NeurIPS

Performative Power

Moritz Hardt, Meena Jagadeesan, Celestine Mendler-Dünner

Comments to appear at NeurIPS 2022

IQ-Learn: Inverse soft-Q Learning for Imitation

Divyansh Garg, Shuvam Chakraborty, Chris Cundy, Jiaming Song, Matthieu Geist, Stefano Ermon

Comments Spotlight in NeurIPS 2021. Winner of '21 MineRL BASALT Challenge. Website: https://div99.github.io/IQ-Learn

FourierNets enable the design of highly non-local optical encoders for computational imaging

Diptodip Deb, Zhenfei Jiao, Ruth Sims, Alex B. Chen, Michael Broxton, Misha B. Ahrens, Kaspar Podgorski, Srinivas C. Turaga

Comments Accepted to NeurIPS 2022

Hurricane Forecasting: A Novel Multimodal Machine Learning Framework

Léonard Boussioux, Cynthia Zeng, Théo Guénais, Dimitris Bertsimas

Comments Published by the AMS' Weather and Forecasting journal; Spotlight talk at NeurIPS 2021, Tackling Climate Change with AI ; https://journals.ametsoc.org/view/journals/wefo/37/6/WAF-D-21-0091.1.xml

Journal ref 2022, Weather and Forecasting, 37(6), 817-831

Complete the Missing Half: Augmenting Aggregation Filtering with Diversification for Graph Convolutional Networks

Sitao Luan, Mingde Zhao, Chenqing Hua, Xiao-Wen Chang, Doina Precup

Comments New Frontiers in Graph Learning (GLFrontiers) Workshop (Oral), NeurIPS 2022

Improving Named Entity Recognition in Telephone Conversations via Effective Active Learning with Human in the Loop

Md Tahmid Rahman Laskar, Cheng Chen, Xue-Yong Fu, Shashi Bhushan TN

Comments The final version of this paper will be published in the Proceedings of the DaSH Workshop @ EMNLP 2022. This paper is accepted for presentation in both DaSH@EMNLP 2022 and HiLL@NIPS 2022

Attention-based Neural Cellular Automata

Mattie Tesfaldet, Derek Nowrouzezahrai, Christopher Pal

Comments NeurIPS 2022

RegCLR: A Self-Supervised Framework for Tabular Representation Learning in the Wild

Weiyao Wang, Byung-Hak Kim, Varun Ganapathi

Comments To be presented at the 36th Conference on Neural Information Processing Systems, New Orleans, USA, on December 2, 2022, at the First Table Representation Learning (TRL) Workshop

Gradient Knowledge Distillation for Pre-trained Language Models

Lean Wang, Lei Li, Xu Sun

Comments Accepted by NeurIPS ENLSP 2022 workshop(spotlight)

Fantasizing with Dual GPs in Bayesian Optimization and Active Learning

Paul E. Chang, Prakhar Verma, ST John, Victor Picheny, Henry Moss, Arno Solin

Comments In the 2022 NeurIPS Workshop on Gaussian Processes, Spatiotemporal Modeling, and Decision-making Systems

Learning a Condensed Frame for Memory-Efficient Video Class-Incremental Learning

Yixuan Pei, Zhiwu Qing, Jun Cen, Xiang Wang, Shiwei Zhang, Yaxiong Wang, Mingqian Tang, Nong Sang, Xueming Qian

Comments NeurIPS 2022

Adversarial Auto-Augment with Label Preservation: A Representation Learning Principle Guided Approach

Kaiwen Yang, Yanchao Sun, Jiahao Su, Fengxiang He, Xinmei Tian, Furong Huang, Tianyi Zhou, Dacheng Tao

Comments 36th Conference on Neural Information Processing Systems (NeurIPS 2022)

Beyond Not-Forgetting: Continual Learning with Backward Knowledge Transfer

Sen Lin, Li Yang, Deliang Fan, Junshan Zhang

Comments Published as a conference paper at NeurIPS 2022

Monte Carlo Tree Descent for Black-Box Optimization

Yaoguang Zhai, Sicun Gao

Comments 17 pages, published in NeurIPS 2022

Deep Model Reassembly

Xingyi Yang, Daquan Zhou, Songhua Liu, Jingwen Ye, Xinchao Wang

Comments NeurIPS 2022

Weakly Supervised Data Augmentation Through Prompting for Dialogue Understanding

Maximillian Chen, Alexandros Papangelis, Chenyang Tao, Andy Rosenbaum, Seokhwan Kim, Yang Liu, Zhou Yu, Dilek Hakkani-Tur

