Online Continual Learning via the Meta-learning Update with Multi-scale Knowledge Distillation and Data Augmentation

12 September 2022

Papers citing "Online Continual Learning via the Meta-learning Update with Multi-scale Knowledge Distillation and Data Augmentation"

49 / 49 papers shown

Title
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 239 30,108 0 01 Mar 2022
Self-Supervised Video Representation Learning with Meta-Contrastive Network Yuanze Lin Xun Guo Yan Lu SSL 54 41 0 19 Aug 2021
Rainbow Memory: Continual Learning with a Memory of Diverse Samples Jihwan Bang Heesu Kim Y. Yoo Jung-Woo Ha Jonghyun Choi CLL 74 331 0 31 Mar 2021
PLOP: Learning without Forgetting for Continual Semantic Segmentation Arthur Douillard Yifu Chen Arnaud Dapogny Matthieu Cord CLL 44 239 0 23 Nov 2020
Bilevel Continual Learning Quang Pham Doyen Sahoo Chenghao Liu Guosheng Lin CLL 47 11 0 30 Jul 2020
La-MAML: Look-ahead Meta Learning for Continual Learning Gunshi Gupta Karmesh Yadav Liam Paull CLL VLM 66 69 0 27 Jul 2020
Incremental Training of a Recurrent Neural Network Exploiting a Multi-Scale Dynamic Memory Antonio Carta A. Sperduti D. Bacciu CLL 44 10 0 29 Jun 2020
Adaptive feature recombination and recalibration for semantic segmentation with Fully Convolutional Networks Sérgio Pereira Adriano Pinto Joana Amorim Alexandrine Ribeiro Victor Alves Carlos Alberto Silva 71 63 0 19 Jun 2020
Dark Experience for General Continual Learning: a Strong, Simple Baseline Pietro Buzzega Matteo Boschini Angelo Porrello Davide Abati Simone Calderara BDL CLL 72 909 0 15 Apr 2020
iTAML: An Incremental Task-Agnostic Meta-learning Approach Jathushan Rajasegaran Salman Khan Munawar Hayat Fahad Shahbaz Khan M. Shah CLL OOD 117 155 0 25 Mar 2020
Adversarial Continual Learning Sayna Ebrahimi Franziska Meier Roberto Calandra Trevor Darrell Marcus Rohrbach CLL VLM 195 200 0 21 Mar 2020
Reducing Catastrophic Forgetting in Modular Neural Networks by Dynamic Information Balancing Mohammed Amer Tomás Maul 34 6 0 10 Dec 2019
Maintaining Discrimination and Fairness in Class Incremental Learning Bowen Zhao Xi Xiao Guojun Gan Bin Zhang Shutao Xia CLL 111 425 0 16 Nov 2019
Efficient Continual Learning in Neural Networks with Embedding Regularization Jary Pomponi Simone Scardapane Vincenzo Lomonaco A. Uncini CLL 64 42 0 09 Sep 2019
Large Scale Incremental Learning Yue Wu Yinpeng Chen Lijuan Wang Yuancheng Ye Zicheng Liu Yandong Guo Y. Fu CLL 89 1,249 0 30 May 2019
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features Sangdoo Yun Dongyoon Han Seong Joon Oh Sanghyuk Chun Junsuk Choe Y. Yoo OOD 604 4,766 0 13 May 2019
Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning O. Ostapenko M. Puscas T. Klein P. Jähnichen Moin Nabi CLL 149 301 0 05 Apr 2019
M2KD: Multi-model and Multi-level Knowledge Distillation for Incremental Learning Peng Zhou Long Mai Jianming Zhang N. Xu Zuxuan Wu L. Davis CLL VLM 57 55 0 03 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 55 338 0 19 Mar 2019
On Tiny Episodic Memories in Continual Learning Arslan Chaudhry Marcus Rohrbach Mohamed Elhoseiny Thalaiyasingam Ajanthan P. Dokania Philip Torr MarcÁurelio Ranzato CLL 82 397 0 27 Feb 2019
Incremental Learning with Maximum Entropy Regularization: Rethinking Forgetting and Intransigence Dahyun Kim Jihwan Bae Yeonsik Jo Jonghyun Choi OOD CLL 58 20 0 03 Feb 2019
Efficient Lifelong Learning with A-GEM Arslan Chaudhry MarcÁurelio Ranzato Marcus Rohrbach Mohamed Elhoseiny CLL 188 1,449 0 02 Dec 2018
