Clarinet: A One-step Approach Towards Budget-friendly Unsupervised
  Domain Adaptation
v1v2 (latest)

Clarinet: A One-step Approach Towards Budget-friendly Unsupervised Domain Adaptation

International Joint Conference on Artificial Intelligence (IJCAI), 2020

Papers citing "Clarinet: A One-step Approach Towards Budget-friendly Unsupervised Domain Adaptation"

15 / 15 papers shown
Title
TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation
TOHAN: A One-step Approach towards Few-shot Hypothesis AdaptationNeural Information Processing Systems (NeurIPS), 2021
153
32
0
11 Jun 2021
Fusing Higher-order Features in Graph Neural Networks for Skeleton-based
  Action Recognition
Fusing Higher-order Features in Graph Neural Networks for Skeleton-based Action RecognitionIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
222
88
0
04 May 2021
Interpretable Signed Link Prediction with Signed Infomax Hyperbolic
  Graph
Interpretable Signed Link Prediction with Signed Infomax Hyperbolic GraphIEEE Transactions on Knowledge and Data Engineering (TKDE), 2020
148
13
0
25 Nov 2020
Transfer Adaptation Learning: A Decade Survey
Transfer Adaptation Learning: A Decade Survey
Lei Zhang
Xinbo Gao
255
217
0
12 Mar 2019

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