Comments To appear in SyntheticData4ML @ NeurIPS 2022. 16 pages, 10 figures, 3 tables

On the Importance of Gradient Norm in PAC-Bayesian Bounds

Itai Gat, Yossi Adi, Alexander Schwing, Tamir Hazan

Comments NeurIPS 22. arXiv admin note: text overlap with arXiv:2002.09866

An Active Learning Reliability Method for Systems with Partially Defined Performance Functions

Jonathan Sadeghi, Romain Mueller, John Redford

Comments To appear in NeurIPS 2022 Workshop on Gaussian Processes, Spatiotemporal Modeling, and Decision-making Systems (GPSMDMS). The code to generate these experiments is available as an open source repository, see http://github.com/fiveai/hGP_experiments/

TVLT: Textless Vision-Language Transformer

Zineng Tang, Jaemin Cho, Yixin Nie, Mohit Bansal

Comments NeurIPS 2022 Oral (21 pages; the first three authors contributed equally)

One-shot Neural Backdoor Erasing via Adversarial Weight Masking

Shuwen Chai, Jinghui Chen

Comments Accepted by NeurIPS 2022 (19 pages, 6 figures, 10 tables)

OpenSRH: optimizing brain tumor surgery using intraoperative stimulated Raman histology

Cheng Jiang, Asadur Chowdury, Xinhai Hou, Akhil Kondepudi, Christian W. Freudiger, Kyle Conway, Sandra Camelo-Piragua, Daniel A. Orringer, Honglak Lee, Todd C. Hollon

Comments Neural Information Processing Systems (NeurIPS) 2022 Datasets and Benchmarks Track

COIN: Co-Cluster Infomax for Bipartite Graphs

Baoyu Jing, Yuchen Yan, Yada Zhu, Hanghang Tong

Comments NeurIPS 2022 GLFrontiers Workshop

Counterfactual harm

Jonathan G. Richens, Rory Beard, Daniel H. Thompson

Comments Accepted at NeurIPS 2022. Included appendix comparing to Beckers et. al. arXiv:2210.05327. Typos corrected

Block-Recurrent Transformers

DeLesley Hutchins, Imanol Schlag, Yuhuai Wu, Ethan Dyer, Behnam Neyshabur

Comments Update to NeurIPS camera-ready version

Fair Wrapping for Black-box Predictions

Alexander Soen, Ibrahim Alabdulmohsin, Sanmi Koyejo, Yishay Mansour, Nyalleng Moorosi, Richard Nock, Ke Sun, Lexing Xie

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

Can we globally optimize cross-validation loss? Quasiconvexity in ridge regression

William T. Stephenson, Zachary Frangella, Madeleine Udell, Tamara Broderick

Comments Published in NeurIPS 2021

Approximate Cross-Validation with Low-Rank Data in High Dimensions

William T. Stephenson, Madeleine Udell, Tamara Broderick

Comments Published in NeurIPS 2020

Journal ref Advances in Neural Information Processing Systems 33 (NeurIPS 2020)

Amplifying Membership Exposure via Data Poisoning

Yufei Chen, Chao Shen, Yun Shen, Cong Wang, Yang Zhang

Comments To Appear in the 36th Conference on Neural Information Processing Systems (NeurIPS 2022)

Improving Variational Autoencoders with Density Gap-based Regularization

Jianfei Zhang, Jun Bai, Chenghua Lin, Yanmeng Wang, Wenge Rong

Comments Accepted to NeurIPS 2022

SADT: Combining Sharpness-Aware Minimization with Self-Distillation for Improved Model Generalization

Masud An-Nur Islam Fahim, Jani Boutellier

Comments Accepted to the "Has it Trained Yet?" Workshop at the Conference on Neural Information Processing Systems (NeurIPS 2022)