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Learning to cluster in order to transfer across domains and tasks

Learning to cluster in order to transfer across domains and tasks

28 November 2017
Yen-Chang Hsu
Zhaoyang Lv
Z. Kira
    OOD
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Papers citing "Learning to cluster in order to transfer across domains and tasks"

11 / 61 papers shown
Title
OpenMix: Reviving Known Knowledge for Discovering Novel Visual
  Categories in An Open World
OpenMix: Reviving Known Knowledge for Discovering Novel Visual Categories in An Open World
Zhun Zhong
Linchao Zhu
Zhiming Luo
Shaozi Li
Yi Yang
N. Sebe
VLM
CLL
33
113
0
12 Apr 2020
Domain Generalization via Model-Agnostic Learning of Semantic Features
Domain Generalization via Model-Agnostic Learning of Semantic Features
Qi Dou
Daniel Coelho De Castro
Konstantinos Kamnitsas
Ben Glocker
OOD
45
685
0
29 Oct 2019
Learning to Discover Novel Visual Categories via Deep Transfer
  Clustering
Learning to Discover Novel Visual Categories via Deep Transfer Clustering
Kai Han
Andrea Vedaldi
Andrew Zisserman
SSL
21
291
0
26 Aug 2019
Charting the Right Manifold: Manifold Mixup for Few-shot Learning
Charting the Right Manifold: Manifold Mixup for Few-shot Learning
Puneet Mangla
M. Singh
Abhishek Sinha
Nupur Kumari
V. Balasubramanian
Balaji Krishnamurthy
SSL
8
327
0
28 Jul 2019
Large-Scale Long-Tailed Recognition in an Open World
Large-Scale Long-Tailed Recognition in an Open World
Ziwei Liu
Zhongqi Miao
Xiaohang Zhan
Jiayun Wang
Boqing Gong
Stella X. Yu
24
1,132
0
10 Apr 2019
A Closer Look at Few-shot Classification
A Closer Look at Few-shot Classification
Wei-Yu Chen
Yen-Cheng Liu
Z. Kira
Y. Wang
Jia-Bin Huang
30
1,753
0
08 Apr 2019
Are Few-Shot Learning Benchmarks too Simple ? Solving them without Task
  Supervision at Test-Time
Are Few-Shot Learning Benchmarks too Simple ? Solving them without Task Supervision at Test-Time
Gabriel Huang
Hugo Larochelle
Simon Lacoste-Julien
SSL
OOD
32
21
0
22 Feb 2019
Clustering-Oriented Representation Learning with Attractive-Repulsive
  Loss
Clustering-Oriented Representation Learning with Attractive-Repulsive Loss
Kian Kenyon-Dean
Andre Cianflone
Lucas Caccia
Guillaume Rabusseau
Jackie C.K. Cheung
Doina Precup
16
12
0
18 Dec 2018
Learning Neural Models for End-to-End Clustering
Learning Neural Models for End-to-End Clustering
B. Meier
Ismail Elezi
Mohammadreza Amirian
Oliver Durr
Thilo Stadelmann
SSL
19
16
0
11 Jul 2018
A probabilistic constrained clustering for transfer learning and image
  category discovery
A probabilistic constrained clustering for transfer learning and image category discovery
Yen-Chang Hsu
Zhaoyang Lv
Joel Schlosser
Phillip Odom
Z. Kira
19
3
0
28 Jun 2018
Detection of Paroxysmal Atrial Fibrillation using Attention-based
  Bidirectional Recurrent Neural Networks
Detection of Paroxysmal Atrial Fibrillation using Attention-based Bidirectional Recurrent Neural Networks
S. Shashikumar
Amit J. Shah
Gari D. Clifford
S. Nemati
19
78
0
07 May 2018
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