FearNet: Brain-Inspired Model for Incremental Learning

28 November 2017

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

50 / 245 papers shown

Title
Distilling Causal Effect of Data in Class-Incremental Learning Xinting Hu Kaihua Tang C. Miao Xiansheng Hua Hanwang Zhang CML 176 175 0 02 Mar 2021
Understanding Catastrophic Forgetting and Remembering in Continual Learning with Optimal Relevance Mapping Prakhar Kaushik Alex Gain Adam Kortylewski Alan Yuille CLL 11 68 0 22 Feb 2021
Memory-Efficient Semi-Supervised Continual Learning: The World is its Own Replay Buffer James Smith Jonathan C. Balloch Yen-Chang Hsu Z. Kira CLL 129 35 0 23 Jan 2021
EEC: Learning to Encode and Regenerate Images for Continual Learning Ali Ayub Alan R. Wagner CLL 35 59 0 13 Jan 2021
Continual Lifelong Learning in Natural Language Processing: A Survey Magdalena Biesialska Katarzyna Biesialska Marta R. Costa-jussá KELM CLL 16 215 0 17 Dec 2020
Incremental Learning via Rate Reduction Ziyang Wu Christina Baek Chong You Yi-An Ma CLL 14 40 0 30 Nov 2020
A Review of Open-World Learning and Steps Toward Open-World Learning Without Labels Mohsen Jafarzadeh A. Dhamija Steve Cruz Chunchun Li T. Ahmad Terrance E. Boult VLM OffRL 25 9 0 25 Nov 2020
PLOP: Learning without Forgetting for Continual Semantic Segmentation Arthur Douillard Yifu Chen Arnaud Dapogny Matthieu Cord CLL 14 234 0 23 Nov 2020
A Comprehensive Study of Class Incremental Learning Algorithms for Visual Tasks Eden Belouadah Adrian Daniel Popescu Ioannis Kanellos CLL 25 212 0 03 Nov 2020
Class-incremental learning: survey and performance evaluation on image classification Marc Masana Xialei Liu Bartlomiej Twardowski Mikel Menta Andrew D. Bagdanov Joost van de Weijer CLL 23 660 0 28 Oct 2020
Continual learning using hash-routed convolutional neural networks A. Berjaoui BDL CLL 6 0 0 09 Oct 2020
Remembering for the Right Reasons: Explanations Reduce Catastrophic Forgetting Sayna Ebrahimi Suzanne Petryk Akash Gokul William Gan Joseph E. Gonzalez Marcus Rohrbach Trevor Darrell CLL 29 45 0 04 Oct 2020
Beneficial Perturbation Network for designing general adaptive artificial intelligence systems Shixian Wen A. Rios Yunhao Ge Laurent Itti OOD AAML 16 18 0 27 Sep 2020
The Next Big Thing(s) in Unsupervised Machine Learning: Five Lessons from Infant Learning L. Zaadnoordijk Tarek R. Besold R. Cusack SSL DRL 9 3 0 17 Sep 2020
3D_DEN: Open-ended 3D Object Recognition using Dynamically Expandable Networks Sudhakaran Jain H. Kasaei 3DPC 6 4 0 15 Sep 2020
Meta-Learning with Sparse Experience Replay for Lifelong Language Learning Nithin Holla Pushkar Mishra H. Yannakoudakis Ekaterina Shutova KELM CLL 8 21 0 10 Sep 2020
Imbalanced Continual Learning with Partitioning Reservoir Sampling C. Kim Jinseo Jeong Gunhee Kim CLL 19 101 0 08 Sep 2020
Compression-aware Continual Learning using Singular Value Decomposition Varigonda Pavan Teja Priyadarshini Panda CLL 11 4 0 03 Sep 2020
A Wholistic View of Continual Learning with Deep Neural Networks: Forgotten Lessons and the Bridge to Active and Open World Learning Martin Mundt Yongjun Hong Iuliia Pliushch Visvanathan Ramesh CLL 24 146 0 03 Sep 2020
Towards Class-incremental Object Detection with Nearest Mean of Exemplars Sheng Ren Yan He N. Xiong Kehua Guo CLL 6 1 0 19 Aug 2020
RODEO: Replay for Online Object Detection Manoj Acharya Tyler L. Hayes Christopher Kanan ObjD CLL 29 46 0 14 Aug 2020
Memory Efficient Class-Incremental Learning for Image Classification Hanbin Zhao Haibo Wang Yongjian Fu Fei Wu Xi Li CLL VLM 17 72 0 04 Aug 2020
A Biologically Plausible Audio-Visual Integration Model for Continual Learning Wenjie Chen Fengtong Du Ye Wang Lihong Cao CLL 26 0 0 17 Jul 2020
