Continual Learning via Local Module Composition

15 November 2021

Papers citing "Continual Learning via Local Module Composition"

32 / 82 papers shown

Title
Towards Robust Evaluations of Continual Learning Sebastian Farquhar Y. Gal CLL 84 307 0 24 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 108 886 0 16 May 2018
Task Agnostic Continual Learning Using Online Variational Bayes Chen Zeno Itay Golan Elad Hoffer Daniel Soudry CLL FedML BDL 46 110 0 27 Mar 2018
On First-Order Meta-Learning Algorithms Alex Nichol Joshua Achiam John Schulman 221 2,229 0 08 Mar 2018
Meta-Learning for Semi-Supervised Few-Shot Classification Mengye Ren Eleni Triantafillou S. S. Ravi Jake C. Snell Kevin Swersky J. Tenenbaum Hugo Larochelle R. Zemel SSL 65 1,282 0 02 Mar 2018
Selective Experience Replay for Lifelong Learning David Isele Akansel Cosgun CLL 84 455 0 28 Feb 2018
Recasting Gradient-Based Meta-Learning as Hierarchical Bayes Erin Grant Chelsea Finn Sergey Levine Trevor Darrell Thomas Griffiths BDL 77 509 0 26 Jan 2018
Overcoming catastrophic forgetting with hard attention to the task Joan Serrà Dídac Surís M. Miron Alexandros Karatzoglou CLL 93 1,074 0 04 Jan 2018
Learning Independent Causal Mechanisms Giambattista Parascandolo Niki Kilbertus Mateo Rojas-Carulla Bernhard Schölkopf CML OOD DRL 52 182 0 04 Dec 2017
Memory Aware Synapses: Learning what (not) to forget Rahaf Aljundi F. Babiloni Mohamed Elhoseiny Marcus Rohrbach Tinne Tuytelaars KELM CLL 83 1,628 0 27 Nov 2017
Beyond Shared Hierarchies: Deep Multitask Learning through Soft Layer Ordering Elliot Meyerson Risto Miikkulainen MoE 67 93 0 31 Oct 2017
Variational Continual Learning Cuong V Nguyen Yingzhen Li T. Bui Richard Turner CLL VLM BDL 79 732 0 29 Oct 2017
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 246 8,856 0 25 Aug 2017
Lifelong Learning with Dynamically Expandable Networks Jaehong Yoon Eunho Yang Jeongtae Lee Sung Ju Hwang CLL 99 1,220 0 04 Aug 2017
Gradient Episodic Memory for Continual Learning David Lopez-Paz MarcÁurelio Ranzato VLM CLL 105 2,705 0 26 Jun 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 806 11,866 0 09 Mar 2017
Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer Noam M. Shazeer Azalia Mirhoseini Krzysztof Maziarz Andy Davis Quoc V. Le Geoffrey E. Hinton J. Dean MoE 225 2,635 0 23 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 317 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 75 658 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
Learning to Compose Neural Networks for Question Answering Jacob Andreas Marcus Rohrbach Trevor Darrell Dan Klein NAI KELM BDL CoGe 91 565 0 07 Jan 2016
Neural Module Networks Jacob Andreas Marcus Rohrbach Trevor Darrell Dan Klein CoGe 129 1,071 0 09 Nov 2015
Variational Inference with Normalizing Flows Danilo Jimenez Rezende S. Mohamed DRL BDL 290 4,167 0 21 May 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 419 43,234 0 11 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.4K 149,842 0 22 Dec 2014
NICE: Non-linear Independent Components Estimation Laurent Dinh David M. Krueger Yoshua Bengio DRL BDL 121 2,257 0 30 Oct 2014
Short-term plasticity as cause-effect hypothesis testing in distal reward learning Andrea Soltoggio 44 28 0 04 Feb 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 416 16,944 0 20 Dec 2013
Describing Textures in the Wild Mircea Cimpoi Subhransu Maji Iasonas Kokkinos S. Mohamed Andrea Vedaldi 3DV 96 2,661 0 14 Nov 2013
On Causal and Anticausal Learning Bernhard Schölkopf Dominik Janzing J. Peters Eleni Sgouritsa Kun Zhang Joris Mooij CML 81 607 0 27 Jun 2012