Learning from Few Examples: A Summary of Approaches to Few-Shot Learning

7 March 2022

Papers citing "Learning from Few Examples: A Summary of Approaches to Few-Shot Learning"

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Title
Memory-Based Label-Text Tuning for Few-Shot Class-Incremental Learning Jinze Li Yan Bai Yihang Lou Xiongkun Linghu Jianzhong He Shaoyun Xu Tao Bai VLM CLL 33 2 0 03 Jul 2022
Privacy Enhancement for Cloud-Based Few-Shot Learning Archit Parnami Muhammad Usama Liyue Fan Minwoo Lee 22 1 0 10 May 2022
Recent Few-Shot Object Detection Algorithms: A Survey with Performance Comparison Tianying Liu Lu Zhang Yang Wang Jihong Guan Yanwei Fu Jiajia Zhao Shuigeng Zhou ObjD AAML 18 27 0 27 Mar 2022
Few-Shot Keyword Spotting With Prototypical Networks Archit Parnami Minwoo Lee 21 32 0 25 Jul 2020
Cross Attention Network for Few-shot Classification Rui Hou Hong Chang Bingpeng Ma Shiguang Shan Xilin Chen 204 631 0 17 Oct 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 371 11,700 0 09 Mar 2017
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,746 0 26 Sep 2016