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Continual Learning for Robotics: Definition, Framework, Learning
  Strategies, Opportunities and Challenges
v1v2v3 (latest)

Continual Learning for Robotics: Definition, Framework, Learning Strategies, Opportunities and Challenges

29 June 2019
Timothée Lesort
Vincenzo Lomonaco
Andrei Stoian
Davide Maltoni
David Filliat
Natalia Díaz Rodríguez
    CLL
ArXiv (abs)PDFHTML

Papers citing "Continual Learning for Robotics: Definition, Framework, Learning Strategies, Opportunities and Challenges"

50 / 101 papers shown
Title
Strategy Discovery and Mixture in Lifelong Learning from Heterogeneous
  Demonstration
Strategy Discovery and Mixture in Lifelong Learning from Heterogeneous Demonstration
Sravan Jayanthi
Letian Chen
Matthew C. Gombolay
48
0
0
14 Feb 2022
Continual Coarse-to-Fine Domain Adaptation in Semantic Segmentation
Continual Coarse-to-Fine Domain Adaptation in Semantic Segmentation
Donald Shenaj
F. Barbato
Umberto Michieli
Pietro Zanuttigh
CLL
80
17
0
18 Jan 2022
Ex-Model: Continual Learning from a Stream of Trained Models
Ex-Model: Continual Learning from a Stream of Trained Models
Antonio Carta
Andrea Cossu
Vincenzo Lomonaco
D. Bacciu
CLL
47
12
0
13 Dec 2021
Is Class-Incremental Enough for Continual Learning?
Is Class-Incremental Enough for Continual Learning?
Andrea Cossu
G. Graffieti
Lorenzo Pellegrini
Davide Maltoni
D. Bacciu
Antonio Carta
Vincenzo Lomonaco
CLL
96
30
0
06 Dec 2021
Non-IID data and Continual Learning processes in Federated Learning: A
  long road ahead
Non-IID data and Continual Learning processes in Federated Learning: A long road ahead
Marcos F. Criado
F. Casado
R. Iglesias
Carlos V. Regueiro
S. Barro
FedML
80
79
0
26 Nov 2021
Sustainable Artificial Intelligence through Continual Learning
Sustainable Artificial Intelligence through Continual Learning
Andrea Cossu
M. Ziosi
Vincenzo Lomonaco
CLL
39
6
0
17 Nov 2021
Continual Adaptation of Semantic Segmentation using Complementary 2D-3D
  Data Representations
Continual Adaptation of Semantic Segmentation using Complementary 2D-3D Data Representations
Jonas Frey
Hermann Blum
Francesco Milano
Roland Siegwart
Cesar Cadena
113
13
0
03 Nov 2021
BioGrad: Biologically Plausible Gradient-Based Learning for Spiking
  Neural Networks
BioGrad: Biologically Plausible Gradient-Based Learning for Spiking Neural Networks
Guangzhi Tang
Neelesh Kumar
Ioannis E. Polykretis
Konstantinos Michmizos
46
6
0
27 Oct 2021
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
75
36
0
07 Oct 2021
Recent Advances of Continual Learning in Computer Vision: An Overview
Recent Advances of Continual Learning in Computer Vision: An Overview
Haoxuan Qu
Hossein Rahmani
Li Xu
Bryan M. Williams
Jun Liu
VLMCLL
136
77
0
23 Sep 2021
AirLoop: Lifelong Loop Closure Detection
AirLoop: Lifelong Loop Closure Detection
Dasong Gao
Chen Wang
Sebastian Scherer
65
16
0
18 Sep 2021
Catastrophic Interference in Reinforcement Learning: A Solution Based on
  Context Division and Knowledge Distillation
Catastrophic Interference in Reinforcement Learning: A Solution Based on Context Division and Knowledge Distillation
Tiantian Zhang
Xueqian Wang
Bin Liang
Bo Yuan
OffRL
80
18
0
01 Sep 2021
RECALL: Replay-based Continual Learning in Semantic Segmentation
