Re-evaluating Continual Learning Scenarios: A Categorization and Case for Strong Baselines

30 October 2018

Papers citing "Re-evaluating Continual Learning Scenarios: A Categorization and Case for Strong Baselines"

35 / 85 papers shown

Title
Target Layer Regularization for Continual Learning Using Cramer-Wold Generator Marcin Mazur Lukasz Pustelnik Szymon Knop Patryk Pagacz Przemysław Spurek 30 2 0 15 Nov 2021
One Pass ImageNet Huiyi Hu Ang Li Daniele Calandriello Dilan Görür VLM 13 18 0 03 Nov 2021
CORA: Benchmarks, Baselines, and Metrics as a Platform for Continual Reinforcement Learning Agents Sam Powers Eliot Xing Eric Kolve Roozbeh Mottaghi Abhinav Gupta OffRL 36 38 0 19 Oct 2021
Powerpropagation: A sparsity inducing weight reparameterisation Jonathan Richard Schwarz Siddhant M. Jayakumar Razvan Pascanu P. Latham Yee Whye Teh 92 54 0 01 Oct 2021
Saliency Guided Experience Packing for Replay in Continual Learning Gobinda Saha Kaushik Roy VLM KELM CLL 94 22 0 10 Sep 2021
Principal Gradient Direction and Confidence Reservoir Sampling for Continual Learning Zhiyi Chen Tong Lin CLL 26 1 0 21 Aug 2021
Online Continual Learning For Visual Food Classification Jiangpeng He F. Zhu CLL 35 47 0 15 Aug 2021
An Investigation of Replay-based Approaches for Continual Learning Benedikt Bagus A. Gepperth CLL 33 33 0 15 Aug 2021
DIODE: Dilatable Incremental Object Detection Can Peng Kun-li Zhao Sam Maksoud Tianren Wang Brian C. Lovell CLL ObjD 27 9 0 12 Aug 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 27 19 0 24 Jun 2021
Always Be Dreaming: A New Approach for Data-Free Class-Incremental Learning James Smith Yen-Chang Hsu John C. Balloch Yilin Shen Hongxia Jin Z. Kira CLL 60 162 0 17 Jun 2021
Dynamic Gradient Aggregation for Federated Domain Adaptation Dimitrios Dimitriadis K. Kumatani R. Gmyr Yashesh Gaur Sefik Emre Eskimez FedML 26 5 0 14 Jun 2021
Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning Liangqiong Qu Yuyin Zhou Paul Pu Liang Yingda Xia Feifei Wang Ehsan Adeli L. Fei-Fei D. Rubin FedML AI4CE 19 176 0 10 Jun 2021
Schematic Memory Persistence and Transience for Efficient and Robust Continual Learning Yuyang Gao Giorgio Ascoli Liang Zhao 27 4 0 05 May 2021
Class-Incremental Learning with Generative Classifiers Gido M. van de Ven Zhe Li A. Tolias BDL 50 58 0 20 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 36 181 0 01 Apr 2021
Efficient Feature Transformations for Discriminative and Generative Continual Learning Vinay Kumar Verma Kevin J Liang Nikhil Mehta Piyush Rai Lawrence Carin CLL 43 76 0 25 Mar 2021
Balanced softmax cross-entropy for incremental learning with and without memory Quentin Jodelet Xin Liu T. Murata CLL 30 25 0 23 Mar 2021
Gradient Projection Memory for Continual Learning Gobinda Saha Isha Garg Kaushik Roy VLM CLL 47 269 0 17 Mar 2021
Training Networks in Null Space of Feature Covariance for Continual Learning Shipeng Wang Xiaorong Li Jian Sun Zongben Xu CLL 31 132 0 12 Mar 2021
Regularization-based Continual Learning for Anomaly Detection in Discrete Manufacturing Benjamin Maschler T. Pham M. Weyrich 38 32 0 02 Jan 2021
Deep Transfer Learning for Industrial Automation: A Review and Discussion of New Techniques for Data-Driven Machine Learning Benjamin Maschler M. Weyrich 21 77 0 06 Dec 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
Federated Transfer Learning with Dynamic Gradient Aggregation Dimitrios Dimitriadis K. Kumatani R. Gmyr Yashesh Gaur Sefik Emre Eskimez FedML 24 15 0 06 Aug 2020
Graph-Based Continual Learning Binh Tang David S. Matteson BDL CLL 29 37 0 09 Jul 2020
Gradient-based Editing of Memory Examples for Online Task-free Continual Learning Xisen Jin Arka Sadhu Junyi Du Xiang Ren CLL KELM BDL 28 96 0 27 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
Self-Supervised Learning Aided Class-Incremental Lifelong Learning Song Zhang Gehui Shen Jinsong Huang Zhihong Deng CLL 33 14 0 10 Jun 2020
iTAML: An Incremental Task-Agnostic Meta-learning Approach Jathushan Rajasegaran Salman Khan Munawar Hayat Fahad Shahbaz Khan M. Shah CLL OOD 30 153 0 25 Mar 2020
A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning Soochan Lee Junsoo Ha Dongsu Zhang Gunhee Kim BDL CLL 16 209 0 03 Jan 2020
Maintaining Discrimination and Fairness in Class Incremental Learning Bowen Zhao Xi Xiao Guojun Gan Bin Zhang Shutao Xia CLL 23 416 0 16 Nov 2019
Meta-learnt priors slow down catastrophic forgetting in neural networks G. Spigler CLL 19 10 0 09 Sep 2019
Visualizing the PHATE of Neural Networks Scott A. Gigante Adam S. Charles Smita Krishnaswamy Gal Mishne 36 37 0 07 Aug 2019
Continual Learning of New Sound Classes using Generative Replay Zhepei Wang Y. C. Sübakan Efthymios Tzinis Paris Smaragdis Laurent Charlin VLM 21 23 0 03 Jun 2019
Task-Free Continual Learning Rahaf Aljundi Klaas Kelchtermans Tinne Tuytelaars CLL 26 354 0 10 Dec 2018