Towards Robust Evaluations of Continual Learning

24 May 2018

Papers citing "Towards Robust Evaluations of Continual Learning"

41 / 191 papers shown

Title
Understanding the Role of Training Regimes in Continual Learning Seyed Iman Mirzadeh Mehrdad Farajtabar Razvan Pascanu H. Ghasemzadeh CLL 18 219 0 12 Jun 2020
Unifying Regularisation Methods for Continual Learning Frederik Benzing CLL 8 8 0 11 Jun 2020
Variational Auto-Regressive Gaussian Processes for Continual Learning Sanyam Kapoor Theofanis Karaletsos T. Bui BDL 9 24 0 09 Jun 2020
Coresets via Bilevel Optimization for Continual Learning and Streaming Zalan Borsos Mojmír Mutný Andreas Krause CLL 19 226 0 06 Jun 2020
Continual Learning Using Multi-view Task Conditional Neural Networks Honglin Li Payam Barnaghi Shirin Enshaeifar F. Ganz CLL 6 1 0 08 May 2020
Importance Driven Continual Learning for Segmentation Across Domains S. Özgün Anne-Marie Rickmann Abhijit Guha Roy Christian Wachinger OOD CLL 12 33 0 30 Apr 2020
Continual Learning using a Bayesian Nonparametric Dictionary of Weight Factors Nikhil Mehta Kevin J Liang Vinay K Verma Lawrence Carin CLL 20 5 0 21 Apr 2020
CLOPS: Continual Learning of Physiological Signals Dani Kiyasseh T. Zhu David A. Clifton 23 7 0 20 Apr 2020
Dark Experience for General Continual Learning: a Strong, Simple Baseline Pietro Buzzega Matteo Boschini Angelo Porrello Davide Abati Simone Calderara BDL CLL 12 872 0 15 Apr 2020
Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning Massimo Caccia Pau Rodríguez López O. Ostapenko Fabrice Normandin Min-Bin Lin ... I. Laradji Irina Rish Alexande Lacoste David Vazquez Laurent Charlin CLL KELM 17 66 0 12 Mar 2020
FoCL: Feature-Oriented Continual Learning for Generative Models Qicheng Lao Mehrzad Mortazavi Marzieh S. Tahaei Francis Dutil T. Fevens Mohammad Havaei CLL 20 13 0 09 Mar 2020
SPACE: Structured Compression and Sharing of Representational Space for Continual Learning Gobinda Saha Isha Garg Aayush Ankit Kaushik Roy CLL 12 22 0 23 Jan 2020
Continuous Adaptation for Interactive Object Segmentation by Learning from Corrections Theodora Kontogianni Michael Gygli J. Uijlings V. Ferrari CLL VLM 22 58 0 28 Nov 2019
Online Learned Continual Compression with Adaptive Quantization Modules Lucas Page-Caccia Eugene Belilovsky Massimo Caccia Joelle Pineau 17 5 0 19 Nov 2019
Continual Unsupervised Representation Learning Dushyant Rao Francesco Visin Andrei A. Rusu Yee Whye Teh Razvan Pascanu R. Hadsell BDL CLL SSL DRL 6 255 0 31 Oct 2019
Orthogonal Gradient Descent for Continual Learning Mehrdad Farajtabar Navid Azizan Alex Mott Ang Li CLL 17 348 0 15 Oct 2019
Continual Learning in Neural Networks Rahaf Aljundi CLL 16 33 0 07 Oct 2019
REMIND Your Neural Network to Prevent Catastrophic Forgetting Tyler L. Hayes Kushal Kafle Robik Shrestha Manoj Acharya Christopher Kanan CLL 29 294 0 06 Oct 2019
A continual learning survey: Defying forgetting in classification tasks Matthias De Lange Rahaf Aljundi Marc Masana Sarah Parisot Xu Jia A. Leonardis Greg Slabaugh Tinne Tuytelaars CLL KELM 12 246 0 18 Sep 2019
Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis Tyler L. Hayes Christopher Kanan CLL 19 142 0 04 Sep 2019
Online Continual Learning with Maximally Interfered Retrieval Rahaf Aljundi Lucas Page-Caccia Eugene Belilovsky Massimo Caccia Min-Bin Lin Laurent Charlin Tinne Tuytelaars CLL 11 527 0 11 Aug 2019
Toward Understanding Catastrophic Forgetting in Continual Learning Cuong V Nguyen Alessandro Achille Michael Lam Tal Hassner Vijay Mahadevan Stefano Soatto 8 87 0 02 Aug 2019
Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning Sebastian Farquhar Michael A. Osborne Y. Gal UQCV BDL 19 57 0 01 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 12 248 0 29 Jun 2019
Localizing Catastrophic Forgetting in Neural Networks Felix Wiewel Binh Yang 9 11 0 06 Jun 2019
Continual learning with hypernetworks J. Oswald Christian Henning Benjamin Grewe João Sacramento CLL 10 348 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 19 40 0 28 May 2019
Single-Net Continual Learning with Progressive Segmented Training (PST) Xiaocong Du Gouranga Charan Frank Liu Yu Cao CLL 12 12 0 28 May 2019
Three scenarios for continual learning Gido M. van de Ven A. Tolias CLL 4 870 0 15 Apr 2019
Learn to Grow: A Continual Structure Learning Framework for Overcoming Catastrophic Forgetting Xilai Li Yingbo Zhou Tianfu Wu R. Socher Caiming Xiong CLL 17 418 0 31 Mar 2019
Implicit Generation and Generalization in Energy-Based Models Yilun Du Igor Mordatch BDL DiffM 19 40 0 20 Mar 2019
Gradient based sample selection for online continual learning Rahaf Aljundi Min-Bin Lin Baptiste Goujaud Yoshua Bengio BDL CLL 16 800 0 20 Mar 2019
A Unifying Bayesian View of Continual Learning Sebastian Farquhar Y. Gal BDL CLL 6 66 0 18 Feb 2019
Functional Regularisation for Continual Learning with Gaussian Processes Michalis K. Titsias Jonathan Richard Schwarz A. G. Matthews Razvan Pascanu Yee Whye Teh CLL BDL 12 182 0 31 Jan 2019
Generative Adversarial Network Training is a Continual Learning Problem Kevin J Liang Chunyuan Li Guoyin Wang Lawrence Carin GAN 11 50 0 27 Nov 2018
Don't forget, there is more than forgetting: new metrics for Continual Learning Natalia Díaz Rodríguez Vincenzo Lomonaco David Filliat Davide Maltoni CLL 9 160 0 31 Oct 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 13 350 0 30 Oct 2018
Generative replay with feedback connections as a general strategy for continual learning Gido M. van de Ven A. Tolias CLL KELM 27 223 0 27 Sep 2018
Task Agnostic Continual Learning Using Online Variational Bayes Chen Zeno Itay Golan Elad Hoffer Daniel Soudry CLL FedML BDL 9 109 0 27 Mar 2018
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference Y. Gal Zoubin Ghahramani UQCV BDL 197 745 0 06 Jun 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,136 0 06 Jun 2015