RECALL: Replay-based Continual Learning in Semantic Segmentation
Andrea Maracani
Umberto Michieli
Marco Toldo
Pietro Zanuttigh
VLMCLL
107
116
0
08 Aug 2021
CRIL: Continual Robot Imitation Learning via Generative and Prediction
  Model
CRIL: Continual Robot Imitation Learning via Generative and Prediction Model
Chongkai Gao
Haichuan Gao
Shangqi Guo
Tianren Zhang
Feng Chen
78
27
0
17 Jun 2021
Concept drift detection and adaptation for federated and continual
  learning
Concept drift detection and adaptation for federated and continual learning
F. Casado
Dylan Lema
Marcos F. Criado
R. Iglesias
Carlos V. Regueiro
S. Barro
FedML
79
64
0
27 May 2021
Continual Learning with Echo State Networks
Continual Learning with Echo State Networks
Andrea Cossu
D. Bacciu
Antonio Carta
Claudio Gallicchio
Vincenzo Lomonaco
CLL
37
13
0
17 May 2021
Self-Improving Semantic Perception for Indoor Localisation
Self-Improving Semantic Perception for Indoor Localisation
Hermann Blum
Francesco Milano
René Zurbrugg
Roland Siegward
Cesar Cadena
Abel Gawel
104
8
0
04 May 2021
EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep
  learning representations with expert knowledge graphs: the MonuMAI cultural
  heritage use case
EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: the MonuMAI cultural heritage use case
Natalia Díaz Rodríguez
Alberto Lamas
Jules Sanchez
Gianni Franchi
Ivan Donadello
Siham Tabik
David Filliat
P. Cruz
Rosana Montes
Francisco Herrera
136
78
0
24 Apr 2021
Overcoming Catastrophic Forgetting with Gaussian Mixture Replay
Overcoming Catastrophic Forgetting with Gaussian Mixture Replay
Benedikt Pfülb
A. Gepperth
VLMBDL
45
13
0
19 Apr 2021
Avalanche: an End-to-End Library for Continual Learning
Avalanche: an End-to-End Library for Continual Learning
Vincenzo Lomonaco
Lorenzo Pellegrini
Andrea Cossu
Antonio Carta
G. Graffieti
...
Christopher Kanan
Joost van de Weijer
Tinne Tuytelaars
D. Bacciu
Davide Maltoni
BDLAI4TS
115
187
0
01 Apr 2021
Distilled Replay: Overcoming Forgetting through Synthetic Samples
Distilled Replay: Overcoming Forgetting through Synthetic Samples
Andrea Rosasco
Antonio Carta
Andrea Cossu
Vincenzo Lomonaco
D. Bacciu
DD
75
49
0
29 Mar 2021
Self-Supervised Training Enhances Online Continual Learning
Self-Supervised Training Enhances Online Continual Learning
Jhair Gallardo
Tyler L. Hayes
Christopher Kanan
CLL
101
68
0
25 Mar 2021
F-SIOL-310: A Robotic Dataset and Benchmark for Few-Shot Incremental
  Object Learning
F-SIOL-310: A Robotic Dataset and Benchmark for Few-Shot Incremental Object Learning
Ali Ayub
Alan R. Wagner
CLL
103
12
0
23 Mar 2021
Towards Fair Affective Robotics: Continual Learning for Mitigating Bias
  in Facial Expression and Action Unit Recognition
Towards Fair Affective Robotics: Continual Learning for Mitigating Bias in Facial Expression and Action Unit Recognition
Ozgur Kara
Nikhil Churamani
Hatice Gunes
29
12
0
15 Mar 2021
SpikeDyn: A Framework for Energy-Efficient Spiking Neural Networks with
  Continual and Unsupervised Learning Capabilities in Dynamic Environments
SpikeDyn: A Framework for Energy-Efficient Spiking Neural Networks with Continual and Unsupervised Learning Capabilities in Dynamic Environments
Rachmad Vidya Wicaksana Putra
