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Con$^{2}$DA: Simplifying Semi-supervised Domain Adaptation by Learning
  Consistent and Contrastive Feature Representations

Con2^{2}2DA: Simplifying Semi-supervised Domain Adaptation by Learning Consistent and Contrastive Feature Representations

4 April 2022
M. Pérez-Carrasco
P. Protopapas
Guillermo Cabrera-Vives
ArXivPDFHTML

Papers citing "Con$^{2}$DA: Simplifying Semi-supervised Domain Adaptation by Learning Consistent and Contrastive Feature Representations"

4 / 4 papers shown
Title
Semi-supervised Domain Adaptation via Prototype-based Multi-level
  Learning
Semi-supervised Domain Adaptation via Prototype-based Multi-level Learning
Xinyang Huang
Chuanglu Zhu
Wenkai Chen
42
12
0
04 May 2023
Addressing Distribution Shift at Test Time in Pre-trained Language
  Models
Addressing Distribution Shift at Test Time in Pre-trained Language Models
Ayush Singh
J. Ortega
VLM
29
4
0
05 Dec 2022
Pick up the PACE: Fast and Simple Domain Adaptation via Ensemble
  Pseudo-Labeling
Pick up the PACE: Fast and Simple Domain Adaptation via Ensemble Pseudo-Labeling
Christopher Liao
Theodoros Tsiligkaridis
Brian Kulis
VLM
TTA
OOD
27
3
0
26 May 2022
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
310
39,252
0
01 Sep 2014
1