Understanding the Behaviour of Contrastive Loss

15 December 2020

Papers citing "Understanding the Behaviour of Contrastive Loss"

8 / 308 papers shown

Title
Can contrastive learning avoid shortcut solutions? Joshua Robinson Li Sun Ke Yu Kayhan Batmanghelich Stefanie Jegelka S. Sra SSL 19 141 0 21 Jun 2021
Watching Too Much Television is Good: Self-Supervised Audio-Visual Representation Learning from Movies and TV Shows Mahdi M. Kalayeh Nagendra Kamath Lingyi Liu Ashok Chandrashekar SSL 19 2 0 16 Jun 2021
Mean-Shifted Contrastive Loss for Anomaly Detection Tal Reiss Yedid Hoshen 6 115 0 07 Jun 2021
Momentum Contrastive Voxel-wise Representation Learning for Semi-supervised Volumetric Medical Image Segmentation Chenyu You Ruihan Zhao Lawrence H. Staib James S. Duncan SSL 35 106 0 14 May 2021
ConCAD: Contrastive Learning-based Cross Attention for Sleep Apnea Detection Guanjie Huang Fenglong Ma 19 10 0 07 May 2021
SoundCLR: Contrastive Learning of Representations For Improved Environmental Sound Classification Alireza Nasiri Jianjun Hu 17 17 0 02 Mar 2021
Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-Tuning Yifan Zhang Bryan Hooi Dapeng Hu Jian Liang Jiashi Feng 71 64 0 12 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