Graph-Based Continual Learning Binh Tang David S. Matteson BDL CLL 29 36 0 09 Jul 2020
Wandering Within a World: Online Contextualized Few-Shot Learning Mengye Ren Michael L. Iuzzolino Michael C. Mozer R. Zemel CLL 25 32 0 09 Jul 2020
RSAC: Regularized Subspace Approximation Classifier for Lightweight Continuous Learning Chih-Hsing Ho Shang-Ho S. Tsai CLL 16 0 0 03 Jul 2020
Continual Learning: Tackling Catastrophic Forgetting in Deep Neural Networks with Replay Processes Timothée Lesort CLL 13 22 0 01 Jul 2020
MgSvF: Multi-Grained Slow vs. Fast Framework for Few-Shot Class-Incremental Learning Hanbin Zhao Yongjian Fu Mintong Kang Qi Tian Fei Wu Xi Li CLL 23 98 0 28 Jun 2020
Storing Encoded Episodes as Concepts for Continual Learning Ali Ayub Alan R. Wagner CLL 14 13 0 26 Jun 2020
OvA-INN: Continual Learning with Invertible Neural Networks Guillaume Hocquet O. Bichler D. Querlioz BDL CLL 8 12 0 24 Jun 2020
Insights from the Future for Continual Learning Arthur Douillard Eduardo Valle Charles Ollion Thomas Robert Matthieu Cord VLM CLL 17 11 0 24 Jun 2020
Automatic Recall Machines: Internal Replay, Continual Learning and the Brain Xu Ji Joao Henriques Tinne Tuytelaars Andrea Vedaldi KELM 17 10 0 22 Jun 2020
Continual Learning in Recurrent Neural Networks Benjamin Ehret Christian Henning Maria R. Cervera Alexander Meulemans J. Oswald Benjamin Grewe CLL 26 9 0 22 Jun 2020
CPR: Classifier-Projection Regularization for Continual Learning Sungmin Cha Hsiang Hsu Taebaek Hwang Flavio du Pin Calmon Taesup Moon CLL 19 74 0 12 Jun 2020
Unifying Regularisation Methods for Continual Learning Frederik Benzing CLL 10 8 0 11 Jun 2020
Do We Need Fully Connected Output Layers in Convolutional Networks? Zhongchao Qian Tyler L. Hayes Kushal Kafle Christopher Kanan 4 8 0 28 Apr 2020
PODNet: Pooled Outputs Distillation for Small-Tasks Incremental Learning Arthur Douillard Matthieu Cord Charles Ollion Thomas Robert Eduardo Valle CLL 4 6 0 28 Apr 2020
CatNet: Class Incremental 3D ConvNets for Lifelong Egocentric Gesture Recognition Zhengwei Wang Qi She Tejo Chalasani A. Smolic 3DPC SLR 14 15 0 20 Apr 2020
Generative Feature Replay For Class-Incremental Learning Xialei Liu Chenshen Wu Mikel Menta Luis Herranz Bogdan Raducanu Andrew D. Bagdanov Shangling Jui Joost van de Weijer CLL 23 145 0 20 Apr 2020
Memory-Efficient Incremental Learning Through Feature Adaptation Ahmet Iscen Jeffrey O. Zhang Svetlana Lazebnik Cordelia Schmid CLL VLM 11 157 0 01 Apr 2020
SS-IL: Separated Softmax for Incremental Learning Hongjoon Ahn Jihwan Kwak S. Lim Hyeonsu Bang Hyojun Kim Taesup Moon CLL 14 175 0 31 Mar 2020
Continual Learning with Node-Importance based Adaptive Group Sparse Regularization Sangwon Jung Hongjoon Ahn Sungmin Cha Taesup Moon CLL 12 119 0 30 Mar 2020
Adversarial Continual Learning Sayna Ebrahimi Franziska Meier Roberto Calandra Trevor Darrell Marcus Rohrbach CLL VLM 152 198 0 21 Mar 2020
Online Continual Learning on Sequences G. I. Parisi Vincenzo Lomonaco CLL 11 25 0 20 Mar 2020
XtarNet: Learning to Extract Task-Adaptive Representation for Incremental Few-Shot Learning Sung Whan Yoon Do-Yeon Kim Jun Seo Jaekyun Moon CLL 178 46 0 19 Mar 2020
Triple Memory Networks: a Brain-Inspired Method for Continual Learning Liyuan Wang Bo Lei Qian Li Hang Su Jun Zhu Yi Zhong AAML 20 42 0 06 Mar 2020
Cognitively-Inspired Model for Incremental Learning Using a Few Examples Ali Ayub Alan Wagner CLL 7 3 0 27 Feb 2020
ScaIL: Classifier Weights Scaling for Class Incremental Learning Eden Belouadah Adrian Daniel Popescu CLL 22 78 0 16 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
GRIm-RePR: Prioritising Generating Important Features for Pseudo-Rehearsal C. Atkinson B. McCane Lech Szymanski Anthony Robins 11 0 0 27 Nov 2019