Viewmaker Networks: Learning Views for Unsupervised Representation
Learning

Viewmaker Networks: Learning Views for Unsupervised Representation Learning

14 October 2020

Noah D. Goodman

Papers citing "Viewmaker Networks: Learning Views for Unsupervised Representation Learning"

13 / 13 papers shown

Title
Saturn Platform: Foundation Model Operations and Generative AI for Financial Services Antonio Busson Rennan Gaio Rafael H. Rocha Francisco Evangelista Bruno Rizzi Luan Carvalho Rafael Miceli Marcos Rabaioli David Favaro 23 1 0 12 Dec 2023
Advances and Challenges in Meta-Learning: A Technical Review Anna Vettoruzzo Mohamed-Rafik Bouguelia Joaquin Vanschoren Thorsteinn Rögnvaldsson K. Santosh OffRL 19 70 0 10 Jul 2023
Constructive Assimilation: Boosting Contrastive Learning Performance through View Generation Strategies Ligong Han Seung-Jun Han Shivchander Sudalairaj Charlotte Loh Rumen Dangovski ... Pulkit Agrawal Dimitris N. Metaxas Leonid Karlinsky Tsui-Wei Weng Akash Srivastava 19 1 0 02 Apr 2023
Learning Self-Regularized Adversarial Views for Self-Supervised Vision Transformers Tao Tang Changlin Li Guangrun Wang Kaicheng Yu Xiaojun Chang Xiaodan Liang ViT 20 1 0 16 Oct 2022
Empirical Evaluation of Data Augmentations for Biobehavioral Time Series Data with Deep Learning Huiyuan Yang Han Yu Akane Sano AI4TS 19 5 0 13 Oct 2022
Utilizing Expert Features for Contrastive Learning of Time-Series Representations Manuel Nonnenmacher Lukas Oldenburg Ingo Steinwart David Reeb AI4TS 21 21 0 23 Jun 2022
Adversarial Masking for Self-Supervised Learning Yuge Shi N. Siddharth Philip H. S. Torr Adam R. Kosiorek SSL 56 82 0 31 Jan 2022
Learning Representations with Contrastive Self-Supervised Learning for Histopathology Applications Karin Stacke Jonas Unger Claes Lundström Gabriel Eilertsen OOD SSL 21 25 0 10 Dec 2021
SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption Dara Bahri Heinrich Jiang Yi Tay Donald Metzler SSL 17 163 0 29 Jun 2021
Timers and Such: A Practical Benchmark for Spoken Language Understanding with Numbers Loren Lugosch Piyush Papreja Mirco Ravanelli A. Heba Titouan Parcollet 19 12 0 04 Apr 2021
Characterizing and Improving the Robustness of Self-Supervised Learning through Background Augmentations Chaitanya K. Ryali D. Schwab Ari S. Morcos SSL 24 9 0 23 Mar 2021
MedAug: Contrastive learning leveraging patient metadata improves representations for chest X-ray interpretation Yen Nhi Truong Vu Richard Wang N. Balachandar Can Liu A. Ng Pranav Rajpurkar 13 81 0 21 Feb 2021
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 267 3,369 0 09 Mar 2020