NeurIPS

Biologically-Plausible Determinant Maximization Neural Networks for Blind Separation of Correlated Sources

Bariscan Bozkurt, Cengiz Pehlevan, Alper T. Erdogan

Comments NeurIPS 2022, 37 pages

Multi-dataset Training of Transformers for Robust Action Recognition

Junwei Liang, Enwei Zhang, Jun Zhang, Chunhua Shen

Comments NeurIPS 2022 Spotlight paper. Supplementary material at https://openreview.net/forum?id=aGFQDrNb-KO. Code and models are available at https://github.com/JunweiLiang/MultiTrain

JPEG Artifact Correction using Denoising Diffusion Restoration Models

Bahjat Kawar, Jiaming Song, Stefano Ermon, Michael Elad

Comments Presented at NeurIPS 2022 Workshop on Score-Based Methods. Code: https://github.com/bahjat-kawar/ddrm-jpeg

Revisiting Active Sets for Gaussian Process Decoders

Pablo Moreno-Muñoz, Cilie W Feldager, Søren Hauberg

Comments Accepted at Advances in Neural Information Processing Systems (NeurIPS) 2022

Blackbox Attacks via Surrogate Ensemble Search

Zikui Cai, Chengyu Song, Srikanth Krishnamurthy, Amit Roy-Chowdhury, M. Salman Asif

Comments Our code is available at https://github.com/CSIPlab/BASES

Journal ref NeurIPS 2022

JAWS: Auditing Predictive Uncertainty Under Covariate Shift

Drew Prinster, Anqi Liu, Suchi Saria

Comments Thirty-sixth Conference on Neural Information Processing Systems

Learning Symmetric Rules with SATNet

Sangho Lim, Eun-Gyeol Oh, Hongseok Yang

Comments 27 pages, 10 figures, the first two authors contributed equally to this work, accepted at NeurIPS'22

CLiMB: A Continual Learning Benchmark for Vision-and-Language Tasks

Tejas Srinivasan, Ting-Yun Chang, Leticia Leonor Pinto Alva, Georgios Chochlakis, Mohammad Rostami, Jesse Thomason

Comments Accepted to NeurIPS 2022 Datasets and Benchmarks track

Regret Bounds for Information-Directed Reinforcement Learning

Botao Hao, Tor Lattimore

Comments Accepted at NeurIPS 2022

Few-Shot Audio-Visual Learning of Environment Acoustics

Sagnik Majumder, Changan Chen, Ziad Al-Halah, Kristen Grauman

Comments Accepted to NeurIPS 2022

Generalized Delayed Feedback Model with Post-Click Information in Recommender Systems

Jia-Qi Yang, De-Chuan Zhan

Comments NeurIPS'22

Improving Multi-Task Generalization via Regularizing Spurious Correlation

Ziniu Hu, Zhe Zhao, Xinyang Yi, Tiansheng Yao, Lichan Hong, Yizhou Sun, Ed H. Chi

Comments Published on NeurIPS 2022

Stress-Testing Point Cloud Registration on Automotive LiDAR

Amnon Drory, Shai Avidan, Raja Giryes

Comments Accepted to the NeurIPS 2022 workshop on Machine Learning for Autonomous Driving. Project Page: https://github.com/AmnonDrory/LidarRegistration

Capturing Failures of Large Language Models via Human Cognitive Biases

Erik Jones, Jacob Steinhardt

Comments Published at NeurIPS 2022

Nonlinear MCMC for Bayesian Machine Learning

James Vuckovic

Comments This version is accepted to NeurIPS 2022 and replaces the previous working draft. 10 + 27 pages, many figures

A Brief Overview of AI Governance for Responsible Machine Learning Systems

Navdeep Gill, Abhishek Mathur, Marcos V. Conde

Comments NeurIPS 2022 Trustworthy and Socially Responsible Machine Learning (TSRML) Workshop

This is the way: designing and compiling LEPISZCZE, a comprehensive NLP benchmark for Polish

Łukasz Augustyniak, Kamil Tagowski, Albert Sawczyn, Denis Janiak, Roman Bartusiak, Adrian Szymczak, Marcin Wątroba, Arkadiusz Janz, Piotr Szymański, Mikołaj Morzy, Tomasz Kajdanowicz, Maciej Piasecki

