A Survey on Machine Learning from Few Samples

A Survey on Machine Learning from Few Samples

6 September 2020

Papers citing "A Survey on Machine Learning from Few Samples"

11 / 11 papers shown

Title
Deep Learning for Cross-Domain Few-Shot Visual Recognition: A Survey Huali Xu Shuaifeng Zhi Shuzhou Sun Vishal M. Patel Li Liu 27 13 0 15 Mar 2023
Few-Shot Graph Learning for Molecular Property Prediction Zhichun Guo Chuxu Zhang W. Yu John E. Herr Olaf Wiest Meng-Long Jiang Nitesh V. Chawla AI4CE 106 168 0 16 Feb 2021
MatchingGAN: Matching-based Few-shot Image Generation Y. Hong Li Niu Jianfu Zhang Liqing Zhang VLM GAN 43 68 0 07 Mar 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference Timo Schick Hinrich Schütze 258 1,586 0 21 Jan 2020
Bilevel Programming for Hyperparameter Optimization and Meta-Learning Luca Franceschi P. Frasconi Saverio Salzo Riccardo Grazzi Massimiliano Pontil 99 715 0 13 Jun 2018
Delta-encoder: an effective sample synthesis method for few-shot object recognition Eli Schwartz Leonid Karlinsky J. Shtok Sivan Harary Mattias Marder Rogerio Feris Abhishek Kumar Raja Giryes A. Bronstein 181 351 0 12 Jun 2018
Bayesian Model-Agnostic Meta-Learning Taesup Kim Jaesik Yoon Ousmane Amadou Dia Sungwoong Kim Yoshua Bengio Sungjin Ahn UQCV BDL 191 498 0 11 Jun 2018
Probabilistic Model-Agnostic Meta-Learning Chelsea Finn Kelvin Xu Sergey Levine BDL 165 666 0 07 Jun 2018
Boosting Self-Supervised Learning via Knowledge Transfer M. Noroozi Ananth Vinjimoor Paolo Favaro Hamed Pirsiavash SSL 207 292 0 01 May 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 278 11,677 0 09 Mar 2017
Using Deep Learning and Google Street View to Estimate the Demographic Makeup of the US Timnit Gebru J. Krause Yilun Wang Duyun Chen Jia Deng Erez Aiden Lieberman Li Fei-Fei HAI 82 413 0 22 Feb 2017