NeurIPS

Data-Driven Computational Imaging for Scientific Discovery

Andrew Olsen, Yolanda Hu, Vidya Ganapati

Comments NeurIPS 2022 AI for Science: Progress and Promises

Breaking the Symmetry: Resolving Symmetry Ambiguities in Equivariant Neural Networks

Sidhika Balachandar, Adrien Poulenard, Congyue Deng, Leonidas Guibas

Comments 13 pages, 8 figures, NeurIPS Symmetry and Geometry in Neural Representations Conference

Neural Combinatorial Logic Circuit Synthesis from Input-Output Examples

Peter Belcak, Roger Wattenhofer

Comments Accepted to the 2nd Workshop on Math-AI (MATH-AI@NeurIPS'22). 10 pages, 1 figure

Learning Audio-Visual Dynamics Using Scene Graphs for Audio Source Separation

Moitreya Chatterjee, Narendra Ahuja, Anoop Cherian

Comments Accepted at NeurIPS 2022

Cluster Randomized Designs for One-Sided Bipartite Experiments

Jennifer Brennan, Vahab Mirrokni, Jean Pouget-Abadie

Comments 11 pages plus appendix, 2 figures, 3 tables. To appear at NeurIPS 2022

When does mixup promote local linearity in learned representations?

Arslan Chaudhry, Aditya Krishna Menon, Andreas Veit, Sadeep Jayasumana, Srikumar Ramalingam, Sanjiv Kumar

Journal ref NeurIPS 2022 (First Workshop on Interpolation and Beyond)

Elastic Weight Consolidation Improves the Robustness of Self-Supervised Learning Methods under Transfer

Andrius Ovsianas, Jason Ramapuram, Dan Busbridge, Eeshan Gunesh Dhekane, Russ Webb

Comments NeurIPS 2022 Workshop: Self-Supervised Learning - Theory and Practice

Museformer: Transformer with Fine- and Coarse-Grained Attention for Music Generation

Botao Yu, Peiling Lu, Rui Wang, Wei Hu, Xu Tan, Wei Ye, Shikun Zhang, Tao Qin, Tie-Yan Liu

Comments Accepted by the Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS 2022)

Model-Based Offline Reinforcement Learning with Pessimism-Modulated Dynamics Belief

Kaiyang Guo, Yunfeng Shao, Yanhui Geng

Comments NeurIPS 2022 (Oral)

Don't Waste Data: Transfer Learning to Leverage All Data for Machine-Learnt Climate Model Emulation

Raghul Parthipan, Damon J. Wischik

Comments 8 pages. NeurIPS 2022 Workshop: Tackling Climate Change with Machine Learning. Spotlight talk

UniCLIP: Unified Framework for Contrastive Language-Image Pre-training

Janghyeon Lee, Jongsuk Kim, Hyounguk Shon, Bumsoo Kim, Seung Hwan Kim, Honglak Lee, Junmo Kim

Comments Neural Information Processing Systems (NeurIPS) 2022

Towards Improving Calibration in Object Detection Under Domain Shift

Muhammad Akhtar Munir, Muhammad Haris Khan, M. Saquib Sarfraz, Mohsen Ali

Comments To appear in NeurIPS 2022

The least-control principle for local learning at equilibrium

Alexander Meulemans, Nicolas Zucchet, Seijin Kobayashi, Johannes von Oswald, João Sacramento

Comments Published at NeurIPS 2022. 56 pages

SafeBench: A Benchmarking Platform for Safety Evaluation of Autonomous Vehicles

Chejian Xu, Wenhao Ding, Weijie Lyu, Zuxin Liu, Shuai Wang, Yihan He, Hanjiang Hu, Ding Zhao, Bo Li

Comments Published as a conference paper at NeurIPS 2022 (Track on Datasets and Benchmarks)

Certified Graph Unlearning

Eli Chien, Chao Pan, Olgica Milenkovic

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

LIFT: Language-Interfaced Fine-Tuning for Non-Language Machine Learning Tasks

Tuan Dinh, Yuchen Zeng, Ruisu Zhang, Ziqian Lin, Michael Gira, Shashank Rajput, Jy-yong Sohn, Dimitris Papailiopoulos, Kangwook Lee

Comments Accepted at NeurIPS 2022

LST: Ladder Side-Tuning for Parameter and Memory Efficient Transfer Learning

Yi-Lin Sung, Jaemin Cho, Mohit Bansal

Comments NeurIPS 2022 (our code is available at: https://github.com/ylsung/Ladder-Side-Tuning)

