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A Framework For Contrastive Self-Supervised Learning And Designing A New
  Approach

A Framework For Contrastive Self-Supervised Learning And Designing A New Approach

31 August 2020
William Falcon
Kyunghyun Cho
    SSL
ArXivPDFHTML

Papers citing "A Framework For Contrastive Self-Supervised Learning And Designing A New Approach"

31 / 31 papers shown
Title
Enhancing Anomaly Detection Generalization through Knowledge Exposure:
  The Dual Effects of Augmentation
Enhancing Anomaly Detection Generalization through Knowledge Exposure: The Dual Effects of Augmentation
Mohammad Akhavan Anvari
Rojina Kashefi
Vahid Reza Khazaie
Mohammad Khalooei
Mohammad Sabokrou
48
0
0
15 Jun 2024
A Review on Discriminative Self-supervised Learning Methods in Computer Vision
A Review on Discriminative Self-supervised Learning Methods in Computer Vision
Nikolaos Giakoumoglou
Tania Stathaki
Athanasios Gkelias
SSL
64
0
0
08 May 2024
Improving Antibody Humanness Prediction using Patent Data
Improving Antibody Humanness Prediction using Patent Data
Talip Uçar
Aubin Ramon
Dino Oglic
Rebecca Croasdale-wood
Tom Diethe
Pietro Sormanni
25
1
0
25 Jan 2024
In-Distribution and Out-of-Distribution Self-supervised ECG
  Representation Learning for Arrhythmia Detection
In-Distribution and Out-of-Distribution Self-supervised ECG Representation Learning for Arrhythmia Detection
S. Soltanieh
J. Hashemi
Ali Etemad
27
11
0
13 Apr 2023
Prompt-Based Learning for Thread Structure Prediction in Cybersecurity
  Forums
Prompt-Based Learning for Thread Structure Prediction in Cybersecurity Forums
Kazuaki Kashihara
Kuntal Kumar Pal
Chitta Baral
Robert P. Trevino
16
1
0
05 Mar 2023
Supervised and Contrastive Self-Supervised In-Domain Representation
  Learning for Dense Prediction Problems in Remote Sensing
Supervised and Contrastive Self-Supervised In-Domain Representation Learning for Dense Prediction Problems in Remote Sensing
Ali Ghanbarzade
Hossein Soleimani
SSL
31
0
0
29 Jan 2023
Interactive Visual Feature Search
Interactive Visual Feature Search
Devon Ulrich
Ruth C. Fong
FAtt
21
0
0
28 Nov 2022
The Robustness Limits of SoTA Vision Models to Natural Variation
The Robustness Limits of SoTA Vision Models to Natural Variation
Mark Ibrahim
Q. Garrido
Ari S. Morcos
Diane Bouchacourt
VLM
43
16
0
24 Oct 2022
Neural Causal Models for Counterfactual Identification and Estimation
Neural Causal Models for Counterfactual Identification and Estimation
K. Xia
Yushu Pan
Elias Bareinboim
CML
43
32
0
30 Sep 2022
enpheeph: A Fault Injection Framework for Spiking and Compressed Deep
  Neural Networks
enpheeph: A Fault Injection Framework for Spiking and Compressed Deep Neural Networks
Alessio Colucci
A. Steininger
Muhammad Shafique
19
12
0
31 Jul 2022
User Guide for KOTE: Korean Online Comments Emotions Dataset
User Guide for KOTE: Korean Online Comments Emotions Dataset
Duyoung Jeon
Junho Lee
Cheongtag Kim
31
0
0
11 May 2022
Time-based Self-supervised Learning for Wireless Capsule Endoscopy
Time-based Self-supervised Learning for Wireless Capsule Endoscopy
Guillem Pascual
Pablo Laiz
A. García
Hagen Wenzek
Jordi Vitrià
Santi Seguí
22
11
0
20 Apr 2022
Perfectly Balanced: Improving Transfer and Robustness of Supervised
  Contrastive Learning
Perfectly Balanced: Improving Transfer and Robustness of Supervised Contrastive Learning
Mayee F. Chen
Daniel Y. Fu
A. Narayan
Michael Zhang
Zhao-quan Song
Kayvon Fatahalian
Christopher Ré
SSL
29
47
0
15 Apr 2022
Negative Selection by Clustering for Contrastive Learning in Human
  Activity Recognition
Negative Selection by Clustering for Contrastive Learning in Human Activity Recognition
