Continual Lifelong Learning with Neural Networks: A Review

21 February 2018

Papers citing "Continual Lifelong Learning with Neural Networks: A Review"

25 / 475 papers shown

Title
Neural Architecture Search for Class-incremental Learning Shenyang Huang Vincent François-Lavet Guillaume Rabusseau CLL 31 16 0 14 Sep 2019
Efficient Continual Learning in Neural Networks with Embedding Regularization Jary Pomponi Simone Scardapane Vincenzo Lomonaco A. Uncini CLL 36 41 0 09 Sep 2019
TabNet: Attentive Interpretable Tabular Learning Sercan Ö. Arik Tomas Pfister LMTD 55 1,293 0 20 Aug 2019
Iterative Update and Unified Representation for Multi-Agent Reinforcement Learning Jiancheng Long Hongming Zhang Tianyang Yu Bo Xu 18 0 0 16 Aug 2019
Visualizing the PHATE of Neural Networks Scott A. Gigante Adam S. Charles Smita Krishnaswamy Gal Mishne 36 37 0 07 Aug 2019
One Shot Learning for Deformable Medical Image Registration and Periodic Motion Tracking T. Fechter D. Baltas 23 78 0 10 Jul 2019
Rehearsal-Free Continual Learning over Small Non-I.I.D. Batches Vincenzo Lomonaco Davide Maltoni Lorenzo Pellegrini CLL VLM 34 67 0 08 Jul 2019
Continual Learning for Robotics: Definition, Framework, Learning Strategies, Opportunities and Challenges Timothée Lesort Vincenzo Lomonaco Andrei Stoian Davide Maltoni David Filliat Natalia Díaz Rodríguez CLL 24 248 0 29 Jun 2019
Weight Agnostic Neural Networks Adam Gaier David R Ha OOD 38 239 0 11 Jun 2019
Continual Learning of New Sound Classes using Generative Replay Zhepei Wang Y. C. Sübakan Efthymios Tzinis Paris Smaragdis Laurent Charlin VLM 27 23 0 03 Jun 2019
Uncertainty-based Continual Learning with Adaptive Regularization Hongjoon Ahn Sungmin Cha Donggyu Lee Taesup Moon BDL 24 209 0 28 May 2019
Sequential mastery of multiple visual tasks: Networks naturally learn to learn and forget to forget Guy Davidson Michael C. Mozer CLL 26 23 0 26 May 2019
Meta-learning of Sequential Strategies Pedro A. Ortega Jane X. Wang Mark Rowland Tim Genewein Z. Kurth-Nelson ... Yee Whye Teh H. V. Hasselt Nando de Freitas M. Botvinick Shane Legg OffRL 27 97 0 08 May 2019
Answer Them All! Toward Universal Visual Question Answering Models Robik Shrestha Kushal Kafle Christopher Kanan 25 82 0 01 Mar 2019
Deep learning in bioinformatics: introduction, application, and perspective in big data era Yu Li Chao Huang Lizhong Ding Zhongxiao Li Yijie Pan Xin Gao AI4CE 29 295 0 28 Feb 2019
Deep Multi-modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges Di Feng Christian Haase-Schuetz Lars Rosenbaum Heinz Hertlein Claudius Gläser Fabian Duffhauss W. Wiesbeck Klaus C. J. Dietmayer 3DPC 41 989 0 21 Feb 2019
Pseudo-Rehearsal: Achieving Deep Reinforcement Learning without Catastrophic Forgetting C. Atkinson B. McCane Lech Szymanski Anthony Robins VLM CLL 13 102 0 06 Dec 2018
Concept-Oriented Deep Learning: Generative Concept Representations Daniel T. Chang DRL GAN BDL 36 12 0 15 Nov 2018
Closed-Loop Memory GAN for Continual Learning A. Rios Laurent Itti BDL VLM 24 22 0 03 Nov 2018
Continual Learning of Context-dependent Processing in Neural Networks Guanxiong Zeng Yang Chen Bo Cui Shan Yu CLL 33 296 0 29 Sep 2018
DynMat, a network that can learn after learning J. H. Lee OffRL 24 5 0 16 Jun 2018
Self-Net: Lifelong Learning via Continual Self-Modeling Blake Camp J. Mandivarapu Rolando Estrada CLL SSL 27 16 0 25 May 2018
Towards Robust Evaluations of Continual Learning Sebastian Farquhar Y. Gal CLL 28 305 0 24 May 2018
Online Learning: A Comprehensive Survey Guosheng Lin Doyen Sahoo Jing Lu P. Zhao OffRL 31 634 0 08 Feb 2018
A Survey on Multi-Task Learning Yu Zhang Qiang Yang AIMat 80 2,173 0 25 Jul 2017