L2AE-D: Learning to Aggregate Embeddings for Few-shot Learning with Meta-level Dropout

8 April 2019

Papers citing "L2AE-D: Learning to Aggregate Embeddings for Few-shot Learning with Meta-level Dropout"

4 / 4 papers shown

Title
CVOCSemRPL: Class-Variance Optimized Clustering, Semantic Information Injection and Restricted Pseudo Labeling based Improved Semi-Supervised Few-Shot Learning Rhythm Baghel Souvik Maji Pratik Mazumder 33 0 0 24 Jan 2025
Probabilistic Model-Agnostic Meta-Learning Chelsea Finn Kelvin Xu Sergey Levine BDL 176 666 0 07 Jun 2018
Learn To Pay Attention Saumya Jetley Nicholas A. Lord Namhoon Lee Philip Torr 67 437 0 06 Apr 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 359 11,684 0 09 Mar 2017