Jinqiang Wang
Tao Zhu
L. Chen
Huansheng Ning
Yaping Wan
SSL
HAI
23
30
0
23 Mar 2022
Improving Classification Model Performance on Chest X-Rays through Lung
  Segmentation
Improving Classification Model Performance on Chest X-Rays through Lung Segmentation
Hilda Azimi
Jianxing Zhang
Pengcheng Xi
H. Asad
Ashkan Ebadi
Stéphane Tremblay
Alexander Wong
21
7
0
22 Feb 2022
SubOmiEmbed: Self-supervised Representation Learning of Multi-omics Data
  for Cancer Type Classification
SubOmiEmbed: Self-supervised Representation Learning of Multi-omics Data for Cancer Type Classification
S. Hashim
Muhammad Ali
Karthik Nandakumar
Mohammad Yaqub
22
3
0
03 Feb 2022
Tools and Practices for Responsible AI Engineering
Tools and Practices for Responsible AI Engineering
Ryan Soklaski
Justin A. Goodwin
Olivia M. Brown
Michael Yee
J. Matterer
25
18
0
14 Jan 2022
VoxSRC 2021: The Third VoxCeleb Speaker Recognition Challenge
VoxSRC 2021: The Third VoxCeleb Speaker Recognition Challenge
A. Brown
Jaesung Huh
Joon Son Chung
Arsha Nagrani
Daniel Garcia-Romero
Andrew Zisserman
31
40
0
12 Jan 2022
Robust Contrastive Learning against Noisy Views
Robust Contrastive Learning against Noisy Views
Ching-Yao Chuang
R. Devon Hjelm
Xin Wang
Vibhav Vineet
Neel Joshi
Antonio Torralba
Stefanie Jegelka
Ya-heng Song
NoLa
13
68
0
12 Jan 2022
EM-driven unsupervised learning for efficient motion segmentation
EM-driven unsupervised learning for efficient motion segmentation
E. Meunier
A. Badoual
P. Bouthemy
30
39
0
06 Jan 2022
Recur, Attend or Convolve? On Whether Temporal Modeling Matters for
  Cross-Domain Robustness in Action Recognition
Recur, Attend or Convolve? On Whether Temporal Modeling Matters for Cross-Domain Robustness in Action Recognition
Sofia Broomé
Ernest Pokropek
Boyu Li
Hedvig Kjellström
21
7
0
22 Dec 2021
Learning Representations with Contrastive Self-Supervised Learning for
  Histopathology Applications
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
Variational Wasserstein gradient flow
Variational Wasserstein gradient flow
JiaoJiao Fan
Qinsheng Zhang
Amirhossein Taghvaei
Yongxin Chen
72
54
0
04 Dec 2021
Latent Structure Mining with Contrastive Modality Fusion for Multimedia
  Recommendation
Latent Structure Mining with Contrastive Modality Fusion for Multimedia Recommendation
Jinghao Zhang
Yanqiao Zhu
Qiang Liu
Mengqi Zhang
Shu Wu
Liang Wang
22
34
0
01 Nov 2021
SubTab: Subsetting Features of Tabular Data for Self-Supervised
  Representation Learning
SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning
Talip Uçar
Ehsan Hajiramezanali
Lindsay Edwards
LMTD
SSL
28
124
0
08 Oct 2021
Self-supervised representation learning from 12-lead ECG data
Self-supervised representation learning from 12-lead ECG data
Temesgen Mehari
Nils Strodthoff
SSL
21
141
0
23 Mar 2021
Graph Contrastive Learning with Adaptive Augmentation
Graph Contrastive Learning with Adaptive Augmentation
Yanqiao Zhu
Yichen Xu
Feng Yu
Qiang Liu
Shu Wu
Liang Wang
34
1,072
0
27 Oct 2020
For self-supervised learning, Rationality implies generalization,
  provably
For self-supervised learning, Rationality implies generalization, provably
Yamini Bansal
Gal Kaplun
Boaz Barak
OOD
SSL
58
22
0
16 Oct 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
32
628
0
02 Oct 2020
Understanding Self-supervised Learning with Dual Deep Networks
Understanding Self-supervised Learning with Dual Deep Networks
Yuandong Tian
Lantao Yu
Xinlei Chen
Surya Ganguli
SSL
13
78
0
01 Oct 2020
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
267
3,371
0
09 Mar 2020
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