Towards Robust Evaluations of Continual Learning

24 May 2018

Papers citing "Towards Robust Evaluations of Continual Learning"

35 / 35 papers shown

Title
Autoencoder-Based Hybrid Replay for Class-Incremental Learning Milad Khademi Nori Il-Min Kim Guanghui Wang CLL 85 0 0 09 May 2025
Temporal-Difference Variational Continual Learning Luckeciano C. Melo Alessandro Abate Yarin Gal BDL CLL VLM 98 0 0 10 Oct 2024
Fair Class-Incremental Learning using Sample Weighting Jaeyoung Park Minsu Kim Steven Euijong Whang 61 0 0 02 Oct 2024
Optimal Protocols for Continual Learning via Statistical Physics and Control Theory Francesco Mori Stefano Sarao Mannelli Francesca Mignacco 101 3 0 26 Sep 2024
A comprehensive, application-oriented study of catastrophic forgetting in DNNs Benedikt Pfülb A. Gepperth 43 90 0 20 May 2019
Differentially Private Continual Learning Sebastian Farquhar Y. Gal FedML MU 27 12 0 18 Feb 2019
A Unifying Bayesian View of Continual Learning Sebastian Farquhar Y. Gal BDL CLL 28 66 0 18 Feb 2019
Efficient Lifelong Learning with A-GEM Arslan Chaudhry MarcÁurelio Ranzato Marcus Rohrbach Mohamed Elhoseiny CLL 170 1,438 0 02 Dec 2018
Don't forget, there is more than forgetting: new metrics for Continual Learning Natalia Díaz Rodríguez Vincenzo Lomonaco David Filliat Davide Maltoni CLL 38 160 0 31 Oct 2018
Online Structured Laplace Approximations For Overcoming Catastrophic Forgetting H. Ritter Aleksandar Botev David Barber BDL CLL 74 329 0 20 May 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 95 877 0 16 May 2018
Continual Lifelong Learning with Neural Networks: A Review G. I. Parisi Ronald Kemker Jose L. Part Christopher Kanan S. Wermter KELM CLL 121 2,854 0 21 Feb 2018
Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence Arslan Chaudhry P. Dokania Thalaiyasingam Ajanthan Philip Torr CLL 74 1,134 0 30 Jan 2018
On Quadratic Penalties in Elastic Weight Consolidation Ferenc Huszár 49 98 0 11 Dec 2017
High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs Ting-Chun Wang Ming-Yuan Liu Jun-Yan Zhu Andrew Tao Jan Kautz Bryan Catanzaro SSeg 148 3,926 0 30 Nov 2017
Variational Continual Learning Cuong V Nguyen Yingzhen Li T. Bui Richard Turner CLL VLM BDL 62 730 0 29 Oct 2017
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 170 8,807 0 25 Aug 2017
Gradient Episodic Memory for Continual Learning David Lopez-Paz MarcÁurelio Ranzato VLM CLL 72 2,684 0 26 Jun 2017
Continual Learning with Deep Generative Replay Hanul Shin Jung Kwon Lee Jaehong Kim Jiwon Kim KELM CLL 67 2,051 0 24 May 2017
CORe50: a New Dataset and Benchmark for Continuous Object Recognition Vincenzo Lomonaco Davide Maltoni 117 490 0 09 May 2017
Overcoming Catastrophic Forgetting by Incremental Moment Matching Sang-Woo Lee Jin-Hwa Kim Jaehyun Jun Jung-Woo Ha Byoung-Tak Zhang CLL 56 674 0 24 Mar 2017
PathNet: Evolution Channels Gradient Descent in Super Neural Networks Chrisantha Fernando Dylan Banarse Charles Blundell Yori Zwols David R Ha Andrei A. Rusu Alexander Pritzel Daan Wierstra 33 879 0 30 Jan 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 265 7,410 0 02 Dec 2016
Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data Nicolas Papernot Martín Abadi Ulfar Erlingsson Ian Goodfellow Kunal Talwar 55 1,012 0 18 Oct 2016
Less-forgetting Learning in Deep Neural Networks Heechul Jung Jeongwoo Ju Minju Jung Junmo Kim 87 228 0 01 Jul 2016
Learning without Forgetting Zhizhong Li Derek Hoiem CLL OOD SSL 241 4,357 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 46 2,427 0 15 Jun 2016
Variational Dropout and the Local Reparameterization Trick Diederik P. Kingma Tim Salimans Max Welling BDL 159 1,500 0 08 Jun 2015
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference Y. Gal Zoubin Ghahramani UQCV BDL 249 747 0 06 Jun 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 476 9,233 0 06 Jun 2015
Weight Uncertainty in Neural Networks Charles Blundell Julien Cornebise Koray Kavukcuoglu Daan Wierstra UQCV BDL 117 1,878 0 20 May 2015
How transferable are features in deep neural networks? J. Yosinski Jeff Clune Yoshua Bengio Hod Lipson OOD 148 8,309 0 06 Nov 2014
CNN Features off-the-shelf: an Astounding Baseline for Recognition A. Razavian Hossein Azizpour Josephine Sullivan S. Carlsson 124 4,937 0 23 Mar 2014
An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks Ian Goodfellow M. Berk Mirza Xia Da Aaron Courville Yoshua Bengio 130 1,428 0 21 Dec 2013
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition Jeff Donahue Yangqing Jia Oriol Vinyals Judy Hoffman Ning Zhang Eric Tzeng Trevor Darrell VLM ObjD 160 4,946 0 06 Oct 2013