Comments 10 pages, 8 pages appendix

Journal ref Thirty-sixth Conference on Neural Information Processing Systems Datasets and Benchmarks Track (NeurIPS 2022) - https://lepiszcze.ml

Cultural Incongruencies in Artificial Intelligence

Vinodkumar Prabhakaran, Rida Qadri, Ben Hutchinson

Comments 3 page position paper, presented at the NeurIPS 2022 Workshop on Cultures in AI/AI in Culture

Sparse2Dense: Learning to Densify 3D Features for 3D Object Detection

Tianyu Wang, Xiaowei Hu, Zhengzhe Liu, Chi-Wing Fu

Comments Accepted to 36th Conference on Neural Information Processing Systems (NeurIPS 2022). Code will be released on https://github.com/stevewongv/Sparse2Dense

Pyrocast: a Machine Learning Pipeline to Forecast Pyrocumulonimbus (PyroCb) Clouds

Kenza Tazi, Emiliano Díaz Salas-Porras, Ashwin Braude, Daniel Okoh, Kara D. Lamb, Duncan Watson-Parris, Paula Harder, Nis Meinert

Comments 5 pages, 2 figures, Tackling Climate Change with Machine Learning: workshop at NeurIPS 2022

Challenges in Gaussian Processes for Non Intrusive Load Monitoring

Aadesh Desai, Gautam Vashishtha, Zeel B Patel, Nipun Batra

Comments Accepted at NeurIPS Workshop on Gaussian Processes, Spatiotemporal Modeling, and Decision-making Systems, 2023

Adversarial Attacks are a Surprisingly Strong Baseline for Poisoning Few-Shot Meta-Learners

Elre T. Oldewage, John Bronskill, Richard E. Turner

Comments Accepted at I Can't Believe It's Not Better Workshop, Neurips 2022

Causal Analysis of the TOPCAT Trial: Spironolactone for Preserved Cardiac Function Heart Failure

Francesca E. D. Raimondi, Tadhg O'Keeffe, Hana Chockler, Andrew R. Lawrence, Tamara Stemberga, Andre Franca, Maksim Sipos, Javed Butler, Shlomo Ben-Haim

Journal ref NeurIPS 2022 Workshop on Causal Machine Learning for Real-World Impact (CML4Impact 2022)

GhostNetV2: Enhance Cheap Operation with Long-Range Attention

Yehui Tang, Kai Han, Jianyuan Guo, Chang Xu, Chao Xu, Yunhe Wang

Comments This paper is accepted by NeurIPS 2022 (Spotlight)

SketchBoost: Fast Gradient Boosted Decision Tree for Multioutput Problems

Leonid Iosipoi, Anton Vakhrushev

Comments 25 pages, 6 figures. Advances in Neural Information Processing Systems (NeurIPS) 2022

Learning Regularized Positional Encoding for Molecular Prediction

Xiang Gao, Weihao Gao, Wenzhi Xiao, Zhirui Wang, Chong Wang, Liang Xiang

Comments AI4Science Workshop at NeurIPS 2022

Benchmarking Bayesian Deep Learning on Diabetic Retinopathy Detection Tasks

Neil Band, Tim G. J. Rudner, Qixuan Feng, Angelos Filos, Zachary Nado, Michael W. Dusenberry, Ghassen Jerfel, Dustin Tran, Yarin Gal

Comments Published in Neural Information Processing Systems (NeurIPS) 2021 Datasets and Benchmarks Track Proceedings. First two authors contributed equally. Code available at https://rebrand.ly/retina-benchmark

Noisy Symbolic Abstractions for Deep RL: A case study with Reward Machines

Andrew C. Li, Zizhao Chen, Pashootan Vaezipoor, Toryn Q. Klassen, Rodrigo Toro Icarte, Sheila A. McIlraith

Comments NeurIPS Deep Reinforcement Learning Workshop 2022

Sparse Probabilistic Circuits via Pruning and Growing

Meihua Dang, Anji Liu, Guy Van den Broeck

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

NLP meets psychotherapy: Using predicted client emotions and self-reported client emotions to measure emotional coherence

Neha Warikoo, Tobias Mayer, Dana Atzil-Slonim, Amir Eliassaf, Shira Haimovitz, Iryna Gurevych

Comments Accepted at Empowering Communities: A Participatory Approach to AI for Mental Health, NeurIPS 2022 VIRTUAL Workshop