Last-Iterate Convergence of Optimistic Gradient Method for Monotone Variational Inequalities

Eduard Gorbunov, Adrien Taylor, Gauthier Gidel

Comments NeurIPS 2022. 21 pages, 2 figures. Changes in v2: few typos were fixed, more clarifications were added. Code: https://github.com/eduardgorbunov/potentials_and_last_iter_convergence_for_VIPs

RB2: Robotic Manipulation Benchmarking with a Twist

Sudeep Dasari, Jianren Wang, Joyce Hong, Shikhar Bahl, Yixin Lin, Austin Wang, Abitha Thankaraj, Karanbir Chahal, Berk Calli, Saurabh Gupta, David Held, Lerrel Pinto, Deepak Pathak, Vikash Kumar, Abhinav Gupta

Comments accepted at the NeurIPS 2021 Datasets and Benchmarks Track

Multi-Scale Adaptive Network for Single Image Denoising

Yuanbiao Gou, Peng Hu, Jiancheng Lv, Joey Tianyi Zhou, Xi Peng

Journal ref the Thirty-Sixth Annual Conference on Neural Information Processing Systems (NeurIPS 2022)

Optimal-er Auctions through Attention

Dmitry Ivanov, Iskander Safiulin, Igor Filippov, Ksenia Balabaeva

Comments NeurIPS 2022

A Variational Edge Partition Model for Supervised Graph Representation Learning

Yilin He, Chaojie Wang, Hao Zhang, Bo Chen, Mingyuan Zhou

Comments 10 pages, 5 figures, 14 pages of appendix, accepted to NeurIPS 2022

Dynamics-Regulated Kinematic Policy for Egocentric Pose Estimation

Zhengyi Luo, Ryo Hachiuma, Ye Yuan, Kris Kitani

Comments NeurIPS 2021. Project page: https://zhengyiluo.github.io/projects/kin_poly/

Learning Modular Simulations for Homogeneous Systems

Jayesh K. Gupta, Sai Vemprala, Ashish Kapoor

Comments First two authors contributed equally. Accepted at NeurIPS 2022

Multimodal Transformer for Parallel Concatenated Variational Autoencoders

Stephen D. Liang, Jerry M. Mendel

Comments NeurIPS 2022 Workshop on Vision Transformers: Theory and Application, New Orleans, LA, December 2022

Benchopt: Reproducible, efficient and collaborative optimization benchmarks

Thomas Moreau, Mathurin Massias, Alexandre Gramfort, Pierre Ablin, Pierre-Antoine Bannier, Benjamin Charlier, Mathieu Dagréou, Tom Dupré la Tour, Ghislain Durif, Cassio F. Dantas, Quentin Klopfenstein, Johan Larsson, En Lai, Tanguy Lefort, Benoit Malézieux, Badr Moufad, Binh T. Nguyen, Alain Rakotomamonjy, Zaccharie Ramzi, Joseph Salmon, Samuel Vaiter

Comments Accepted in proceedings of NeurIPS 22; Benchopt library documentation is available at https://benchopt.github.io/

Characteristics of Harmful Text: Towards Rigorous Benchmarking of Language Models

Maribeth Rauh, John Mellor, Jonathan Uesato, Po-Sen Huang, Johannes Welbl, Laura Weidinger, Sumanth Dathathri, Amelia Glaese, Geoffrey Irving, Iason Gabriel, William Isaac, Lisa Anne Hendricks

Comments Accepted to NeurIPS 2022 Datasets and Benchmarks Track; 10 pages plus appendix

Your Transformer May Not be as Powerful as You Expect

Shengjie Luo, Shanda Li, Shuxin Zheng, Tie-Yan Liu, Liwei Wang, Di He

Comments 22 pages; NeurIPS 2022, Camera Ready Version

Addressing Bias in Face Detectors using Decentralised Data collection with incentives

M. R. Ahan, Robin Lehmann, Richard Blythman

Comments 8 pages. Accepted at NeurIPS 2022 Workshop on Decentralization & Trustworthy Machine Learning in Web3

Journal ref Advances in Neural Information Processing Systems (2022)

Differentially Private CutMix for Split Learning with Vision Transformer

Seungeun Oh, Jihong Park, Sihun Baek, Hyelin Nam, Praneeth Vepakomma, Ramesh Raskar, Mehdi Bennis, Seong-Lyun Kim

Comments to be presented at the 36nd Conference on Neural Information Processing Systems (NeurIPS 2022), First Workshop on Interpolation Regularizers and Beyond (INTERPOLATE), New Orleans, United States