SelfAugment: Automatic Augmentation Policies for Self-Supervised Learning

16 September 2020

Papers citing "SelfAugment: Automatic Augmentation Policies for Self-Supervised Learning"

31 / 31 papers shown

Title
Occam's Razor for Self Supervised Learning: What is Sufficient to Learn Good Representations? Mark Ibrahim David Klindt Randall Balestriero SSL 56 2 1 15 Jun 2024
A Concise Tiling Strategy for Preserving Spatial Context in Earth Observation Imagery Ellianna Abrahams Tasha Snow Matthew R. Siegfried Fernando Pérez 21 1 0 16 Apr 2024
SASSL: Enhancing Self-Supervised Learning via Neural Style Transfer Renan A. Rojas-Gomez Karan Singhal Ali Etemad Alex Bijamov Warren Morningstar Philip Mansfield 14 1 0 02 Dec 2023
Which Augmentation Should I Use? An Empirical Investigation of Augmentations for Self-Supervised Phonocardiogram Representation Learning Aristotelis Ballas Vasileios Papapanagiotou Christos Diou 30 0 0 01 Dec 2023
Self-supervised Learning for Anomaly Detection in Computational Workflows Hongwei Jin Krishnan Raghavan George Papadimitriou Cong Wang A. Mandal Ewa Deelman Prasanna Balaprakash 22 1 0 02 Oct 2023
A Cookbook of Self-Supervised Learning Randall Balestriero Mark Ibrahim Vlad Sobal Ari S. Morcos Shashank Shekhar ... Pierre Fernandez Amir Bar Hamed Pirsiavash Yann LeCun Micah Goldblum SyDa FedML SSL 36 272 0 24 Apr 2023
No Free Lunch in Self Supervised Representation Learning Ihab Bendidi Adrien Bardes E. Cohen Alexis Lamiable Guillaume Bollot Auguste Genovesio OOD 43 11 0 23 Apr 2023
Unsupervised Learning on a DIET: Datum IndEx as Target Free of Self-Supervision, Reconstruction, Projector Head Randall Balestriero 38 3 0 20 Feb 2023
A Review of Predictive and Contrastive Self-supervised Learning for Medical Images Wei-Chien Wang E. Ahn Da-wei Feng Jinman Kim MedIm 19 27 0 10 Feb 2023
RankMe: Assessing the downstream performance of pretrained self-supervised representations by their rank Q. Garrido Randall Balestriero Laurent Najman Yann LeCun SSL 46 72 0 05 Oct 2022
Prior Knowledge-Guided Attention in Self-Supervised Vision Transformers Kevin Miao Akash Gokul Raghav Singh Suzanne Petryk Joseph E. Gonzalez Kurt Keutzer Trevor Darrell Colorado Reed ViT MedIm 31 6 0 07 Sep 2022
Refine and Represent: Region-to-Object Representation Learning Akash Gokul Konstantinos Kallidromitis Shufang Li Yu Kato Kazuki Kozuka Trevor Darrell Colorado Reed SSeg 27 5 0 25 Aug 2022
RenyiCL: Contrastive Representation Learning with Skew Renyi Divergence Kyungmin Lee Jinwoo Shin SSL DRL 22 10 0 12 Aug 2022
On the Importance of Hyperparameters and Data Augmentation for Self-Supervised Learning Diane Wagner Fabio Ferreira Daniel Stoll R. Schirrmeister Samuel G. Müller Frank Hutter 13 16 0 16 Jul 2022
On the Importance and Applicability of Pre-Training for Federated Learning Hong-You Chen Cheng-Hao Tu Zi-hua Li Hang Shen Wei-Lun Chao FedML 11 77 0 23 Jun 2022
A Survey of Automated Data Augmentation Algorithms for Deep Learning-based Image Classification Tasks Z. Yang Richard Sinnott James Bailey Qiuhong Ke 16 39 0 14 Jun 2022
Using Representation Expressiveness and Learnability to Evaluate Self-Supervised Learning Methods Yuchen Lu Zhen Liu A. Baratin Romain Laroche Aaron C. Courville Alessandro Sordoni SSL 15 0 0 02 Jun 2022
Multi-Augmentation for Efficient Visual Representation Learning for Self-supervised Pre-training Van-Nhiem Tran Chi-En Huang Shenxiu Liu Kaicheng Yang Timothy Ko Yung-Hui Li SSL 25 0 0 24 May 2022
Global Contrast Masked Autoencoders Are Powerful Pathological Representation Learners Hao Quan Xingyu Li Weixing Chen Qun Bai Mingchen Zou Ruijie Yang Tingting Zheng R. Qi Xin Gao Xiaoyu Cui MedIm 23 19 0 18 May 2022
Chaos is a Ladder: A New Theoretical Understanding of Contrastive Learning via Augmentation Overlap Yifei Wang Qi Zhang Yisen Wang Jiansheng Yang Zhouchen Lin 14 98 0 25 Mar 2022
TeachAugment: Data Augmentation Optimization Using Teacher Knowledge Teppei Suzuki ViT 13 48 0 25 Feb 2022
Constrained Mean Shift Using Distant Yet Related Neighbors for Representation Learning K. Navaneet Soroush Abbasi Koohpayegani Ajinkya Tejankar Kossar Pourahmadi Akshayvarun Subramanya Hamed Pirsiavash SSL 19 8 0 08 Dec 2021
Contrastive Representation Learning with Trainable Augmentation Channel Masanori Koyama Kentaro Minami Takeru Miyato Y. Gal 8 1 0 15 Nov 2021
No True State-of-the-Art? OOD Detection Methods are Inconsistent across Datasets Fahim Tajwar Ananya Kumar Sang Michael Xie Percy Liang OODD 19 21 0 12 Sep 2021
Self-supervised Contrastive Learning for Irrigation Detection in Satellite Imagery Chitra Agastya Sirak Ghebremusse I. Anderson Colorado Reed H. Vahabi Alberto Todeschini 16 18 0 12 Aug 2021
Predicting with Confidence on Unseen Distributions Devin Guillory Vaishaal Shankar Sayna Ebrahimi Trevor Darrell Ludwig Schmidt UQCV OOD 15 115 0 07 Jul 2021
On Feature Decorrelation in Self-Supervised Learning Tianyu Hua Wenxiao Wang Zihui Xue Sucheng Ren Yue Wang Hang Zhao SSL OOD 114 187 0 02 May 2021
Region Similarity Representation Learning Tete Xiao Colorado Reed Xiaolong Wang Kurt Keutzer Trevor Darrell VLM SSL 27 116 0 24 Mar 2021
Self-Supervised Pretraining Improves Self-Supervised Pretraining Colorado Reed Xiangyu Yue Aniruddha Nrusimha Sayna Ebrahimi Vivek Vijaykumar ... Shanghang Zhang Devin Guillory Sean L. Metzger Kurt Keutzer Trevor Darrell 23 104 0 23 Mar 2021
Which Model to Transfer? Finding the Needle in the Growing Haystack Cédric Renggli André Susano Pinto Luka Rimanic J. Puigcerver C. Riquelme Ce Zhang Mario Lucic 21 23 0 13 Oct 2020
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 243 3,367 0 09 Mar 2020