Continual Deep Learning by Functional Regularisation of Memorable Past

29 April 2020

Mohammad Emtiyaz Khan

KELM

CLL

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Papers citing "Continual Deep Learning by Functional Regularisation of Memorable Past"

35 / 35 papers shown

Title
ReplayCAD: Generative Diffusion Replay for Continual Anomaly Detection Lei Hu Zhiyong Gan Ling Deng Jinglin Liang Lingyu Liang Shuangping Huang Tianshui Chen DiffM 31 0 0 10 May 2025
Skill Expansion and Composition in Parameter Space Tenglong Liu J. Li Yinan Zheng Haoyi Niu Yixing Lan Xin Xu Xianyuan Zhan 58 4 0 09 Feb 2025
Assessing Open-world Forgetting in Generative Image Model Customization Héctor Laria Alex Gomez-Villa Imad Eddine Marouf Bogdan Raducanu Bogdan Raducanu VLM DiffM 37 0 0 18 Oct 2024
Temporal-Difference Variational Continual Learning L. Melo Alessandro Abate Yarin Gal BDL CLL VLM 46 0 0 10 Oct 2024
Exploring the Evolution of Hidden Activations with Live-Update Visualization Xianglin Yang Jin Song Dong 35 0 0 24 May 2024
Infinite dSprites for Disentangled Continual Learning: Separating Memory Edits from Generalization Sebastian Dziadzio cCaugatay Yildiz Gido M. van de Ven Tomasz Trzciñski Tinne Tuytelaars Matthias Bethge 21 1 0 27 Dec 2023
Function-Space Regularization for Deep Bayesian Classification J. Lin Joe Watson Pascal Klink Jan Peters UQCV BDL 38 1 0 12 Jul 2023
Memory-Based Dual Gaussian Processes for Sequential Learning Paul E. Chang Prakhar Verma S. T. John Arno Solin Mohammad Emtiyaz Khan GP 20 4 0 06 Jun 2023
Evolving Knowledge Mining for Class Incremental Segmentation Zhihe Lu Shuicheng Yan Xinchao Wang CLL 36 0 0 03 Jun 2023
How Efficient Are Today's Continual Learning Algorithms? Md Yousuf Harun Jhair Gallardo Tyler L. Hayes Christopher Kanan 21 23 0 29 Mar 2023
PipeFisher: Efficient Training of Large Language Models Using Pipelining and Fisher Information Matrices Kazuki Osawa Shigang Li Torsten Hoefler AI4CE 35 24 0 25 Nov 2022
Learn the Time to Learn: Replay Scheduling in Continual Learning Marcus Klasson Hedvig Kjellström Chen Zhang CLL 24 9 0 18 Sep 2022
How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on Continual Learning and Functional Composition Jorge Armando Mendez Mendez Eric Eaton KELM CLL 32 27 0 15 Jul 2022
Representation Compensation Networks for Continual Semantic Segmentation Chang-Bin Zhang Jianqiang Xiao Xialei Liu Ying-Cong Chen Mingg-Ming Cheng SSeg CLL 37 93 0 10 Mar 2022
Continual learning of longitudinal health records Jacob Armstrong David A. Clifton CLL KELM 27 15 0 22 Dec 2021
Provable Continual Learning via Sketched Jacobian Approximations Reinhard Heckel CLL 20 9 0 09 Dec 2021
Recent Advances of Continual Learning in Computer Vision: An Overview Haoxuan Qu Hossein Rahmani Li Xu Bryan M. Williams Jun Liu VLM CLL 25 73 0 23 Sep 2021
Lifelong Infinite Mixture Model Based on Knowledge-Driven Dirichlet Process Fei Ye A. Bors CLL 15 18 0 25 Aug 2021
Laplace Redux -- Effortless Bayesian Deep Learning Erik A. Daxberger Agustinus Kristiadi Alexander Immer Runa Eschenhagen Matthias Bauer Philipp Hennig BDL UQCV 58 289 0 28 Jun 2021
Task-agnostic Continual Learning with Hybrid Probabilistic Models Polina Kirichenko Mehrdad Farajtabar Dushyant Rao Balaji Lakshminarayanan Nir Levine Ang Li Huiyi Hu A. Wilson Razvan Pascanu VLM BDL CLL 24 19 0 24 Jun 2021
Graceful Degradation and Related Fields J. Dymond 31 4 0 21 Jun 2021
Natural continual learning: success is a journey, not (just) a destination Ta-Chu Kao Kristopher T. Jensen Gido M. van de Ven A. Bernacchia Guillaume Hennequin CLL 23 46 0 15 Jun 2021
Same State, Different Task: Continual Reinforcement Learning without Interference Samuel Kessler Jack Parker-Holder Philip J. Ball S. Zohren Stephen J. Roberts CLL OffRL 13 46 0 05 Jun 2021
Class-Incremental Learning with Generative Classifiers Gido M. van de Ven Zhe Li A. Tolias BDL 50 58 0 20 Apr 2021
Lifelong Learning with Sketched Structural Regularization Haoran Li A. Krishnan Jingfeng Wu Soheil Kolouri Praveen K. Pilly Vladimir Braverman CLL 22 17 0 17 Apr 2021
Fast Adaptation with Linearized Neural Networks Wesley J. Maddox Shuai Tang Pablo G. Moreno A. Wilson Andreas C. Damianou 29 32 0 02 Mar 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 54 0 01 Mar 2021
Understanding Catastrophic Forgetting and Remembering in Continual Learning with Optimal Relevance Mapping Prakhar Kaushik Alex Gain Adam Kortylewski Alan Yuille CLL 11 68 0 22 Feb 2021
Generalized Variational Continual Learning Noel Loo S. Swaroop Richard Turner BDL CLL 33 58 0 24 Nov 2020
Energy-Based Models for Continual Learning Shuang Li Yilun Du Gido M. van de Ven Igor Mordatch 27 42 0 24 Nov 2020
A Theoretical Analysis of Catastrophic Forgetting through the NTK Overlap Matrix T. Doan Mehdi Abbana Bennani Bogdan Mazoure Guillaume Rabusseau Pierre Alquier CLL 15 80 0 07 Oct 2020
Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics Swabha Swayamdipta Roy Schwartz Nicholas Lourie Yizhong Wang Hannaneh Hajishirzi Noah A. Smith Yejin Choi 32 429 0 22 Sep 2020
Generalisation Guarantees for Continual Learning with Orthogonal Gradient Descent Mehdi Abbana Bennani Thang Doan Masashi Sugiyama CLL 50 61 0 21 Jun 2020
Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam Mohammad Emtiyaz Khan Didrik Nielsen Voot Tangkaratt Wu Lin Y. Gal Akash Srivastava ODL 74 266 0 13 Jun 2018
MARGIN: Uncovering Deep Neural Networks using Graph Signal Analysis Rushil Anirudh Jayaraman J. Thiagarajan R. Sridhar T. Bremer FAtt AAML 23 12 0 15 Nov 2017