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Contrastive Classification and Representation Learning with
  Probabilistic Interpretation

Contrastive Classification and Representation Learning with Probabilistic Interpretation

7 November 2022
Rahaf Aljundi
Yash J. Patel
Milan Šulc
Daniel Olmeda
N. Chumerin
    SSL
ArXivPDFHTML

Papers citing "Contrastive Classification and Representation Learning with Probabilistic Interpretation"

13 / 13 papers shown
Title
The Hitchhiker's Guide to Prior-Shift Adaptation
The Hitchhiker's Guide to Prior-Shift Adaptation
Tomas Sipka
Milan Šulc
Jirí Matas
VLM
22
16
0
22 Jun 2021
Exploring Simple Siamese Representation Learning
Exploring Simple Siamese Representation Learning
Xinlei Chen
Kaiming He
SSL
247
4,036
0
20 Nov 2020
Hard Negative Mixing for Contrastive Learning
Hard Negative Mixing for Contrastive Learning
Yannis Kalantidis
Mert Bulent Sariyildiz
Noé Pion
Philippe Weinzaepfel
Diane Larlus
SSL
120
643
0
02 Oct 2020
Unsupervised Learning of Visual Features by Contrasting Cluster
  Assignments
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
Mathilde Caron
Ishan Misra
Julien Mairal
Priya Goyal
Piotr Bojanowski
Armand Joulin
OCL
SSL
215
4,070
0
17 Jun 2020
Bootstrap your own latent: A new approach to self-supervised Learning
Bootstrap your own latent: A new approach to self-supervised Learning
Jean-Bastien Grill
Florian Strub
Florent Altché
Corentin Tallec
Pierre Harvey Richemond
...
M. G. Azar
Bilal Piot
Koray Kavukcuoglu
Rémi Munos
Michal Valko
SSL
339
6,773
0
13 Jun 2020
Prototypical Contrastive Learning of Unsupervised Representations
Prototypical Contrastive Learning of Unsupervised Representations
Junnan Li
Pan Zhou
Caiming Xiong
Guosheng Lin
SSL
DRL
132
971
0
11 May 2020
Supervised Contrastive Learning
Supervised Contrastive Learning
Prannay Khosla
Piotr Teterwak
Chen Wang
Aaron Sarna
Yonglong Tian
Phillip Isola
Aaron Maschinot
Ce Liu
Dilip Krishnan
SSL
141
4,532
0
23 Apr 2020
A unifying mutual information view of metric learning: cross-entropy vs.
  pairwise losses
A unifying mutual information view of metric learning: cross-entropy vs. pairwise losses
Malik Boudiaf
Jérôme Rony
Imtiaz Masud Ziko
Eric Granger
M. Pedersoli
Pablo Piantanida
Ismail Ben Ayed
SSL
75
159
0
19 Mar 2020
Circle Loss: A Unified Perspective of Pair Similarity Optimization
Circle Loss: A Unified Perspective of Pair Similarity Optimization
Yifan Sun
Changmao Cheng
Yuhan Zhang
Chi Zhang
Liang Zheng
Zhongdao Wang
Yichen Wei
83
857
0
25 Feb 2020
Momentum Contrast for Unsupervised Visual Representation Learning
Momentum Contrast for Unsupervised Visual Representation Learning
Kaiming He
Haoqi Fan
Yuxin Wu
Saining Xie
Ross B. Girshick
SSL
171
12,065
0
13 Nov 2019
Smooth Loss Functions for Deep Top-k Classification
Smooth Loss Functions for Deep Top-k Classification
Leonard Berrada
Andrew Zisserman
M. P. Kumar
46
118
0
21 Feb 2018
The Relative Performance of Ensemble Methods with Deep Convolutional
  Neural Networks for Image Classification
The Relative Performance of Ensemble Methods with Deep Convolutional Neural Networks for Image Classification
Cheng Ju
Aurélien F. Bibaut
Mark van der Laan
UQCV
67
360
0
05 Apr 2017
No Fuss Distance Metric Learning using Proxies
No Fuss Distance Metric Learning using Proxies
Yair Movshovitz-Attias
Alexander Toshev
Thomas Leung
Sergey Ioffe
Saurabh Singh
83
640
0
21 Mar 2017
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