Ex-Model: Continual Learning from a Stream of Trained Models

Ex-Model: Continual Learning from a Stream of Trained Models

13 December 2021

Vincenzo Lomonaco

Papers citing "Ex-Model: Continual Learning from a Stream of Trained Models"

15 / 15 papers shown

Title
A distillation-based approach integrating continual learning and federated learning for pervasive services Anastasiia Usmanova Franccois Portet P. Lalanda Germán Vega FedML 67 55 0 09 Sep 2021
Always Be Dreaming: A New Approach for Data-Free Class-Incremental Learning James Smith Yen-Chang Hsu John C. Balloch Yilin Shen Hongxia Jin Z. Kira CLL 93 166 0 17 Jun 2021
Knowledge distillation: A good teacher is patient and consistent Lucas Beyer Xiaohua Zhai Amelie Royer L. Markeeva Rohan Anil Alexander Kolesnikov VLM 92 293 0 09 Jun 2021
Replay in Deep Learning: Current Approaches and Missing Biological Elements Tyler L. Hayes G. Krishnan M. Bazhenov H. Siegelmann T. Sejnowski Christopher Kanan CLL 60 131 0 01 Apr 2021
Avalanche: an End-to-End Library for Continual Learning Vincenzo Lomonaco Lorenzo Pellegrini Andrea Cossu Antonio Carta G. Graffieti ... Christopher Kanan Joost van de Weijer Tinne Tuytelaars D. Bacciu Davide Maltoni BDL AI4TS 65 182 0 01 Apr 2021
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 73 685 0 28 Oct 2020
Federated Continual Learning with Weighted Inter-client Transfer Jaehong Yoon Wonyoung Jeong Giwoong Lee Eunho Yang Sung Ju Hwang FedML 72 207 0 06 Mar 2020
Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion Hongxu Yin Pavlo Molchanov Zhizhong Li J. Álvarez Arun Mallya Derek Hoiem N. Jha Jan Kautz 60 563 0 18 Dec 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 56 249 0 29 Jun 2019
Zero-Shot Knowledge Distillation in Deep Networks Gaurav Kumar Nayak Konda Reddy Mopuri Vaisakh Shaj R. Venkatesh Babu Anirban Chakraborty 73 245 0 20 May 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
FearNet: Brain-Inspired Model for Incremental Learning Ronald Kemker Christopher Kanan CLL 93 476 0 28 Nov 2017
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 226 8,856 0 25 Aug 2017
Learning without Forgetting Zhizhong Li Derek Hoiem CLL OOD SSL 272 4,388 0 29 Jun 2016
Understanding Deep Image Representations by Inverting Them Aravindh Mahendran Andrea Vedaldi FAtt 99 1,962 0 26 Nov 2014