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TLDR: Twin Learning for Dimensionality Reduction

TLDR: Twin Learning for Dimensionality Reduction

18 October 2021
Yannis Kalantidis
Carlos Lassance
Jon Almazán
Diane Larlus
    SSL
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Papers citing "TLDR: Twin Learning for Dimensionality Reduction"

13 / 13 papers shown
Title
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
61
1
0
08 May 2024
Self-supervised visual learning in the low-data regime: a comparative
  evaluation
Self-supervised visual learning in the low-data regime: a comparative evaluation
Sotirios Konstantakos
Despina Ioanna Chalkiadaki
Ioannis Mademlis
Yuki M. Asano
E. Gavves
Georgios Th. Papadopoulos
29
6
0
26 Apr 2024
RecDCL: Dual Contrastive Learning for Recommendation
RecDCL: Dual Contrastive Learning for Recommendation
Dan Zhang
Yangliao Geng
Wenwen Gong
Zhongang Qi
Zhiyu Chen
Xing Tang
Ying Shan
Yuxiao Dong
Jie Tang
35
24
0
28 Jan 2024
Know Your Self-supervised Learning: A Survey on Image-based Generative
  and Discriminative Training
Know Your Self-supervised Learning: A Survey on Image-based Generative and Discriminative Training
Utku Ozbulak
Hyun Jung Lee
Beril Boga
Esla Timothy Anzaku
Ho-min Park
Arnout Van Messem
W. D. Neve
J. Vankerschaver
DiffM
26
36
0
23 May 2023
Unsupervised visualization of image datasets using contrastive learning
Unsupervised visualization of image datasets using contrastive learning
Jan Boehm
Philipp Berens
D. Kobak
SSL
21
15
0
18 Oct 2022
Granularity-aware Adaptation for Image Retrieval over Multiple Tasks
Granularity-aware Adaptation for Image Retrieval over Multiple Tasks
Jon Almazán
ByungSoo Ko
Geonmo Gu
Diane Larlus
Yannis Kalantidis
ObjD
VLM
28
7
0
05 Oct 2022
Injecting Domain Adaptation with Learning-to-hash for Effective and
  Efficient Zero-shot Dense Retrieval
Injecting Domain Adaptation with Learning-to-hash for Effective and Efficient Zero-shot Dense Retrieval
Nandan Thakur
Nils Reimers
Jimmy J. Lin
VLM
23
4
0
23 May 2022
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
314
5,775
0
29 Apr 2021
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information
  Retrieval Models
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models
Nandan Thakur
Nils Reimers
Andreas Rucklé
Abhishek Srivastava
Iryna Gurevych
VLM
231
966
0
17 Apr 2021
Understanding self-supervised Learning Dynamics without Contrastive
  Pairs
Understanding self-supervised Learning Dynamics without Contrastive Pairs
Yuandong Tian
Xinlei Chen
Surya Ganguli
SSL
138
279
0
12 Feb 2021
SEED: Self-supervised Distillation For Visual Representation
SEED: Self-supervised Distillation For Visual Representation
Zhiyuan Fang
Jianfeng Wang
Lijuan Wang
Lei Zhang
Yezhou Yang
Zicheng Liu
SSL
236
190
0
12 Jan 2021
Learning and aggregating deep local descriptors for instance-level
  recognition
Learning and aggregating deep local descriptors for instance-level recognition
Giorgos Tolias
Tomás Jenícek
Ondvrej Chum
FedML
175
100
0
26 Jul 2020
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
267
3,369
0
09 Mar 2020
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