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1905.08101
Cited By
A comprehensive, application-oriented study of catastrophic forgetting in DNNs
20 May 2019
Benedikt Pfülb
A. Gepperth
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Papers citing
"A comprehensive, application-oriented study of catastrophic forgetting in DNNs"
19 / 19 papers shown
Title
Towards Robust Graph Incremental Learning on Evolving Graphs
Junwei Su
Difan Zou
Zijun Zhang
Chuan Wu
CLL
OOD
45
18
0
20 Feb 2024
Benchmarking Continual Learning from Cognitive Perspectives
Xiaoqian Liu
Junge Zhang
Mingyi Zhang
Peipei Yang
23
0
0
06 Dec 2023
Open-environment Machine Learning
Zhi-Hua Zhou
VLM
37
133
0
01 Jun 2022
Exploring System Performance of Continual Learning for Mobile and Embedded Sensing Applications
Young D. Kwon
Jagmohan Chauhan
Abhishek Kumar
Pan Hui
Cecilia Mascolo
CLL
HAI
33
32
0
25 Oct 2021
CLEVA-Compass: A Continual Learning EValuation Assessment Compass to Promote Research Transparency and Comparability
Martin Mundt
Steven Braun
Quentin Delfosse
Kristian Kersting
27
35
0
07 Oct 2021
An Investigation of Replay-based Approaches for Continual Learning
Benedikt Bagus
A. Gepperth
CLL
38
33
0
15 Aug 2021
FastICARL: Fast Incremental Classifier and Representation Learning with Efficient Budget Allocation in Audio Sensing Applications
Young D. Kwon
Jagmohan Chauhan
Cecilia Mascolo
HAI
27
16
0
14 Jun 2021
Continual Learning in Sensor-based Human Activity Recognition: an Empirical Benchmark Analysis
Saurav Jha
Martin Schiemer
F. Zambonelli
Juan Ye
23
48
0
19 Apr 2021
Overcoming Catastrophic Forgetting with Gaussian Mixture Replay
Benedikt Pfülb
A. Gepperth
VLM
BDL
32
12
0
19 Apr 2021
RoRD: Rotation-Robust Descriptors and Orthographic Views for Local Feature Matching
Udit Singh Parihar
Aniket Gujarathi
K. Mehta
Satyajit Tourani
Sourav Garg
Michael Milford
K. M. Krishna
26
29
0
15 Mar 2021
AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem?
Jun Ma
Yao Zhang
Song Gu
Cheng Zhu
Cheng Ge
...
Shangqing Liu
Yunpeng Wang
Yuhui Li
Jian He
Xiaoping Yang
SSeg
OOD
26
328
0
28 Oct 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
30
146
0
03 Sep 2020
RATT: Recurrent Attention to Transient Tasks for Continual Image Captioning
Riccardo Del Chiaro
Bartlomiej Twardowski
Andrew D. Bagdanov
Joost van de Weijer
CLL
VLM
30
40
0
13 Jul 2020
Continual Learning with Extended Kronecker-factored Approximate Curvature
Janghyeon Lee
H. Hong
Donggyu Joo
Junmo Kim
CLL
20
52
0
16 Apr 2020
iTAML: An Incremental Task-Agnostic Meta-learning Approach
Jathushan Rajasegaran
Salman Khan
Munawar Hayat
Fahad Shahbaz Khan
M. Shah
CLL
OOD
30
153
0
25 Mar 2020
A Study of Deep Learning for Network Traffic Data Forecasting
Benedikt Pfülb
Christoph Hardegen
A. Gepperth
Sebastian Rieger
11
14
0
10 Sep 2019
Continual Learning for Robotics: Definition, Framework, Learning Strategies, Opportunities and Challenges
Timothée Lesort
Vincenzo Lomonaco
Andrei Stoian
Davide Maltoni
David Filliat
Natalia Díaz Rodríguez
CLL
24
248
0
29 Jun 2019
Selfless Sequential Learning
Rahaf Aljundi
Marcus Rohrbach
Tinne Tuytelaars
CLL
33
114
0
14 Jun 2018
Towards Robust Evaluations of Continual Learning
Sebastian Farquhar
Y. Gal
CLL
28
305
0
24 May 2018
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