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Towards Improved and Interpretable Deep Metric Learning via Attentive
  Grouping

Towards Improved and Interpretable Deep Metric Learning via Attentive Grouping

17 November 2020
Xinyi Xu
Zhangyang Wang
Cheng Deng
Hao Yuan
Shuiwang Ji
    FedML
ArXivPDFHTML

Papers citing "Towards Improved and Interpretable Deep Metric Learning via Attentive Grouping"

4 / 4 papers shown
Title
GenKL: An Iterative Framework for Resolving Label Ambiguity and Label
  Non-conformity in Web Images Via a New Generalized KL Divergence
GenKL: An Iterative Framework for Resolving Label Ambiguity and Label Non-conformity in Web Images Via a New Generalized KL Divergence
Xia Huang
Kai Fong Ernest Chong
42
2
0
19 Jul 2023
MIXRTs: Toward Interpretable Multi-Agent Reinforcement Learning via Mixing Recurrent Soft Decision Trees
MIXRTs: Toward Interpretable Multi-Agent Reinforcement Learning via Mixing Recurrent Soft Decision Trees
Zichuan Liu
Zichuan Liu
Zhi Wang
Yuanyang Zhu
Chunlin Chen
57
5
0
15 Sep 2022
Boosting Factorization Machines via Saliency-Guided Mixup
Boosting Factorization Machines via Saliency-Guided Mixup
Chenwang Wu
Defu Lian
Yong Ge
Min Zhou
Enhong Chen
Dacheng Tao
11
4
0
17 Jun 2022
Group Contrastive Self-Supervised Learning on Graphs
Group Contrastive Self-Supervised Learning on Graphs
Xinyi Xu
Cheng Deng
Yaochen Xie
Shuiwang Ji
SSL
4
17
0
20 Jul 2021
1