Online Structured Laplace Approximations For Overcoming Catastrophic Forgetting

20 May 2018

Papers citing "Online Structured Laplace Approximations For Overcoming Catastrophic Forgetting"

50 / 216 papers shown

Title
Online Continual Learning in Image Classification: An Empirical Survey Zheda Mai Ruiwen Li Jihwan Jeong David Quispe Hyunwoo J. Kim Scott Sanner VLM CLL 36 408 0 25 Jan 2021
Curriculum-Meta Learning for Order-Robust Continual Relation Extraction Tongtong Wu Xuekai Li Yuan-Fang Li Reza Haffari Guilin Qi Yujin Zhu Guoqiang Xu CLL 43 67 0 06 Jan 2021
When Do Curricula Work? Xiaoxia Wu Ethan Dyer Behnam Neyshabur 33 114 0 05 Dec 2020
Overcoming Catastrophic Forgetting via Direction-Constrained Optimization Yunfei Teng A. Choromańska Murray Campbell Songtao Lu Parikshit Ram L. Horesh CLL 34 2 0 25 Nov 2020
Generalized Variational Continual Learning Noel Loo S. Swaroop Richard Turner BDL CLL 33 58 0 24 Nov 2020
Linear Mode Connectivity in Multitask and Continual Learning Seyed Iman Mirzadeh Mehrdad Farajtabar Dilan Görür Razvan Pascanu H. Ghasemzadeh CLL 37 139 0 09 Oct 2020
Learnable Uncertainty under Laplace Approximations Agustinus Kristiadi Matthias Hein Philipp Hennig UQCV BDL 22 30 0 06 Oct 2020
Disentangle-based Continual Graph Representation Learning Xiaoyu Kou Yankai Lin Shaobo Liu Peng Li Jie Zhou Yan Zhang CLL 15 32 0 06 Oct 2020
The Effectiveness of Memory Replay in Large Scale Continual Learning Yogesh Balaji Mehrdad Farajtabar Dong Yin Alex Mott Ang Li 32 38 0 06 Oct 2020
Task Agnostic Continual Learning Using Online Variational Bayes with Fixed-Point Updates Chen Zeno Itay Golan Elad Hoffer Daniel Soudry OOD FedML 19 46 0 01 Oct 2020
Continual Model-Based Reinforcement Learning with Hypernetworks Yizhou Huang Kevin Xie Homanga Bharadhwaj Florian Shkurti CLL 27 46 0 25 Sep 2020
Online Class-Incremental Continual Learning with Adversarial Shapley Value Dongsub Shim Zheda Mai Jihwan Jeong Scott Sanner Hyunwoo J. Kim Jongseong Jang CLL 13 6 0 31 Aug 2020
Memory Efficient Class-Incremental Learning for Image Classification Hanbin Zhao Haibo Wang Yongjian Fu Fei Wu Xi Li CLL VLM 19 72 0 04 Aug 2020
Disentangling the Gauss-Newton Method and Approximate Inference for Neural Networks Alexander Immer BDL 19 4 0 21 Jul 2020
Drinking from a Firehose: Continual Learning with Web-scale Natural Language Hexiang Hu Ozan Sener Fei Sha V. Koltun CLL 35 27 0 18 Jul 2020
Anatomy of Catastrophic Forgetting: Hidden Representations and Task Semantics V. Ramasesh Ethan Dyer M. Raghu CLL 29 174 0 14 Jul 2020
Lifelong Policy Gradient Learning of Factored Policies for Faster Training Without Forgetting Jorge Armando Mendez Mendez Boyu Wang Eric Eaton CLL 36 38 0 14 Jul 2020
Hands-on Bayesian Neural Networks -- a Tutorial for Deep Learning Users Laurent Valentin Jospin Wray Buntine F. Boussaïd Hamid Laga Bennamoun OOD BDL UQCV 29 611 0 14 Jul 2020
Graph-Based Continual Learning Binh Tang David S. Matteson BDL CLL 34 37 0 09 Jul 2020
Continual Learning: Tackling Catastrophic Forgetting in Deep Neural Networks with Replay Processes Timothée Lesort CLL 29 22 0 01 Jul 2020
Enabling Continual Learning with Differentiable Hebbian Plasticity Vithursan Thangarasa Thomas Miconi Graham W. Taylor CLL 36 14 0 30 Jun 2020
MgSvF: Multi-Grained Slow vs. Fast Framework for Few-Shot Class-Incremental Learning Hanbin Zhao Yongjian Fu Mintong Kang Qi Tian Fei Wu Xi Li CLL 31 98 0 28 Jun 2020
Continual Learning from the Perspective of Compression Xu He Min Lin CLL 16 3 0 26 Jun 2020
Generalisation Guarantees for Continual Learning with Orthogonal Gradient Descent Mehdi Abbana Bennani Thang Doan Masashi Sugiyama CLL 50 61 0 21 Jun 2020
