Interpretable Concept-based Prototypical Networks for Few-Shot Learning

27 February 2022

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

11 / 11 papers shown

Title
Interpretable Few-shot Learning with Online Attribute Selection M. Zarei Majid Komeili FAtt 78 1 0 16 Nov 2022
Relational Embedding for Few-Shot Classification Dahyun Kang Heeseung Kwon Juhong Min Minsu Cho 69 186 0 22 Aug 2021
A Closer Look at Few-shot Classification Wei-Yu Chen Yen-Cheng Liu Z. Kira Y. Wang Jia-Bin Huang 101 1,761 0 08 Apr 2019
Meta-Learning with Differentiable Convex Optimization Kwonjoon Lee Subhransu Maji Avinash Ravichandran Stefano Soatto 91 1,267 0 07 Apr 2019
How to train your MAML Antreas Antoniou Harrison Edwards Amos Storkey 65 774 0 22 Oct 2018
Meta-Learning with Latent Embedding Optimization Andrei A. Rusu Dushyant Rao Jakub Sygnowski Oriol Vinyals Razvan Pascanu Simon Osindero R. Hadsell 132 1,370 0 16 Jul 2018
Learning to Compare: Relation Network for Few-Shot Learning Flood Sung Yongxin Yang Li Zhang Tao Xiang Philip Torr Timothy M. Hospedales 248 4,042 0 16 Nov 2017
Prototypical Networks for Few-shot Learning Jake C. Snell Kevin Swersky R. Zemel 265 8,114 0 15 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 803 11,866 0 09 Mar 2017
Matching Networks for One Shot Learning Oriol Vinyals Charles Blundell Timothy Lillicrap Koray Kavukcuoglu Daan Wierstra VLM 331 7,313 0 13 Jun 2016
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 409 43,234 0 11 Feb 2015