Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition

28 May 2019

Papers citing "Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition"

9 / 9 papers shown

Title
Managing the unknown: a survey on Open Set Recognition and tangential areas Marcos Barcina-Blanco J. Lobo Pablo Garcia-Bringas Javier Del Ser VLM 27 2 0 14 Dec 2023
ICICLE: Interpretable Class Incremental Continual Learning Dawid Rymarczyk Joost van de Weijer Bartosz Zieliñski Bartlomiej Twardowski CLL 19 28 0 14 Mar 2023
A Comprehensive Review of Trends, Applications and Challenges In Out-of-Distribution Detection Navid Ghassemi E. F. Ersi AAML OODD 15 4 0 26 Sep 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
BinPlay: A Binary Latent Autoencoder for Generative Replay Continual Learning Kamil Deja Pawel Wawrzyñski Daniel Marczak Wojciech Masarczyk Tomasz Trzciñski SyDa 11 9 0 25 Nov 2020
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 22 146 0 03 Sep 2020
GAN Memory with No Forgetting Yulai Cong Miaoyun Zhao Jianqiao Li Sijia Wang Lawrence Carin CLL 11 116 0 13 Jun 2020
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 225 2,543 0 25 Jan 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,134 0 06 Jun 2015