Network Augmentation for Tiny Deep Learning
Comments ICLR 2022
期刊&会议
International Conference on Learning Representations · 会议 · Machine Learning
Comments ICLR 2022
Comments Published as a conference paper at ICLR 2022
Comments ICLR 2022 camera-ready
Comments Published as a conference paper at ICLR 2022
Comments ICLR 2022; Source code: https://github.com/thjashin/mirror-stein-samplers
Comments Published at ICLR 2022, code available at https://github.com/ejnnr/steerable_pdos
Comments Published in ICLR 2022
Comments Accepted by the 10th International Conference on Learning Representations (ICLR 2022)
Comments Published at ICLR 2022
Comments Published as a workshop paper at EmeCom at ICLR 2022
Comments Accepted by ICLR 2022
Comments ICLR 2022 camera ready version
Comments Accepted to AfricaNLP Workshop @ICLR 2022
Comments 41 pages, 19 figures, 15 tables; minor CIFAR-10 normalisation updates from ICLR 2022 camera-ready version
Comments ICLR 2022. 51 pages, 10 pages for main text. Forum and code: https://openreview.net/forum?id=tUa4REjGjTf
Journal ref ICLR 2022
Comments 26 pages
Journal ref ICLR 2022
Comments Published at ICLR 2021
Comments ICLR 2021 (Reprint)
Comments 7 pages, 1 figure, Published at ML Evaluation Standards Workshop at ICLR 2022. arXiv admin note: substantial text overlap with arXiv:1905.06289
Comments Accepted to the ICLR 2022 Workshop on Geometrical and Topological Representation Learning
Comments ICLR 2022
Comments 17 pages, 5 figures
Journal ref ICLR 2022
Comments Presented at ICLR 2022; Code can be found at: https://github.com/vihari/cgd
Comments 25 pages, 6 figures. Code published at github.com/JonasGeiping/fullbatchtraining. Decompressed version of paper published at ICLR 2022
Comments 24 pages, 6 figures, Accepted at ICLR 2022 (spotlight)
Comments 7 pages, 2 figures. To appear at the ICLR 2022 GroundedML Workshop
Comments Published in International Conference on Learning Representations (ICLR 2022)
Comments Accepted to ICLR 2022
Comments Published version, to appear in ICLR workshop Deep Generative Models for Highly Structured Data. Additional appendices