variance Reduction Mechanisms for Biased and Unbiased Compression in Distributed Optimization

Laurent Condat, Kai Yi, Peter Richtárik

Comments Conference NeurIPS 2022

Constrained Predictive Coding as a Biologically Plausible Model of the Cortical Hierarchy

Siavash Golkar, Tiberiu Tesileanu, Yanis Bahroun, Anirvan M. Sengupta, Dmitri B. Chklovskii

Comments 24 pages, 9 figures; accepted in NeurIPS 2022

How Sampling Impacts the Robustness of Stochastic Neural Networks

Sina Däubener, Asja Fischer

Comments NeurIPS 2022

The Role of Local Alignment and Uniformity in Image-Text Contrastive Learning on Medical Images

Philip Müller, Georgios Kaissis, Daniel Rueckert

Comments NeurIPS 2022 Workshop: Self-Supervised Learning - Theory and Practice (Reason for updated version: correction of a typo in Eq. (2) and (3))