Continual Learning via Local Module Composition

15 November 2021

Papers citing "Continual Learning via Local Module Composition"

50 / 82 papers shown

Title
RECAST: Reparameterized, Compact weight Adaptation for Sequential Tasks Nazia Tasnim Bryan A. Plummer CLL OffRL 121 0 0 25 Nov 2024
Bridging Neuroscience and AI: Environmental Enrichment as a Model for Forward Knowledge Transfer Rajat Saxena Bruce L. McNaughton CLL 92 2 0 12 May 2024
Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning Huiyi Wang Haodong Lu Lina Yao Dong Gong KELM CLL 81 11 0 27 Mar 2024
SketchOGD: Memory-Efficient Continual Learning Benjamin Wright Youngjae Min Jeremy Bernstein Navid Azizan CLL 137 0 0 25 May 2023
Learning where to learn: Gradient sparsity in meta and continual learning J. Oswald Dominic Zhao Seijin Kobayashi Simon Schug Massimo Caccia Nicolas Zucchet João Sacramento CLL 58 47 0 27 Oct 2021
CLEVA-Compass: A Continual Learning EValuation Assessment Compass to Promote Research Transparency and Comparability Martin Mundt Steven Braun Quentin Delfosse Kristian Kersting 56 35 0 07 Oct 2021
Sequoia: A Software Framework to Unify Continual Learning Research Fabrice Normandin Florian Golemo O. Ostapenko Pau Rodríguez López Matthew D Riemer ... Dominic Zhao Timothée Lesort Laurent Charlin Irina Rish Massimo Caccia CLL 45 21 0 02 Aug 2021
SPeCiaL: Self-Supervised Pretraining for Continual Learning Lucas Caccia Joelle Pineau CLL SSL 55 18 0 16 Jun 2021
Continual Learning in Deep Networks: an Analysis of the Last Layer Timothée Lesort Thomas George Irina Rish KELM 60 22 0 03 Jun 2021
Fast and Slow Learning of Recurrent Independent Mechanisms Kanika Madan Rosemary Nan Ke Anirudh Goyal Bernhard Schölkopf Yoshua Bengio OCL 62 40 0 18 May 2021
Understanding Continual Learning Settings with Data Distribution Drift Analysis Timothée Lesort Massimo Caccia Irina Rish 71 56 0 04 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
Coordination Among Neural Modules Through a Shared Global Workspace Anirudh Goyal Aniket Didolkar Alex Lamb Kartikeya Badola Nan Rosemary Ke Nasim Rahaman Jonathan Binas Charles Blundell Michael C. Mozer Yoshua Bengio 186 98 0 01 Mar 2021
Continuum: Simple Management of Complex Continual Learning Scenarios Arthur Douillard Timothée Lesort 38 38 0 11 Feb 2021
Towards Continual Reinforcement Learning: A Review and Perspectives Khimya Khetarpal Matthew D Riemer Irina Rish Doina Precup CLL OffRL 92 318 0 25 Dec 2020
Efficient Continual Learning with Modular Networks and Task-Driven Priors Tom Véniat Ludovic Denoyer MarcÁurelio Ranzato CLL 70 98 0 23 Dec 2020
Gradient Starvation: A Learning Proclivity in Neural Networks Mohammad Pezeshki Sekouba Kaba Yoshua Bengio Aaron Courville Doina Precup Guillaume Lajoie MLT 100 266 0 18 Nov 2020
The unreasonable effectiveness of Batch-Norm statistics in addressing catastrophic forgetting across medical institutions Sharut Gupta Praveer Singh Ken Chang M. Aggarwal N. Arun ... J. Patel M. Gidwani A. Vaswani D. Rubin Jayashree Kalpathy-Cramer 11 3 0 16 Nov 2020
Further Analysis of Outlier Detection with Deep Generative Models Ziyu Wang Bin Dai David Wipf Jun Zhu 46 39 0 25 Oct 2020
Modular Networks for Compositional Instruction Following Rodolfo Corona Daniel Fried Coline Devin Dan Klein Trevor Darrell 48 5 0 24 Oct 2020
Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks Róbert Csordás Sjoerd van Steenkiste Jürgen Schmidhuber 82 94 0 05 Oct 2020
CVPR 2020 Continual Learning in Computer Vision Competition: Approaches, Results, Current Challenges and Future Directions Vincenzo Lomonaco Lorenzo Pellegrini Pau Rodríguez López Massimo Caccia Qi She ... G. I. Parisi Nikhil Churamani Marc Pickett I. Laradji Davide Maltoni CLL 53 44 0 14 Sep 2020
