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A Wholistic View of Continual Learning with Deep Neural Networks:
  Forgotten Lessons and the Bridge to Active and Open World Learning

A Wholistic View of Continual Learning with Deep Neural Networks: Forgotten Lessons and the Bridge to Active and Open World Learning

3 September 2020
Martin Mundt
Yongjun Hong
Iuliia Pliushch
Visvanathan Ramesh
    CLL
ArXivPDFHTML

Papers citing "A Wholistic View of Continual Learning with Deep Neural Networks: Forgotten Lessons and the Bridge to Active and Open World Learning"

18 / 18 papers shown
Title
The Cake that is Intelligence and Who Gets to Bake it: An AI Analogy and its Implications for Participation
The Cake that is Intelligence and Who Gets to Bake it: An AI Analogy and its Implications for Participation
Martin Mundt
Anaelia Ovalle
Felix Friedrich
A Pranav
Subarnaduti Paul
Manuel Brack
Kristian Kersting
William Agnew
225
0
0
05 Feb 2025
Overcoming Catastrophic Forgetting by Exemplar Selection in
  Task-oriented Dialogue System
Overcoming Catastrophic Forgetting by Exemplar Selection in Task-oriented Dialogue System
Chen Chen
Ruizhe Li
Yuchen Hu
Yuanyuan Chen
Chengwei Qin
Qiang Zhang
CLL
37
1
0
16 May 2024
The State of Lithium-Ion Battery Health Prognostics in the CPS Era
The State of Lithium-Ion Battery Health Prognostics in the CPS Era
Gaurav Shinde
Rohan Mohapatra
Pooja Krishan
Harish Garg
Srikanth Prabhu
Sanchari Das
Mohammad Masum
Saptarshi Sengupta
32
1
0
28 Mar 2024
Open Continual Feature Selection via Granular-Ball Knowledge Transfer
Open Continual Feature Selection via Granular-Ball Knowledge Transfer
Xuemei Cao
Xin Yang
Shuyin Xia
Guoyin Wang
Tianrui Li
CLL
21
2
0
15 Mar 2024
Two Complementary Perspectives to Continual Learning: Ask Not Only What
  to Optimize, But Also How
Two Complementary Perspectives to Continual Learning: Ask Not Only What to Optimize, But Also How
Timm Hess
Tinne Tuytelaars
Gido M. van de Ven
31
7
0
08 Nov 2023
Few-Shot Open-Set Learning for On-Device Customization of KeyWord
  Spotting Systems
Few-Shot Open-Set Learning for On-Device Customization of KeyWord Spotting Systems
Manuele Rusci
Tinne Tuytelaars
22
5
0
03 Jun 2023
Continual Learning through Human-Robot Interaction: Human Perceptions of a Continual Learning Robot in Repeated Interactions
Continual Learning through Human-Robot Interaction: Human Perceptions of a Continual Learning Robot in Repeated Interactions
Ali Ayub
Zachary De Francesco
Patrick Holthaus
Chrystopher L. Nehaniv
Kerstin Dautenhahn
CLL
HAI
24
5
0
22 May 2023
Continual Reasoning: Non-Monotonic Reasoning in Neurosymbolic AI using
  Continual Learning
Continual Reasoning: Non-Monotonic Reasoning in Neurosymbolic AI using Continual Learning
Sofoklis Kyriakopoulos
Artur Garcez
NAI
LRM
21
0
0
03 May 2023
ICICLE: Interpretable Class Incremental Continual Learning
ICICLE: Interpretable Class Incremental Continual Learning
Dawid Rymarczyk
Joost van de Weijer
Bartosz Zieliñski
Bartlomiej Twardowski
CLL
16
28
0
14 Mar 2023
Progressive Latent Replay for efficient Generative Rehearsal
Progressive Latent Replay for efficient Generative Rehearsal
Stanislaw Pawlak
Filip Szatkowski
Michal Bortkiewicz
Jan Dubiñski
Tomasz Trzciñski
9
2
0
04 Jul 2022
The CLEAR Benchmark: Continual LEArning on Real-World Imagery
The CLEAR Benchmark: Continual LEArning on Real-World Imagery
Zhiqiu Lin
Jia Shi
Deepak Pathak
Deva Ramanan
CLL
VLM
137
91
0
17 Jan 2022
CLEVA-Compass: A Continual Learning EValuation Assessment Compass to
  Promote Research Transparency and Comparability
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
Opening up Open-World Tracking
Opening up Open-World Tracking
Yang Liu
Idil Esen Zulfikar
Jonathon Luiten
Achal Dave
Deva Ramanan
Bastian Leibe
Aljosa Osep
Laura Leal-Taixé
20
51
0
22 Apr 2021
Overcoming Catastrophic Forgetting with Gaussian Mixture Replay
Overcoming Catastrophic Forgetting with Gaussian Mixture Replay
Benedikt Pfülb
A. Gepperth
VLM
BDL
16
12
0
19 Apr 2021
Understanding Catastrophic Forgetting and Remembering in Continual
  Learning with Optimal Relevance Mapping
Understanding Catastrophic Forgetting and Remembering in Continual Learning with Optimal Relevance Mapping
Prakhar Kaushik
Alex Gain
Adam Kortylewski
Alan Yuille
CLL
11
68
0
22 Feb 2021
BinPlay: A Binary Latent Autoencoder for Generative Replay Continual
  Learning
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
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
247
9,109
0
06 Jun 2015
Deep convolutional filter banks for texture recognition and segmentation
Deep convolutional filter banks for texture recognition and segmentation
Mircea Cimpoi
Subhransu Maji
Andrea Vedaldi
3DV
34
53
0
25 Nov 2014
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