Keep and Learn: Continual Learning by Constraining the Latent Space for Knowledge Preservation in Neural Networks

28 May 2018

Papers citing "Keep and Learn: Continual Learning by Constraining the Latent Space for Knowledge Preservation in Neural Networks"

8 / 8 papers shown

Title
Evaluation of Regularization-based Continual Learning Approaches: Application to HAR B. Kann Sandra Castellanos-Paez P. Lalanda 16 3 0 26 Apr 2023
Learning Federated Visual Prompt in Null Space for MRI Reconstruction Chun-Mei Feng Bangjun Li Xinxing Xu Yong Liu Huazhu Fu W. Zuo FedML 32 42 0 28 Mar 2023
Discriminative Distillation to Reduce Class Confusion in Continual Learning Changhong Zhong Z. Cui Ruixuan Wang Weishi Zheng 23 1 0 11 Aug 2021
Precision-Weighted Federated Learning Jonatan Reyes Di-Jorio Lisa Cécile Low-Kam Marta Kersten-Oertel FedML 16 35 0 20 Jul 2021
Deep Learning for Chest X-ray Analysis: A Survey Ecem Sogancioglu E. Çallı Bram van Ginneken K. G. V. Leeuwen K. Murphy LM&MA 24 316 0 15 Mar 2021
Overcoming Catastrophic Forgetting by Neuron-level Plasticity Control Inyoung Paik Sangjun Oh Taeyeong Kwak Injung Kim CLL 37 49 0 31 Jul 2019
Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild Kibok Lee Kimin Lee Jinwoo Shin Honglak Lee CLL 43 201 0 29 Mar 2019
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,748 0 26 Sep 2016