NeurIPS

Autoinverse: Uncertainty Aware Inversion of Neural Networks

Navid Ansari, Hans-Peter Seidel, Nima Vahidi Ferdowsi, Vahid Babaei

Comments Accepted to NeurIPS 2022

Domain Adaptation under Open Set Label Shift

Saurabh Garg, Sivaraman Balakrishnan, Zachary C. Lipton

Comments Accepted at NeurIPS 2022

Bessel Equivariant Networks for Inversion of Transmission Effects in Multi-Mode Optical Fibres

Joshua Mitton, Simon Peter Mekhail, Miles Padgett, Daniele Faccio, Marco Aversa, Roderick Murray-Smith

Comments NeurIPS 2022

The alignment property of SGD noise and how it helps select flat minima: A stability analysis

Lei Wu, Mingze Wang, Weijie Su

Comments Accepted at NeurIPS 2022

On Privacy and Personalization in Cross-Silo Federated Learning

Ziyu Liu, Shengyuan Hu, Zhiwei Steven Wu, Virginia Smith

Comments NeurIPS 2022, 37 pages

Model-based RL with Optimistic Posterior Sampling: Structural Conditions and Sample Complexity

Alekh Agarwal, Tong Zhang

Comments NeurIPS 2022 camera ready version

Receding Horizon Inverse Reinforcement Learning

Yiqing Xu, Wei Gao, David Hsu

Comments The paper is accepted by Conference on Neural Information Processing Systems (NeurIPS) 2022

SNAKE: Shape-aware Neural 3D Keypoint Field

Chengliang Zhong, Peixing You, Xiaoxue Chen, Hao Zhao, Fuchun Sun, Guyue Zhou, Xiaodong Mu, Chuang Gan, Wenbing Huang

Comments Accepted by NeurIPS 2022. Codes are available at https://github.com/zhongcl-thu/SNAKE

Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination

Yizhen Zheng, Shirui Pan, Vincent Cs Lee, Yu Zheng, Philip S. Yu

Comments Accepted in NeurIPS 2022

Decomposing NeRF for Editing via Feature Field Distillation

Sosuke Kobayashi, Eiichi Matsumoto, Vincent Sitzmann

Comments Accepted to NeurIPS 2022 https://pfnet-research.github.io/distilled-feature-fields/

Spartan: Differentiable Sparsity via Regularized Transportation

Kai Sheng Tai, Taipeng Tian, Ser-Nam Lim

Comments NeurIPS 2022 camera ready

Degradation-Aware Unfolding Half-Shuffle Transformer for Spectral Compressive Imaging

Yuanhao Cai, Jing Lin, Haoqian Wang, Xin Yuan, Henghui Ding, Yulun Zhang, Radu Timofte, Luc Van Gool

Comments NeurIPS 2022; The first Transformer-based deep unfolding method for spectral compressive imaging

A Fast Post-Training Pruning Framework for Transformers

Woosuk Kwon, Sehoon Kim, Michael W. Mahoney, Joseph Hassoun, Kurt Keutzer, Amir Gholami

Comments NeurIPS 2022

Nonstationary Dual Averaging and Online Fair Allocation

Luofeng Liao, Yuan Gao, Christian Kroer

Comments Neurips 2022

Learning Predictions for Algorithms with Predictions

Mikhail Khodak, Maria-Florina Balcan, Ameet Talwalkar, Sergei Vassilvitskii

Comments NeurIPS 2022 camera-ready

Deterministic particle flows for constraining SDEs

Dimitra Maoutsa, Manfred Opper

Comments 4+3 pages, 2 figures -- workshop paper -- Machine Learning and the Physical Sciences, Workshop at the 35th Conference on Neural Information Processing Systems (NeurIPS 2021) The related journal paper is published here: https://link.aps.org/doi/10.1103/PhysRevResearch.4.043035

Breaking the Sample Complexity Barrier to Regret-Optimal Model-Free Reinforcement Learning

Gen Li, Laixi Shi, Yuxin Chen, Yuejie Chi

Comments Short version in Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS 2021); Full version in Information and Inference: A Journal of the IMA

PhysGNN: A Physics-Driven Graph Neural Network Based Model for Predicting Soft Tissue Deformation in Image-Guided Neurosurgery

Yasmin Salehi, Dennis Giannacopoulos

Comments Accepted to the main track of NeurIPS 2022. Camera-ready version

Pay attention to your loss: understanding misconceptions about 1-Lipschitz neural networks

Louis Béthune, Thibaut Boissin, Mathieu Serrurier, Franck Mamalet, Corentin Friedrich, Alberto González-Sanz

Comments 36 pages, 17 figures, NEURIPS 2022

Variance Reduction on General Adaptive Stochastic Mirror Descent

Wenjie Li, Zhanyu Wang, Yichen Zhang, Guang Cheng

Comments NeurIPS 2020 OPT workshop

Journal ref Machine Learning (2022)

The Impact of Task Underspecification in Evaluating Deep Reinforcement Learning

Vindula Jayawardana, Catherine Tang, Sirui Li, Dajiang Suo, Cathy Wu

Comments Accepted for publication at NeurIPS 2022

Pareto Set Learning for Expensive Multi-Objective Optimization

Xi Lin, Zhiyuan Yang, Xiaoyuan Zhang, Qingfu Zhang

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

Positive-Unlabeled Learning using Random Forests via Recursive Greedy Risk Minimization

Jonathan Wilton, Abigail M. Y. Koay, Ryan K. L. Ko, Miao Xu, Nan Ye

Comments Accepted at NeurIPS 2022

Navigating Memory Construction by Global Pseudo-Task Simulation for Continual Learning

Yejia Liu, Wang Zhu, Shaolei Ren

Comments Accepted by the NeurIPS 2022

LAION-5B: An open large-scale dataset for training next generation image-text models

Christoph Schuhmann, Romain Beaumont, Richard Vencu, Cade Gordon, Ross Wightman, Mehdi Cherti, Theo Coombes, Aarush Katta, Clayton Mullis, Mitchell Wortsman, Patrick Schramowski, Srivatsa Kundurthy, Katherine Crowson, Ludwig Schmidt, Robert Kaczmarczyk, Jenia Jitsev

Comments 36th Conference on Neural Information Processing Systems (NeurIPS 2022), Track on Datasets and Benchmarks. OpenReview: https://openreview.net/forum?id=M3Y74vmsMcY

mRI: Multi-modal 3D Human Pose Estimation Dataset using mmWave, RGB-D, and Inertial Sensors

Sizhe An, Yin Li, Umit Ogras

Comments Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS 2022). Project page: https://sizhean.github.io/mri

MGNNI: Multiscale Graph Neural Networks with Implicit Layers

Juncheng Liu, Bryan Hooi, Kenji Kawaguchi, Xiaokui Xiao

Comments NeurIPS 2022

Deep Differentiable Logic Gate Networks

Felix Petersen, Christian Borgelt, Hilde Kuehne, Oliver Deussen

Comments Published at NeurIPS 2022

Invertible Monotone Operators for Normalizing Flows

Byeongkeun Ahn, Chiyoon Kim, Youngjoon Hong, Hyunwoo J. Kim

Comments NeurIPS 2022

CUP: Critic-Guided Policy Reuse

Jin Zhang, Siyuan Li, Chongjie Zhang

Journal ref NeurIPS 2022