Continual Learning by Asymmetric Loss Approximation with Single-Side
Overestimation

Continual Learning by Asymmetric Loss Approximation with Single-Side Overestimation

8 August 2019

Kyoung Mu Lee

Papers citing "Continual Learning by Asymmetric Loss Approximation with Single-Side Overestimation"

8 / 8 papers shown

Title
Continual Learning via Sequential Function-Space Variational Inference Tim G. J. Rudner Freddie Bickford-Smith Qixuan Feng Yee Whye Teh Y. Gal 35 39 0 28 Dec 2023
Evolving Knowledge Mining for Class Incremental Segmentation Zhihe Lu Shuicheng Yan Xinchao Wang CLL 46 0 0 03 Jun 2023
Self-Activating Neural Ensembles for Continual Reinforcement Learning Sam Powers Eliot Xing Abhinav Gupta KELM CLL 43 5 0 31 Dec 2022
Representation Compensation Networks for Continual Semantic Segmentation Chang-Bin Zhang Jianqiang Xiao Xialei Liu Ying-Cong Chen Mingg-Ming Cheng SSeg CLL 55 93 0 10 Mar 2022
SIRe-Networks: Convolutional Neural Networks Architectural Extension for Information Preservation via Skip/Residual Connections and Interlaced Auto-Encoders D. Avola Luigi Cinque Alessio Fagioli G. Foresti 35 3 0 06 Oct 2021
Recent Advances of Continual Learning in Computer Vision: An Overview Haoxuan Qu Hossein Rahmani Li Xu Bryan M. Williams Jun Liu VLM CLL 30 73 0 23 Sep 2021
A Wholistic View of Continual Learning with Deep Neural Networks: Forgotten Lessons and the Bridge to Active and Open World Learning Martin Mundt Yongjun Hong Iuliia Pliushch Visvanathan Ramesh CLL 35 147 0 03 Sep 2020
Continual Learning with Extended Kronecker-factored Approximate Curvature Janghyeon Lee H. Hong Donggyu Joo Junmo Kim CLL 25 52 0 16 Apr 2020