Looking back to lower-level information in few-shot learning

27 May 2020

Papers citing "Looking back to lower-level information in few-shot learning"

11 / 11 papers shown

Title
ActiveLLM: Large Language Model-based Active Learning for Textual Few-Shot Scenarios Markus Bayer Justin Lutz Christian A. Reuter 90 7 0 17 May 2024
Edge-labeling Graph Neural Network for Few-shot Learning Jongmin Kim Taesup Kim Sungwoong Kim Chang D. Yoo 56 455 0 04 May 2019
Generalizing from a Few Examples: A Survey on Few-Shot Learning Yaqing Wang Quanming Yao James T. Kwok L. Ni 68 1,802 0 10 Apr 2019
Dense Classification and Implanting for Few-Shot Learning Yann Lifchitz Yannis Avrithis Sylvaine Picard Andrei Bursuc VLM 39 197 0 12 Mar 2019
Adaptive Cross-Modal Few-Shot Learning Chen Xing Negar Rostamzadeh Boris N. Oreshkin Pedro H. O. Pinheiro 118 272 0 19 Feb 2019
Dynamic Few-Shot Visual Learning without Forgetting Spyros Gidaris N. Komodakis VLM 30 1,125 0 25 Apr 2018
Learning to Compare: Relation Network for Few-Shot Learning Flood Sung Yongxin Yang Li Zhang Tao Xiang Philip Torr Timothy M. Hospedales 183 4,035 0 16 Nov 2017
Few-Shot Learning with Graph Neural Networks Victor Garcia Satorras Joan Bruna GNN 152 1,235 0 10 Nov 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 748 11,793 0 09 Mar 2017
Matching Networks for One Shot Learning Oriol Vinyals Charles Blundell Timothy Lillicrap Koray Kavukcuoglu Daan Wierstra VLM 264 7,286 0 13 Jun 2016
Convolutional Networks on Graphs for Learning Molecular Fingerprints David Duvenaud D. Maclaurin J. Aguilera-Iparraguirre Rafael Gómez-Bombarelli Timothy D. Hirzel Alán Aspuru-Guzik Ryan P. Adams GNN 142 3,337 0 30 Sep 2015