A Wholistic View of Continual Learning with Deep Neural Networks: Forgotten Lessons and the Bridge to Active and Open World Learning Martin Mundt Yongjun Hong Iuliia Pliushch Visvanathan Ramesh CLL 61 149 0 03 Sep 2020
In Search of Lost Domain Generalization Ishaan Gulrajani David Lopez-Paz OOD 74 1,137 0 02 Jul 2020
OvA-INN: Continual Learning with Invertible Neural Networks Guillaume Hocquet O. Bichler D. Querlioz BDL CLL 28 12 0 24 Jun 2020
Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning Massimo Caccia Pau Rodríguez López O. Ostapenko Fabrice Normandin Min Lin ... I. Laradji Irina Rish Alexande Lacoste David Vazquez Laurent Charlin CLL KELM 57 66 0 12 Mar 2020
A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning Soochan Lee Junsoo Ha Dongsu Zhang Gunhee Kim BDL CLL 72 211 0 03 Jan 2020
Continuous Meta-Learning without Tasks James Harrison Apoorva Sharma Chelsea Finn Marco Pavone CLL OOD 74 79 0 18 Dec 2019
Online Learned Continual Compression with Adaptive Quantization Modules Lucas Caccia Eugene Belilovsky Massimo Caccia Joelle Pineau 42 5 0 19 Nov 2019
Recurrent Independent Mechanisms Anirudh Goyal Alex Lamb Jordan Hoffmann Shagun Sodhani Sergey Levine Yoshua Bengio Bernhard Schölkopf 76 337 0 24 Sep 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 57 246 0 18 Sep 2019
Online Continual Learning with Maximally Interfered Retrieval Rahaf Aljundi Lucas Caccia Eugene Belilovsky Massimo Caccia Min Lin Laurent Charlin Tinne Tuytelaars CLL 67 541 0 11 Aug 2019
Task Agnostic Continual Learning via Meta Learning Xu He Jakub Sygnowski Alexandre Galashov Andrei A. Rusu Yee Whye Teh Razvan Pascanu OOD CLL FedML 49 94 0 12 Jun 2019
Meta-Learning Representations for Continual Learning Khurram Javed Martha White KELM CLL 77 319 0 29 May 2019
Routing Networks and the Challenges of Modular and Compositional Computation Clemens Rosenbaum Ignacio Cases Matthew D Riemer Tim Klinger 54 81 0 29 Apr 2019
A Review of Modularization Techniques in Artificial Neural Networks Mohammed Amer Tomás Maul 54 80 0 29 Apr 2019
Generalizing from a Few Examples: A Survey on Few-Shot Learning Yaqing Wang Quanming Yao James T. Kwok L. Ni 81 1,809 0 10 Apr 2019
Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning O. Ostapenko M. Puscas T. Klein P. Jähnichen Moin Nabi CLL 140 301 0 05 Apr 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
Learning Not to Learn: Training Deep Neural Networks with Biased Data Byungju Kim Hyunwoo Kim Kyungsu Kim Sungjin Kim Junmo Kim OOD 57 409 0 26 Dec 2018
Generative Models from the perspective of Continual Learning Timothée Lesort Hugo Caselles-Dupré Michael Garcia Ortiz Andrei Stoian David Filliat VLM DiffM 42 156 0 21 Dec 2018
Deep Anomaly Detection with Outlier Exposure Dan Hendrycks Mantas Mazeika Thomas G. Dietterich OODD 157 1,475 0 11 Dec 2018
Experience Replay for Continual Learning David Rolnick Arun Ahuja Jonathan Richard Schwarz Timothy Lillicrap Greg Wayne CLL 110 1,154 0 28 Nov 2018
Modular Networks: Learning to Decompose Neural Computation Louis Kirsch Julius Kunze David Barber 57 111 0 13 Nov 2018
Invertible Residual Networks Jens Behrmann Will Grathwohl Ricky T. Q. Chen David Duvenaud J. Jacobsen UQCV TPM 96 622 0 02 Nov 2018
How to train your MAML Antreas Antoniou Harrison Edwards Amos Storkey 65 774 0 22 Oct 2018
Do Deep Generative Models Know What They Don't Know? Eric T. Nalisnick Akihiro Matsukawa Yee Whye Teh Dilan Görür Balaji Lakshminarayanan OOD 51 756 0 22 Oct 2018
Meta-Learning: A Survey Joaquin Vanschoren FedML OOD 60 763 0 08 Oct 2018
Memory Replay GANs: learning to generate images from new categories without forgetting Chenshen Wu Luis Herranz Xialei Liu Yaxing Wang Joost van de Weijer Bogdan Raducanu CLL VLM GAN 49 194 0 06 Sep 2018
Automatically Composing Representation Transformations as a Means for Generalization Michael Chang Abhishek Gupta Sergey Levine Thomas Griffiths 47 69 0 12 Jul 2018