On Quadratic Penalties in Elastic Weight Consolidation

11 December 2017

Papers citing "On Quadratic Penalties in Elastic Weight Consolidation"

24 / 24 papers shown

Title
A Unified Gradient-based Framework for Task-agnostic Continual Learning-Unlearning Zhehao Huang Xinwen Cheng Jing Zhang Jinghao Zheng Haoran Wang Zhengbao He Tao Li Xiaolin Huang CLL 54 0 0 21 May 2025
Continual Learning With Quasi-Newton Methods Steven Vander Eeckt Hugo Van hamme CLL BDL 69 0 0 25 Mar 2025
Sequential Function-Space Variational Inference via Gaussian Mixture Approximation Menghao Waiyan William Zhu Pengcheng Hao E. Kuruoglu BDL 58 0 0 10 Mar 2025
Scalable Bayesian Learning with posteriors Samuel Duffield Kaelan Donatella Johnathan Chiu Phoebe Klett Daniel Simpson BDL UQCV 65 1 0 31 May 2024
Model Merging by Uncertainty-Based Gradient Matching Nico Daheim Thomas Möllenhoff Edoardo Ponti Iryna Gurevych Mohammad Emtiyaz Khan MoMe FedML 41 46 0 19 Oct 2023
Correlation of the importances of neural network weights calculated by modern methods of overcoming catastrophic forgetting Alexey Kutalev 21 0 0 24 Oct 2022
DIRA: Dynamic Domain Incremental Regularised Adaptation Abanoub Ghobrial Xu Zheng Darryl Hond Hamid Asgari Kerstin Eder AI4CE 49 1 0 30 Apr 2022
DualNet: Continual Learning, Fast and Slow Quang Pham Chenghao Liu Guosheng Lin CLL 77 44 0 01 Oct 2021
Stabilizing Elastic Weight Consolidation method in practical ML tasks and using weight importances for neural network pruning Alexey Kutalev A. Lapina 38 11 0 21 Sep 2021
Improving Scheduled Sampling with Elastic Weight Consolidation for Neural Machine Translation Michalis Korakakis Andreas Vlachos CLL 36 2 0 13 Sep 2021
Laplace Redux -- Effortless Bayesian Deep Learning Erik A. Daxberger Agustinus Kristiadi Alexander Immer Runa Eschenhagen Matthias Bauer Philipp Hennig BDL UQCV 63 299 0 28 Jun 2021
Continual World: A Robotic Benchmark For Continual Reinforcement Learning Maciej Wołczyk Michal Zajkac Razvan Pascanu Lukasz Kuciñski Piotr Milo's CLL OffRL 35 89 0 23 May 2021
Continual Learning in Sensor-based Human Activity Recognition: an Empirical Benchmark Analysis Saurav Jha Martin Schiemer F. Zambonelli Juan Ye 28 48 0 19 Apr 2021
Posterior Meta-Replay for Continual Learning Christian Henning Maria R. Cervera Francesco DÁngelo J. Oswald Regina Traber Benjamin Ehret Seijin Kobayashi Benjamin Grewe João Sacramento CLL BDL 51 55 0 01 Mar 2021
CLeaR: An Adaptive Continual Learning Framework for Regression Tasks Yujiang He Bernhard Sick CLL 56 39 0 04 Jan 2021
Monitoring multimode processes: a modified PCA algorithm with continual learning ability Jingxin Zhang Donghua Zhou Maoyin Chen 25 61 0 13 Dec 2020
Lifelong Policy Gradient Learning of Factored Policies for Faster Training Without Forgetting Jorge Armando Mendez Mendez Boyu Wang Eric Eaton CLL 46 38 0 14 Jul 2020
Continual Learning in Recurrent Neural Networks Benjamin Ehret Christian Henning Maria R. Cervera Alexander Meulemans J. Oswald Benjamin Grewe CLL 39 9 0 22 Jun 2020
Efficient Continual Learning in Neural Networks with Embedding Regularization Jary Pomponi Simone Scardapane Vincenzo Lomonaco A. Uncini CLL 36 41 0 09 Sep 2019
Autonomous Deep Learning: Continual Learning Approach for Dynamic Environments Andri Ashfahani Mahardhika Pratama 38 69 0 17 Oct 2018
Self-Net: Lifelong Learning via Continual Self-Modeling Blake Camp J. Mandivarapu Rolando Estrada CLL SSL 32 16 0 25 May 2018
Towards Robust Evaluations of Continual Learning Sebastian Farquhar Y. Gal CLL 33 305 0 24 May 2018
Online Structured Laplace Approximations For Overcoming Catastrophic Forgetting H. Ritter Aleksandar Botev David Barber BDL CLL 48 328 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 82 874 0 16 May 2018