Continual Lifelong Learning with Neural Networks: A Review

21 February 2018

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

40 / 440 papers shown

Title
Anomaly Detection in Video Data Based on Probabilistic Latent Space Models Giulia Slavic Damian Campo Mohamad Baydoun P. Marín David Martín L. Marcenaro C. Regazzoni DRL 27 13 0 17 Mar 2020
Hierarchical Models: Intrinsic Separability in High Dimensions Wen-Yan Lin 19 0 0 15 Mar 2020
Two Decades of AI4NETS-AI/ML for Data Networks: Challenges & Research Directions P. Casas GNN 19 8 0 03 Mar 2020
Continual Learning for Domain Adaptation in Chest X-ray Classification Matthias Lenga H. Schulz A. Saalbach OOD 8 61 0 16 Jan 2020
ScaIL: Classifier Weights Scaling for Class Incremental Learning Eden Belouadah Adrian Daniel Popescu CLL 22 78 0 16 Jan 2020
Learning credit assignment Chan Li Haiping Huang 18 7 0 10 Jan 2020
Intrinsic Motivation and Episodic Memories for Robot Exploration of High-Dimensional Sensory Spaces G. Schillaci Antonio Pico Villalpando Verena V. Hafner P. Hanappe David Colliaux T. Wintz 22 27 0 07 Jan 2020
Frosting Weights for Better Continual Training Xiaofeng Zhu Feng Liu Goce Trajcevski Dingding Wang FedML AI4CE CLL 28 5 0 07 Jan 2020
Human Action Recognition and Assessment via Deep Neural Network Self-Organization G. I. Parisi 24 8 0 04 Jan 2020
A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning Soochan Lee Junsoo Ha Dongsu Zhang Gunhee Kim BDL CLL 16 209 0 03 Jan 2020
Latent Replay for Real-Time Continual Learning Lorenzo Pellegrini G. Graffieti Vincenzo Lomonaco Davide Maltoni CLL 28 163 0 02 Dec 2019
AdaFilter: Adaptive Filter Fine-tuning for Deep Transfer Learning Yunhui Guo Yandong Li Liqiang Wang Tajana Simunic 35 41 0 21 Nov 2019
OpenLORIS-Object: A Robotic Vision Dataset and Benchmark for Lifelong Deep Learning Qi She Fan Feng Xinyue Hao Qihan Yang Chuanlin Lan ... Zhengwei Wang Yao Guo Yimin Zhang Fei Qiao Rosa H. M. Chan VLM 38 75 0 15 Nov 2019
Knowledge Distillation for Incremental Learning in Semantic Segmentation Umberto Michieli Pietro Zanuttigh CLL VLM 28 98 0 08 Nov 2019
Continual Learning Using Bayesian Neural Networks Honglin Li Payam Barnaghi Shirin Enshaeifar F. Ganz BDL 19 38 0 09 Oct 2019
REMIND Your Neural Network to Prevent Catastrophic Forgetting Tyler L. Hayes Kushal Kafle Robik Shrestha Manoj Acharya Christopher Kanan CLL 31 295 0 06 Oct 2019
FoodAI: Food Image Recognition via Deep Learning for Smart Food Logging Doyen Sahoo Hao Wang Shu Ke Xiongwei Wu Hung Le Palakorn Achananuparp Ee-Peng Lim Guosheng Lin 21 86 0 26 Sep 2019
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 1,289 0 20 Aug 2019
Iterative Update and Unified Representation for Multi-Agent Reinforcement Learning Jiancheng Long Hongming Zhang Tianyang Yu Bo Xu 15 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 31 67 0 08 Jul 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 21 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 20 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 96 0 08 May 2019
Answer Them All! Toward Universal Visual Question Answering Models Robik Shrestha Kushal Kafle Christopher Kanan 22 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 24 295 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 41 988 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
Continual Learning of Context-dependent Processing in Neural Networks Guanxiong Zeng Yang Chen Bo Cui Shan Yu CLL 27 295 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 29 633 0 08 Feb 2018
A Survey on Multi-Task Learning Yu Zhang Qiang Yang AIMat 14 2,168 0 25 Jul 2017