Understanding Continual Learning Settings with Data Distribution Drift Analysis

4 April 2021

Papers citing "Understanding Continual Learning Settings with Data Distribution Drift Analysis"

13 / 13 papers shown

Title
Robust Fast Adaptation from Adversarially Explicit Task Distribution Generation Cheems Wang Yiqin Lv Yixiu Mao Yun Qu Yi Tian Xu Xiangyang Ji OOD TTA 51 6 0 28 Jul 2024
A Comprehensive Review of Machine Learning Advances on Data Change: A Cross-Field Perspective Jeng-Lin Li Chih-Fan Hsu Ming-Ching Chang Wei-Chao Chen OOD 38 2 0 20 Feb 2024
I-WAS: a Data Augmentation Method with GPT-2 for Simile Detection Yongzhu Chang Rongsheng Zhang Jiashu Pu 30 1 0 08 Aug 2023
Continual Pre-Training of Large Language Models: How to (re)warm your model? Kshitij Gupta Benjamin Thérien Adam Ibrahim Mats L. Richter Quentin G. Anthony Eugene Belilovsky Irina Rish Timothée Lesort KELM 24 99 0 08 Aug 2023
Preventing Catastrophic Forgetting in Continual Learning of New Natural Language Tasks Sudipta Kar Giuseppe Castellucci Simone Filice S. Malmasi Oleg Rokhlenko CLL KELM 46 6 0 22 Feb 2023
A Compositional Approach to Creating Architecture Frameworks with an Application to Distributed AI Systems Hans-Martin Heyn E. Knauss Patrizio Pelliccione AI4CE 18 16 0 27 Dec 2022
Federated Continual Learning to Detect Accounting Anomalies in Financial Auditing Marco Schreyer Hamed Hemati Damian Borth M. Vasarhelyi FedML 34 3 0 26 Oct 2022
DIRA: Dynamic Domain Incremental Regularised Adaptation Abanoub Ghobrial Xu Zheng Darryl Hond Hamid Asgari Kerstin Eder AI4CE 18 1 0 30 Apr 2022
Graph Lifelong Learning: A Survey F. Febrinanto Feng Xia Kristen Moore Chandra Thapa Charu C. Aggarwal CLL AI4CE 37 50 0 22 Feb 2022
CLEVA-Compass: A Continual Learning EValuation Assessment Compass to Promote Research Transparency and Comparability Martin Mundt Steven Braun Quentin Delfosse Kristian Kersting 19 35 0 07 Oct 2021
New Insights on Reducing Abrupt Representation Change in Online Continual Learning Lucas Page-Caccia Rahaf Aljundi Nader Asadi Tinne Tuytelaars Joelle Pineau Eugene Belilovsky CLL 21 185 0 11 Apr 2021
Out-of-Distribution Generalization via Risk Extrapolation (REx) David M. Krueger Ethan Caballero J. Jacobsen Amy Zhang Jonathan Binas Dinghuai Zhang Rémi Le Priol Aaron Courville OOD 215 901 0 02 Mar 2020
Selfless Sequential Learning Rahaf Aljundi Marcus Rohrbach Tinne Tuytelaars CLL 26 114 0 14 Jun 2018