Learning to Learn without Forgetting by Maximizing Transfer and Minimizing Interference Matthew D Riemer Ignacio Cases R. Ajemian Miao Liu Irina Rish Y. Tu Gerald Tesauro CLL 72 782 0 29 Oct 2018
Meta-Learning: A Survey Joaquin Vanschoren FedML OOD 60 763 0 08 Oct 2018
Continuous Learning in Single-Incremental-Task Scenarios Davide Maltoni Vincenzo Lomonaco CLL 86 307 0 22 Jun 2018
Progress & Compress: A scalable framework for continual learning Jonathan Richard Schwarz Jelena Luketina Wojciech M. Czarnecki A. Grabska-Barwinska Yee Whye Teh Razvan Pascanu R. Hadsell CLL 108 886 0 16 May 2018
Fully Convolutional Adaptation Networks for Semantic Segmentation Yiheng Zhang Zhaofan Qiu Ting Yao Dong Liu Tao Mei SSeg OOD 209 351 0 23 Apr 2018
On First-Order Meta-Learning Algorithms Alex Nichol Joshua Achiam John Schulman 221 2,229 0 08 Mar 2018
Continual Lifelong Learning with Neural Networks: A Review G. I. Parisi Ronald Kemker Jose L. Part Christopher Kanan S. Wermter KELM CLL 165 2,879 0 21 Feb 2018
Tree-CNN: A Hierarchical Deep Convolutional Neural Network for Incremental Learning Deboleena Roy Priyadarshini Panda Kaushik Roy BDL OOD CLL 71 213 0 15 Feb 2018
Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence Arslan Chaudhry P. Dokania Thalaiyasingam Ajanthan Philip Torr CLL 89 1,137 0 30 Jan 2018
Measuring Catastrophic Forgetting in Neural Networks Ronald Kemker Marc McClure Angelina Abitino Tyler L. Hayes Christopher Kanan CLL 105 717 0 07 Aug 2017
Lifelong Learning with Dynamically Expandable Networks Jaehong Yoon Eunho Yang Jeongtae Lee Sung Ju Hwang CLL 109 1,220 0 04 Aug 2017
Gradient Episodic Memory for Continual Learning David Lopez-Paz MarcÁurelio Ranzato VLM CLL 108 2,705 0 26 Jun 2017
Continual Learning with Deep Generative Replay Hanul Shin Jung Kwon Lee Jaehong Kim Jiwon Kim KELM CLL 76 2,062 0 24 May 2017
Inception Recurrent Convolutional Neural Network for Object Recognition Md. Zahangir Alom Mahmudul Hasan C. Yakopcic T. Taha 55 87 0 25 Apr 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 330 7,478 0 02 Dec 2016
iCaRL: Incremental Classifier and Representation Learning Sylvestre-Alvise Rebuffi Alexander Kolesnikov G. Sperl Christoph H. Lampert CLL OOD 129 3,741 0 23 Nov 2016
Expert Gate: Lifelong Learning with a Network of Experts Rahaf Aljundi Punarjay Chakravarty Tinne Tuytelaars CLL 75 660 0 18 Nov 2016
Learning without Forgetting Zhizhong Li Derek Hoiem CLL OOD SSL 282 4,391 0 29 Jun 2016
Progressive Neural Networks Andrei A. Rusu Neil C. Rabinowitz Guillaume Desjardins Hubert Soyer J. Kirkpatrick Koray Kavukcuoglu Razvan Pascanu R. Hadsell CLL AI4CE 77 2,442 0 15 Jun 2016
Fully Convolutional Networks for Semantic Segmentation Evan Shelhamer Jonathan Long Trevor Darrell VOS SSeg 649 37,806 0 20 May 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.1K 193,426 0 10 Dec 2015
Fast R-CNN Ross B. Girshick ObjD 290 25,033 0 30 Apr 2015
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 320 19,609 0 09 Mar 2015
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun ObjD 367 11,199 0 18 Jun 2014
An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks Ian Goodfellow M. Berk Mirza Xia Da Aaron Courville Yoshua Bengio 137 1,439 0 21 Dec 2013
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 426 16,944 0 20 Dec 2013
Representation Learning: A Review and New Perspectives Yoshua Bengio Aaron Courville Pascal Vincent OOD SSL 239 12,422 0 24 Jun 2012