Continual Learning: Tackling Catastrophic Forgetting in Deep Neural Networks with Replay Processes

1 July 2020

Papers citing "Continual Learning: Tackling Catastrophic Forgetting in Deep Neural Networks with Replay Processes"

8 / 8 papers shown

Title
Continual Learning as Computationally Constrained Reinforcement Learning Saurabh Kumar Henrik Marklund Anand Srinivasa Rao Yifan Zhu Hong Jun Jeon Yueyang Liu Benjamin Van Roy CLL 27 22 0 10 Jul 2023
PaRT: Parallel Learning Towards Robust and Transparent AI Mahsa Paknezhad Hamsawardhini Rengarajan Chenghao Yuan Sujanya Suresh Manas Gupta Savitha Ramasamy Hwee Kuan Lee OOD 32 1 0 24 Jan 2022
Generative Feature-driven Image Replay for Continual Learning Kevin Thandiackal Tiziano Portenier Andrea Giovannini M. Gabrani O. Goksel CLL VLM DiffM 13 9 0 09 Jun 2021
Understanding Continual Learning Settings with Data Distribution Drift Analysis Timothée Lesort Massimo Caccia Irina Rish 25 55 0 04 Apr 2021
Deep Reinforcement Learning for Autonomous Driving: A Survey B. R. Kiran Ibrahim Sobh V. Talpaert Patrick Mannion A. A. Sallab S. Yogamani P. Pérez 165 1,630 0 02 Feb 2020
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 279 10,348 0 12 Dec 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 317 11,681 0 09 Mar 2017
Conditional Image Synthesis With Auxiliary Classifier GANs Augustus Odena C. Olah Jonathon Shlens GAN 238 3,190 0 30 Oct 2016