Estimating Model Uncertainty of Neural Networks in Sparse Information Form Jongseo Lee Matthias Humt Jianxiang Feng Rudolph Triebel BDL UQCV 38 46 0 20 Jun 2020
Optimization and Generalization of Regularization-Based Continual Learning: a Loss Approximation Viewpoint Dong Yin Mehrdad Farajtabar Ang Li Nir Levine Alex Mott CLL 24 21 0 19 Jun 2020
Understanding the Role of Training Regimes in Continual Learning Seyed Iman Mirzadeh Mehrdad Farajtabar Razvan Pascanu H. Ghasemzadeh CLL 21 219 0 12 Jun 2020
Unifying Regularisation Methods for Continual Learning Frederik Benzing CLL 18 8 0 11 Jun 2020
Variational Auto-Regressive Gaussian Processes for Continual Learning Sanyam Kapoor Theofanis Karaletsos T. Bui BDL 14 24 0 09 Jun 2020
Optimal Continual Learning has Perfect Memory and is NP-hard Jeremias Knoblauch Hisham Husain Tom Diethe CLL 38 104 0 09 Jun 2020
Addressing Catastrophic Forgetting in Few-Shot Problems Pauching Yap H. Ritter David Barber CLL BDL 11 19 0 30 Apr 2020
Continual Deep Learning by Functional Regularisation of Memorable Past Pingbo Pan S. Swaroop Alexander Immer Runa Eschenhagen Richard Turner Mohammad Emtiyaz Khan KELM CLL 17 141 0 29 Apr 2020
Continual Learning using a Bayesian Nonparametric Dictionary of Weight Factors Nikhil Mehta Kevin J. Liang Vinay K Verma Lawrence Carin CLL 43 5 0 21 Apr 2020
Continual Learning with Extended Kronecker-factored Approximate Curvature Janghyeon Lee H. Hong Donggyu Joo Junmo Kim CLL 20 52 0 16 Apr 2020
A Graph Convolutional Topic Model for Short and Noisy Text Streams Ngo Van Linh Tran Xuan Bach Khoat Than 12 1 0 13 Mar 2020
Residual Continual Learning Janghyeon Lee Donggyu Joo H. Hong Junmo Kim CLL 20 23 0 17 Feb 2020
Overcoming Long-term Catastrophic Forgetting through Adversarial Neural Pruning and Synaptic Consolidation Jian-wei Peng Bo Tang Jiang Hao Zhuo Li Yinjie Lei Tao R. Lin Haifeng Li AAML CLL 33 36 0 19 Dec 2019
Regularization Shortcomings for Continual Learning Timothée Lesort Andrei Stoian David Filliat CLL 21 50 0 06 Dec 2019
Hierarchical Indian Buffet Neural Networks for Bayesian Continual Learning Samuel Kessler Vu Nguyen S. Zohren Stephen J. Roberts BDL 16 23 0 04 Dec 2019
A Novel Unsupervised Post-Processing Calibration Method for DNNS with Robustness to Domain Shift A. Mozafari H. Gomes Christian Gagné 19 0 0 25 Nov 2019
Measuring Uncertainty through Bayesian Learning of Deep Neural Network Structure Zhijie Deng Yucen Luo Jun Zhu Bo Zhang UQCV BDL 19 2 0 22 Nov 2019
A Conceptual Framework for Lifelong Learning Charles X. Ling Tanner A. Bohn CLL 25 3 0 21 Nov 2019
Orthogonal Gradient Descent for Continual Learning Mehrdad Farajtabar Navid Azizan Alex Mott Ang Li CLL 39 352 0 15 Oct 2019
Compacting, Picking and Growing for Unforgetting Continual Learning Steven C. Y. Hung Cheng-Hao Tu Cheng-En Wu Chien-Hung Chen Yi-Ming Chan Chu-Song Chen CLL 41 301 0 15 Oct 2019
REMIND Your Neural Network to Prevent Catastrophic Forgetting Tyler L. Hayes Kushal Kafle Robik Shrestha Manoj Acharya Christopher Kanan CLL 31 295 0 06 Oct 2019
Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis Tyler L. Hayes Christopher Kanan CLL 27 141 0 04 Sep 2019
Toward Understanding Catastrophic Forgetting in Continual Learning Cuong V Nguyen Alessandro Achille Michael Lam Tal Hassner Vijay Mahadevan Stefano Soatto 16 89 0 02 Aug 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 24 248 0 29 Jun 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 19 94 0 12 Jun 2019
Continual learning with hypernetworks J. Oswald Christian Henning Benjamin Grewe João Sacramento CLL 21 349 0 03 Jun 2019