Few-shot Continual Learning: a Brain-inspired Approach

19 April 2021

Qian Li

Jun Zhu

Papers citing "Few-shot Continual Learning: a Brain-inspired Approach"

26 / 26 papers shown

Title
Few-Shot Class-Incremental Learning Xiaoyu Tao Xiaopeng Hong Xinyuan Chang Songlin Dong Xing Wei Yihong Gong CLL 100 413 0 23 Apr 2020
Defining Benchmarks for Continual Few-Shot Learning Antreas Antoniou Massimiliano Patacchiola Mateusz Ochal Amos Storkey 48 38 0 15 Apr 2020
Cognitively-Inspired Model for Incremental Learning Using a Few Examples Ali Ayub Alan Wagner CLL 52 3 0 27 Feb 2020
Learning to Continually Learn Shawn L. E. Beaulieu Lapo Frati Thomas Miconi Joel Lehman Kenneth O. Stanley Jeff Clune Nick Cheney KELM CLL 93 148 0 21 Feb 2020
Incremental Meta-Learning via Indirect Discriminant Alignment Qing Liu Orchid Majumder Alessandro Achille Avinash Ravichandran Rahul Bhotika Stefano Soatto CLL 46 6 0 11 Feb 2020
Meta-Learning Representations for Continual Learning Khurram Javed Martha White KELM CLL 82 321 0 29 May 2019
Edge-labeling Graph Neural Network for Few-shot Learning Jongmin Kim Taesup Kim Sungwoong Kim Chang D. Yoo 98 457 0 04 May 2019
A Closer Look at Few-shot Classification Wei-Yu Chen Yen-Cheng Liu Z. Kira Y. Wang Jia-Bin Huang 116 1,770 0 08 Apr 2019
Adaptive Posterior Learning: few-shot learning with a surprise-based memory module Tiago Ramalho M. Garnelo BDL 120 77 0 07 Feb 2019
How to train your MAML Antreas Antoniou Harrison Edwards Amos Storkey 74 778 0 22 Oct 2018
Incremental Few-Shot Learning with Attention Attractor Networks Mengye Ren Renjie Liao Ethan Fetaya R. Zemel CLL 106 181 0 16 Oct 2018
End-to-End Incremental Learning F. M. Castro M. Marín-Jiménez Nicolás Guil Mata Cordelia Schmid Alahari Karteek CLL 97 1,160 0 25 Jul 2018
Meta-Learning for Semi-Supervised Few-Shot Classification Mengye Ren Eleni Triantafillou S. S. Ravi Jake C. Snell Kevin Swersky J. Tenenbaum Hugo Larochelle R. Zemel SSL 79 1,285 0 02 Mar 2018
Continual Lifelong Learning with Neural Networks: A Review G. I. Parisi Ronald Kemker Jose L. Part Christopher Kanan S. Wermter KELM CLL 212 2,901 0 21 Feb 2018
Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence Arslan Chaudhry P. Dokania Thalaiyasingam Ajanthan Philip Torr CLL 114 1,145 0 30 Jan 2018
Memory Aware Synapses: Learning what (not) to forget Rahaf Aljundi F. Babiloni Mohamed Elhoseiny Marcus Rohrbach Tinne Tuytelaars KELM CLL 90 1,647 0 27 Nov 2017
Measuring Catastrophic Forgetting in Neural Networks Ronald Kemker Marc McClure Angelina Abitino Tyler L. Hayes Christopher Kanan CLL 127 722 0 07 Aug 2017
CORe50: a New Dataset and Benchmark for Continuous Object Recognition Vincenzo Lomonaco Davide Maltoni 186 494 0 09 May 2017
Improved Training of Wasserstein GANs Ishaan Gulrajani Faruk Ahmed Martín Arjovsky Vincent Dumoulin Aaron Courville GAN 230 9,568 0 31 Mar 2017
Prototypical Networks for Few-shot Learning Jake C. Snell Kevin Swersky R. Zemel 305 8,164 0 15 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 838 11,961 0 09 Mar 2017
Overcoming catastrophic forgetting in neural networks J. Kirkpatrick Razvan Pascanu Neil C. Rabinowitz J. Veness Guillaume Desjardins ... A. Grabska-Barwinska Demis Hassabis Claudia Clopath D. Kumaran R. Hadsell CLL 376 7,587 0 02 Dec 2016
iCaRL: Incremental Classifier and Representation Learning Sylvestre-Alvise Rebuffi Alexander Kolesnikov G. Sperl Christoph H. Lampert CLL OOD 170 3,784 0 23 Nov 2016
Matching Networks for One Shot Learning Oriol Vinyals Charles Blundell Timothy Lillicrap Koray Kavukcuoglu Daan Wierstra VLM 380 7,343 0 13 Jun 2016
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks Alec Radford Luke Metz Soumith Chintala GAN OOD 312 14,032 0 19 Nov 2015
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.7K 39,637 0 01 Sep 2014