NeurIPS

Efficient and Stable Fully Dynamic Facility Location

Sayan Bhattacharya, Silvio Lattanzi, Nikos Parotsidis

Comments Accepted at NeurIPS 2022 (oral presentation)

Toward domain generalized pruning by scoring out-of-distribution importance

Rizhao Cai, Haoliang Li, Alex Kot

Comments Accepted in Workshop on Distribution Shifts, 36th Conference on Neural Information Processing Systems (NeurIPS 2022)

Pruning's Effect on Generalization Through the Lens of Training and Regularization

Tian Jin, Michael Carbin, Daniel M. Roy, Jonathan Frankle, Gintare Karolina Dziugaite

Comments 49 pages, 20 figures

Journal ref Advances in Neural Information Processing Systems 2022

Geo-SIC: Learning Deformable Geometric Shapes in Deep Image Classifiers

Jian Wang, Miaomiao Zhang

Comments 10 pages, 6 figures, 36th Conference on Neural Information Processing Systems (NeurIPS 2022)

Temporally Disentangled Representation Learning

Weiran Yao, Guangyi Chen, Kun Zhang

Comments NeurIPS 2022. arXiv admin note: text overlap with arXiv:2202.04828

Subspace Recovery from Heterogeneous Data with Non-isotropic Noise

John Duchi, Vitaly Feldman, Lunjia Hu, Kunal Talwar

Comments In NeurIPS 2022

Diversified Recommendations for Agents with Adaptive Preferences

Arpit Agarwal, William Brown

Comments 34 pages, forthcoming in NeurIPS 2022

Quo Vadis: Is Trajectory Forecasting the Key Towards Long-Term Multi-Object Tracking?

Patrick Dendorfer, Vladimir Yugay, Aljoša Ošep, Laura Leal-Taixé

Comments Accepted at NeurIPS 2022; fixed small typo

DIMES: A Differentiable Meta Solver for Combinatorial Optimization Problems

Ruizhong Qiu, Zhiqing Sun, Yiming Yang

Comments Accepted at NeurIPS 2022

Confident Adaptive Language Modeling

Tal Schuster, Adam Fisch, Jai Gupta, Mostafa Dehghani, Dara Bahri, Vinh Q. Tran, Yi Tay, Donald Metzler

Comments NeurIPS 2022 (selected as Oral)

A Unified Model for Multi-class Anomaly Detection

Zhiyuan You, Lei Cui, Yujun Shen, Kai Yang, Xin Lu, Yu Zheng, Xinyi Le

Comments Accepted by NeurIPS 2022

Energy-Based Contrastive Learning of Visual Representations

Beomsu Kim, Jong Chul Ye

Comments NeurIPS 2022 Oral Paper

Deep invariant networks with differentiable augmentation layers

Cédric Rommel, Thomas Moreau, Alexandre Gramfort

Comments Accepted to NeurIPS 2022

A Temporally Consistent Image-based Sun Tracking Algorithm for Solar Energy Forecasting Applications

Quentin Paletta, Joan Lasenby

Comments Accepted as a workshop paper at NeurIPS 2020

Monocular Dynamic View Synthesis: A Reality Check

Hang Gao, Ruilong Li, Shubham Tulsiani, Bryan Russell, Angjoo Kanazawa

Comments NeurIPS 2022. Project page: https://hangg7.com/dycheck. Code: https://github.com/KAIR-BAIR/dycheck

Avalon: A Benchmark for RL Generalization Using Procedurally Generated Worlds

Joshua Albrecht, Abraham J. Fetterman, Bryden Fogelman, Ellie Kitanidis, Bartosz Wróblewski, Nicole Seo, Michael Rosenthal, Maksis Knutins, Zachary Polizzi, James B. Simon, Kanjun Qiu

Comments Accepted to NeurIPS Datasets and Benchmarks 2022. Video and links to all code, data, etc can be found at https://generallyintelligent.com/avalon/

Contrastive Representation Learning for Gaze Estimation

Swati Jindal, Roberto Manduchi

Comments Accepted at NeurIPS 2022 Gaze Meets ML Workshop (Spotlight)

Learning and Covering Sums of Independent Random Variables with Unbounded Support

Alkis Kalavasis, Konstantinos Stavropoulos, Manolis Zampetakis

Comments 60 pages, 0 figures. Accepted to the Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS 2022)

Grounding Aleatoric Uncertainty for Unsupervised Environment Design

Minqi Jiang, Michael Dennis, Jack Parker-Holder, Andrei Lupu, Heinrich Küttler, Edward Grefenstette, Tim Rocktäschel, Jakob Foerster

Comments NeurIPS 2022

Single-phase deep learning in cortico-cortical networks

Will Greedy, Heng Wei Zhu, Joseph Pemberton, Jack Mellor, Rui Ponte Costa

Comments Accepted to 36th Conference on Neural Information Processing Systems (NeurIPS 2022). 22 pages, 9 figures, 5 tables

Semi-Parametric Neural Image Synthesis

Andreas Blattmann, Robin Rombach, Kaan Oktay, Jonas Müller, Björn Ommer

Comments NeurIPS 2022

Listen to Interpret: Post-hoc Interpretability for Audio Networks with NMF

Jayneel Parekh, Sanjeel Parekh, Pavlo Mozharovskyi, Florence d'Alché-Buc, Gaël Richard

Comments Accepted at NeurIPS 2022

A PAC-Bayesian Generalization Bound for Equivariant Networks

Arash Behboodi, Gabriele Cesa, Taco Cohen

Comments 41 pages, 15 figures, accepted at NeurIPS 2022

Scalable Representation Learning in Linear Contextual Bandits with Constant Regret Guarantees

Andrea Tirinzoni, Matteo Papini, Ahmed Touati, Alessandro Lazaric, Matteo Pirotta

Comments Accepted at Neurips 2022

Data-IQ: Characterizing subgroups with heterogeneous outcomes in tabular data

Nabeel Seedat, Jonathan Crabbé, Ioana Bica, Mihaela van der Schaar

Comments Presented at NeurIPS 2022

High-Resolution Image Editing via Multi-Stage Blended Diffusion

Johannes Ackermann, Minjun Li

Comments Machine Learning for Creativity and Design Workshop at NeurIPS 2022

360-MLC: Multi-view Layout Consistency for Self-training and Hyper-parameter Tuning

Bolivar Solarte, Chin-Hsuan Wu, Yueh-Cheng Liu, Yi-Hsuan Tsai, Min Sun

Comments NeurIPS 2022

A Greek Parliament Proceedings Dataset for Computational Linguistics and Political Analysis

Konstantina Dritsa, Kaiti Thoma, John Pavlopoulos, Panos Louridas

Comments Accepted to the 36th Conference on Neural Information Processing Systems (NeurIPS 2022) Track on Datasets and Benchmarks

Deep Equilibrium Approaches to Diffusion Models

Ashwini Pokle, Zhengyang Geng, Zico Kolter

Comments NeurIPS 2022

Respecting Transfer Gap in Knowledge Distillation

Yulei Niu, Long Chen, Chang Zhou, Hanwang Zhang

Comments Accepted by NeurIPS 2022