FearNet: Brain-Inspired Model for Incremental Learning

28 November 2017

Papers citing "FearNet: Brain-Inspired Model for Incremental Learning"

46 / 246 papers shown

Title
GRIm-RePR: Prioritising Generating Important Features for Pseudo-Rehearsal C. Atkinson B. McCane Lech Szymanski Anthony Robins 22 0 0 27 Nov 2019
Continual Learning with Adaptive Weights (CLAW) T. Adel Han Zhao Richard Turner CLL 24 73 0 21 Nov 2019
Are Out-of-Distribution Detection Methods Effective on Large-Scale Datasets? Ryne Roady Tyler L. Hayes Ronald Kemker Ayesha Gonzales Christopher Kanan OODD 36 20 0 30 Oct 2019
Compacting, Picking and Growing for Unforgetting Continual Learning Steven C. Y. Hung Cheng-Hao Tu Cheng-En Wu Chien-Hung Chen Yi-Ming Chan Chu-Song Chen CLL 38 301 0 15 Oct 2019
Learning to Remember from a Multi-Task Teacher Yuwen Xiong Mengye Ren R. Urtasun CLL KELM OOD 30 4 0 10 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
LAMOL: LAnguage MOdeling for Lifelong Language Learning Fan-Keng Sun Cheng-Hao Ho Hung-yi Lee CLL KELM 26 205 0 07 Sep 2019
Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis Tyler L. Hayes Christopher Kanan CLL 27 141 0 04 Sep 2019
Continual Learning by Asymmetric Loss Approximation with Single-Side Overestimation Dongmin Park Seokil Hong Bohyung Han Kyoung Mu Lee AAML CLL 24 39 0 08 Aug 2019
Biologically inspired sleep algorithm for artificial neural networks G. Krishnan Timothy Tadros Ramyaa Ramyaa M. Bazhenov 19 18 0 01 Aug 2019
Autoencoder-Based Incremental Class Learning without Retraining on Old Data Euntae Choi Kyungmi Lee Kiyoung Choi CLL 26 13 0 18 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 19 248 0 29 Jun 2019
Continual Rare-Class Recognition with Emerging Novel Subclasses Hung T. Nguyen Xuejian Wang Leman Akoglu 25 3 0 28 Jun 2019
Beneficial perturbation network for continual learning Shixian Wen Laurent Itti CLL KELM 24 2 0 22 Jun 2019
An Adaptive Random Path Selection Approach for Incremental Learning Jathushan Rajasegaran Munawar Hayat Salman Khan Fahad Shahbaz Khan Ling Shao Ming-Hsuan Yang ODL CLL 17 24 0 03 Jun 2019
Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition Martin Mundt Iuliia Pliushch Sagnik Majumder Yongwon Hong Visvanathan Ramesh UQCV BDL 27 40 0 28 May 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 23 23 0 26 May 2019
Variational Prototype Replays for Continual Learning Mengmi Zhang Tao Wang J. Lim Gabriel Kreiman Jiashi Feng VLM CLL 19 15 0 23 May 2019
A comprehensive, application-oriented study of catastrophic forgetting in DNNs Benedikt Pfülb A. Gepperth 17 90 0 20 May 2019
Locally Weighted Regression Pseudo-Rehearsal for Online Learning of Vehicle Dynamics Grady Williams Brian Goldfain James M. Rehg Evangelos A. Theodorou 18 12 0 13 May 2019
Bayesian Optimized Continual Learning with Attention Mechanism Ju Xu Jin Ma Zhanxing Zhu CLL BDL 11 6 0 10 May 2019
Three scenarios for continual learning Gido M. van de Ven A. Tolias CLL 38 873 0 15 Apr 2019
Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning O. Ostapenko M. Puscas T. Klein P. Jähnichen Moin Nabi CLL 60 297 0 05 Apr 2019
Class-incremental Learning via Deep Model Consolidation Junting Zhang Jie Zhang Shalini Ghosh Dawei Li Serafettin Tasci Larry Heck Heming Zhang C.-C. Jay Kuo CLL 27 335 0 19 Mar 2019
Incremental Learning with Maximum Entropy Regularization: Rethinking Forgetting and Intransigence Dahyun Kim Jihwan Bae Yeonsik Jo Jonghyun Choi OOD CLL 36 20 0 03 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
On the role of neurogenesis in overcoming catastrophic forgetting G. I. Parisi Jongsoo Keum Hojung Nam CLL OffRL 24 13 0 06 Nov 2018
Closed-Loop Memory GAN for Continual Learning A. Rios Laurent Itti BDL VLM 24 22 0 03 Nov 2018
Re-evaluating Continual Learning Scenarios: A Categorization and Case for Strong Baselines Yen-Chang Hsu Yen-Cheng Liu Anita Ramasamy Z. Kira CLL ELM 24 351 0 30 Oct 2018
Marginal Replay vs Conditional Replay for Continual Learning Timothée Lesort A. Gepperth Andrei Stoian David Filliat BDL 35 34 0 29 Oct 2018
Incremental Few-Shot Learning with Attention Attractor Networks Mengye Ren Renjie Liao Ethan Fetaya R. Zemel CLL 30 181 0 16 Oct 2018
Reinforcement Evolutionary Learning Method for self-learning Kumarjit Pathak Jitin Kapila 14 3 0 07 Oct 2018
Generative replay with feedback connections as a general strategy for continual learning Gido M. van de Ven A. Tolias CLL KELM 40 224 0 27 Sep 2018
Distribution Networks for Open Set Learning Chengsheng Mao Liang Yao Yuan Luo OOD 39 2 0 20 Sep 2018
Memory Efficient Experience Replay for Streaming Learning Tyler L. Hayes N. Cahill Christopher Kanan 15 228 0 16 Sep 2018
Memory Replay GANs: learning to generate images from new categories without forgetting Chenshen Wu Luis Herranz Xialei Liu Yaxing Wang Joost van de Weijer Bogdan Raducanu CLL VLM GAN 19 193 0 06 Sep 2018
Revisiting Distillation and Incremental Classifier Learning Khurram Javed Faisal Shafait 13 66 0 08 Jul 2018
Distillation Techniques for Pseudo-rehearsal Based Incremental Learning Haseeb Shah Khurram Javed Faisal Shafait CLL 21 12 0 08 Jul 2018
Continuous Learning in Single-Incremental-Task Scenarios Davide Maltoni Vincenzo Lomonaco CLL 38 307 0 22 Jun 2018
Meta Continual Learning Risto Vuorio D.-Y. Cho Daejoong Kim Jiwon Kim CLL 11 28 0 11 Jun 2018
Lifelong Learning of Spatiotemporal Representations with Dual-Memory Recurrent Self-Organization G. I. Parisi Jun Tani C. Weber S. Wermter CLL 21 130 0 28 May 2018
Self-Net: Lifelong Learning via Continual Self-Modeling Blake Camp J. Mandivarapu Rolando Estrada CLL SSL 27 16 0 25 May 2018
Incremental Learning Framework Using Cloud Computing Kumarjit Pathak G. Prabhukiran Jitin Kapila Nikit Gawande 11 2 0 12 May 2018
Continual Lifelong Learning with Neural Networks: A Review G. I. Parisi Ronald Kemker Jose L. Part Christopher Kanan S. Wermter KELM CLL 53 2,837 0 21 Feb 2018
Pseudo-Recursal: Solving the Catastrophic Forgetting Problem in Deep Neural Networks C. Atkinson B. McCane Lech Szymanski Anthony Robins CLL 13 76 0 12 Feb 2018