ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2205.00224
  4. Cited By
Loss Function Entropy Regularization for Diverse Decision Boundaries
v1v2 (latest)

Loss Function Entropy Regularization for Diverse Decision Boundaries

30 April 2022
S. Chong
ArXiv (abs)PDFHTML

Papers citing "Loss Function Entropy Regularization for Diverse Decision Boundaries"

16 / 16 papers shown
Title
Debiased Contrastive Learning
Debiased Contrastive Learning
Ching-Yao Chuang
Joshua Robinson
Yen-Chen Lin
Antonio Torralba
Stefanie Jegelka
SSL
76
566
0
01 Jul 2020
SCAN: Learning to Classify Images without Labels
SCAN: Learning to Classify Images without Labels
Wouter Van Gansbeke
Simon Vandenhende
Stamatios Georgoulis
Marc Proesmans
Luc Van Gool
VLMSSL
111
540
0
25 May 2020
A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual Representations
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
375
18,778
0
13 Feb 2020
Self-Supervised Learning of Pretext-Invariant Representations
Self-Supervised Learning of Pretext-Invariant Representations
Ishan Misra
Laurens van der Maaten
SSLVLM
105
1,458
0
04 Dec 2019
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
207
12,085
0
13 Nov 2019
Self-labelling via simultaneous clustering and representation learning
Self-labelling via simultaneous clustering and representation learning
Yuki M. Asano
Christian Rupprecht
Andrea Vedaldi
SSL
123
777
0
13 Nov 2019
Unsupervised Pre-Training of Image Features on Non-Curated Data
Unsupervised Pre-Training of Image Features on Non-Curated Data
Mathilde Caron
Piotr Bojanowski
Julien Mairal
Armand Joulin
SSL
57
9
0
03 May 2019
Unsupervised Image Matching and Object Discovery as Optimization
Unsupervised Image Matching and Object Discovery as Optimization
Huy V. Vo
Francis R. Bach
Minsu Cho
Kai Han
Yann LeCun
P. Pérez
Jean Ponce
OCL
100
66
0
05 Apr 2019
A Simple Unified Framework for Detecting Out-of-Distribution Samples and
  Adversarial Attacks
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks
Kimin Lee
Kibok Lee
Honglak Lee
Jinwoo Shin
OODD
187
2,060
0
10 Jul 2018
Generative Probabilistic Novelty Detection with Adversarial Autoencoders
Generative Probabilistic Novelty Detection with Adversarial Autoencoders
Stanislav Pidhorskyi
Ranya Almohsen
Donald Adjeroh
Gianfranco Doretto
UQCV
45
322
0
06 Jul 2018
Spreading vectors for similarity search
Spreading vectors for similarity search
Alexandre Sablayrolles
Matthijs Douze
Cordelia Schmid
Hervé Jégou
MQ
108
118
0
08 Jun 2018
Learning Spread-out Local Feature Descriptors
Learning Spread-out Local Feature Descriptors
Xu-Yao Zhang
Felix X. Yu
Sanjiv Kumar
Shih-Fu Chang
62
143
0
21 Aug 2017
SUBIC: A supervised, structured binary code for image search
SUBIC: A supervised, structured binary code for image search
Himalaya Jain
J. Zepeda
P. Pérez
Rémi Gribonval
MQ
69
82
0
09 Aug 2017
Unsupervised Learning by Predicting Noise
Unsupervised Learning by Predicting Noise
Piotr Bojanowski
Armand Joulin
OODSSL
56
295
0
18 Apr 2017
Regularizing Neural Networks by Penalizing Confident Output
  Distributions
Regularizing Neural Networks by Penalizing Confident Output Distributions
Gabriel Pereyra
George Tucker
J. Chorowski
Lukasz Kaiser
Geoffrey E. Hinton
NoLa
165
1,141
0
23 Jan 2017
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation
  Distances
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances
Marco Cuturi
OT
215
4,277
0
04 Jun 2013
1