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Interpretable Concept-based Prototypical Networks for Few-Shot Learning

Interpretable Concept-based Prototypical Networks for Few-Shot Learning

27 February 2022
M. Zarei
Majid Komeili
ArXivPDFHTML

Papers citing "Interpretable Concept-based Prototypical Networks for Few-Shot Learning"

5 / 5 papers shown
Title
Focal Modulation Networks for Interpretable Sound Classification
Focal Modulation Networks for Interpretable Sound Classification
Luca Della Libera
Cem Subakan
Mirco Ravanelli
36
2
0
05 Feb 2024
Predicting Thermoelectric Power Factor of Bismuth Telluride During Laser
  Powder Bed Fusion Additive Manufacturing
Predicting Thermoelectric Power Factor of Bismuth Telluride During Laser Powder Bed Fusion Additive Manufacturing
Ankita Agarwal
Tanvi Banerjee
Joy E. Gockel
S. LeBlanc
Joseph Walker
J. Middendorf
AI4CE
6
1
0
28 Mar 2023
Interpretable Few-shot Learning with Online Attribute Selection
Interpretable Few-shot Learning with Online Attribute Selection
M. Zarei
Majid Komeili
FAtt
41
1
0
16 Nov 2022
Towards Interpretable Deep Reinforcement Learning Models via Inverse
  Reinforcement Learning
Towards Interpretable Deep Reinforcement Learning Models via Inverse Reinforcement Learning
Yuansheng Xie
Soroush Vosoughi
Saeed Hassanpour
29
2
0
30 Mar 2022
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
517
11,727
0
09 Mar 2017
1