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ProtoAttend: Attention-Based Prototypical Learning

ProtoAttend: Attention-Based Prototypical Learning

17 February 2019
Sercan Ö. Arik
Tomas Pfister
ArXivPDFHTML

Papers citing "ProtoAttend: Attention-Based Prototypical Learning"

6 / 6 papers shown
Title
COMAE: COMprehensive Attribute Exploration for Zero-shot Hashing
COMAE: COMprehensive Attribute Exploration for Zero-shot Hashing
Yuqi Li
Qingqing Long
Yihang Zhou
Ran Zhang
Zhiyuan Ning
Zhihong Zhu
Yuanchun Zhou
Xuezhi Wang
Meng Xiao
VLM
54
3
0
26 Feb 2024
Attribute Prototype Network for Any-Shot Learning
Attribute Prototype Network for Any-Shot Learning
Wenjia Xu
Yongqin Xian
Jiuniu Wang
Bernt Schiele
Zeynep Akata
VLM
31
37
0
04 Apr 2022
PiCO+: Contrastive Label Disambiguation for Robust Partial Label
  Learning
PiCO+: Contrastive Label Disambiguation for Robust Partial Label Learning
Haobo Wang
Rui Xiao
Yixuan Li
Lei Feng
Gang Niu
Gang Chen
J. Zhao
VLM
49
25
0
22 Jan 2022
This Looks Like That, Because ... Explaining Prototypes for
  Interpretable Image Recognition
This Looks Like That, Because ... Explaining Prototypes for Interpretable Image Recognition
Meike Nauta
Annemarie Jutte
Jesper C. Provoost
C. Seifert
FAtt
22
65
0
05 Nov 2020
On Completeness-aware Concept-Based Explanations in Deep Neural Networks
On Completeness-aware Concept-Based Explanations in Deep Neural Networks
Chih-Kuan Yeh
Been Kim
Sercan Ö. Arik
Chun-Liang Li
Tomas Pfister
Pradeep Ravikumar
FAtt
122
297
0
17 Oct 2019
LoRMIkA: Local rule-based model interpretability with k-optimal
  associations
LoRMIkA: Local rule-based model interpretability with k-optimal associations
Dilini Sewwandi Rajapaksha
Christoph Bergmeir
Wray L. Buntine
35
31
0
11 Aug 2019
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