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2207.04050
Cited By
Few-Example Clustering via Contrastive Learning
8 July 2022
M-U Jang
Sae-Young Chung
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Papers citing
"Few-Example Clustering via Contrastive Learning"
31 / 31 papers shown
Title
ScaleNet: An Unsupervised Representation Learning Method for Limited Information
Huili Huang
M. M. Roozbahani
SSL
93
804
0
03 Oct 2023
G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling
Souradip Chakraborty
A. R. Gosthipaty
Sayak Paul
SSL
24
18
0
25 Sep 2020
The classification for High-dimension low-sample size data
Liran Shen
Meng Joo Er
Qingbo Yin
29
22
0
21 Jun 2020
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
371
6,806
0
13 Jun 2020
Prototypical Contrastive Learning of Unsupervised Representations
Junnan Li
Pan Zhou
Caiming Xiong
Guosheng Lin
SSL
DRL
134
973
0
11 May 2020
Clustering based Contrastive Learning for Improving Face Representations
Vivek Sharma
Makarand Tapaswi
M. Sarfraz
Rainer Stiefelhagen
CVBM
SSL
62
46
0
05 Apr 2020
TAFSSL: Task-Adaptive Feature Sub-Space Learning for few-shot classification
M. Lichtenstein
P. Sattigeri
Rogerio Feris
Raja Giryes
Leonid Karlinsky
83
77
0
14 Mar 2020
A Simple Framework for Contrastive Learning of Visual Representations
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
369
18,778
0
13 Feb 2020
Unsupervised Few-shot Learning via Self-supervised Training
Zilong Ji
Xiaolong Zou
Tiejun Huang
Si Wu
SSL
45
24
0
20 Dec 2019
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
499
42,449
0
03 Dec 2019
Self-labelling via simultaneous clustering and representation learning
Yuki M. Asano
Christian Rupprecht
Andrea Vedaldi
SSL
123
773
0
13 Nov 2019
SimpleShot: Revisiting Nearest-Neighbor Classification for Few-Shot Learning
Yan Wang
Wei-Lun Chao
Kilian Q. Weinberger
Laurens van der Maaten
VLM
69
340
0
12 Nov 2019
Robust Training with Ensemble Consensus
Jisoo Lee
Sae-Young Chung
NoLa
41
28
0
22 Oct 2019
Differentiable Deep Clustering with Cluster Size Constraints
Aude Genevay
Gabriel Dulac-Arnold
Jean-Philippe Vert
43
40
0
20 Oct 2019
Transductive Episodic-Wise Adaptive Metric for Few-Shot Learning
Limeng Qiao
Yemin Shi
Jia Li
Yaowei Wang
Tiejun Huang
Yonghong Tian
67
182
0
05 Oct 2019
TapNet: Neural Network Augmented with Task-Adaptive Projection for Few-Shot Learning
Sung Whan Yoon
Jun Seo
Jaekyun Moon
67
275
0
16 May 2019
A Closer Look at Few-shot Classification
Wei-Yu Chen
Yen-Cheng Liu
Z. Kira
Y. Wang
Jia-Bin Huang
114
1,767
0
08 Apr 2019
Are Few-Shot Learning Benchmarks too Simple ? Solving them without Task Supervision at Test-Time
Gabriel Huang
Hugo Larochelle
Simon Lacoste-Julien
SSL
OOD
91
21
0
22 Feb 2019
Meta-Learning with Latent Embedding Optimization
Andrei A. Rusu
Dushyant Rao
Jakub Sygnowski
Oriol Vinyals
Razvan Pascanu
Simon Osindero
R. Hadsell
139
1,371
0
16 Jul 2018
TADAM: Task dependent adaptive metric for improved few-shot learning
Boris N. Oreshkin
Pau Rodríguez López
Alexandre Lacoste
96
1,313
0
23 May 2018
Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels
Bo Han
Quanming Yao
Xingrui Yu
Gang Niu
Miao Xu
Weihua Hu
Ivor Tsang
Masashi Sugiyama
NoLa
113
2,069
0
18 Apr 2018
On First-Order Meta-Learning Algorithms
Alex Nichol
Joshua Achiam
John Schulman
230
2,232
0
08 Mar 2018
Learning to Compare: Relation Network for Few-Shot Learning
Flood Sung
Yongxin Yang
Li Zhang
Tao Xiang
Philip Torr
Timothy M. Hospedales
295
4,050
0
16 Nov 2017
A Closer Look at Memorization in Deep Networks
Devansh Arpit
Stanislaw Jastrzebski
Nicolas Ballas
David M. Krueger
Emmanuel Bengio
...
Tegan Maharaj
Asja Fischer
Aaron Courville
Yoshua Bengio
Simon Lacoste-Julien
TDI
125
1,818
0
16 Jun 2017
Prototypical Networks for Few-shot Learning
Jake C. Snell
Kevin Swersky
R. Zemel
300
8,134
0
15 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
823
11,909
0
09 Mar 2017
Matching Networks for One Shot Learning
Oriol Vinyals
Charles Blundell
Timothy Lillicrap
Koray Kavukcuoglu
Daan Wierstra
VLM
373
7,323
0
13 Jun 2016
Unsupervised Deep Embedding for Clustering Analysis
Junyuan Xie
Ross B. Girshick
Ali Farhadi
SSL
86
2,875
0
19 Nov 2015
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.8K
150,115
0
22 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.6K
100,386
0
04 Sep 2014
Clustering for high-dimension, low-sample size data using distance vectors
Y. Terada
40
11
0
12 Dec 2013
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