Mohamed Bennai
66
33
0
28 Feb 2021
Online Continual Learning in Image Classification: An Empirical Survey
Online Continual Learning in Image Classification: An Empirical Survey
Zheda Mai
Ruiwen Li
Jihwan Jeong
David Quispe
Hyunwoo J. Kim
Scott Sanner
VLMCLL
140
422
0
25 Jan 2021
Towards Recognizing New Semantic Concepts in New Visual Domains
Towards Recognizing New Semantic Concepts in New Visual Domains
Massimiliano Mancini
OOD
141
0
0
16 Dec 2020
Knowledge Capture and Replay for Continual Learning
Knowledge Capture and Replay for Continual Learning
Saisubramaniam Gopalakrishnan
Pranshu Ranjan Singh
Haytham M. Fayek
Savitha Ramasamy
Arulmurugan Ambikapathi
CLL
78
18
0
12 Dec 2020
Deep Transfer Learning for Industrial Automation: A Review and
  Discussion of New Techniques for Data-Driven Machine Learning
Deep Transfer Learning for Industrial Automation: A Review and Discussion of New Techniques for Data-Driven Machine Learning
Benjamin Maschler
M. Weyrich
49
78
0
06 Dec 2020
3D_DEN: Open-ended 3D Object Recognition using Dynamically Expandable
  Networks
3D_DEN: Open-ended 3D Object Recognition using Dynamically Expandable Networks
Sudhakaran Jain
Hamidreza Kasaei
3DPC
18
4
0
15 Sep 2020
CVPR 2020 Continual Learning in Computer Vision Competition: Approaches,
  Results, Current Challenges and Future Directions
CVPR 2020 Continual Learning in Computer Vision Competition: Approaches, Results, Current Challenges and Future Directions
Vincenzo Lomonaco
Lorenzo Pellegrini
Pau Rodríguez López
Massimo Caccia
Qi She
...
G. I. Parisi
Nikhil Churamani
Marc Pickett
I. Laradji
Davide Maltoni
CLL
78
45
0
14 Sep 2020
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
Martin Mundt
Yongjun Hong
Iuliia Pliushch
Visvanathan Ramesh
CLL
142
153
0
03 Sep 2020
Explainability in Deep Reinforcement Learning
Explainability in Deep Reinforcement Learning
Alexandre Heuillet
Fabien Couthouis
Natalia Díaz Rodríguez
XAI
241
283
0
15 Aug 2020
Mind Your Manners! A Dataset and A Continual Learning Approach for
  Assessing Social Appropriateness of Robot Actions
Mind Your Manners! A Dataset and A Continual Learning Approach for Assessing Social Appropriateness of Robot Actions
Jonas Tjomsland
Sinan Kalkan
Hatice Gunes
66
20
0
24 Jul 2020
On Class Orderings for Incremental Learning
On Class Orderings for Incremental Learning
Marc Masana
Bartlomiej Twardowski
Joost van de Weijer
CLL
63
15
0
04 Jul 2020
Gradient-based Editing of Memory Examples for Online Task-free Continual
  Learning
Gradient-based Editing of Memory Examples for Online Task-free Continual Learning
Xisen Jin
Arka Sadhu
Junyi Du
Xiang Ren
CLLKELMBDL
76
99
0
27 Jun 2020
Semi-Discriminative Representation Loss for Online Continual Learning
Semi-Discriminative Representation Loss for Online Continual Learning
Yu Chen
Tom Diethe
Peter A. Flach
CLL
21
0
0
19 Jun 2020
Federated and continual learning for classification tasks in a society
  of devices
Federated and continual learning for classification tasks in a society of devices
F. Casado
Dylan Lema
R. Iglesias
Carlos V. Regueiro
S. Barro
FedML
74
2
0
12 Jun 2020
Should artificial agents ask for help in human-robot collaborative
  problem-solving?
Should artificial agents ask for help in human-robot collaborative problem-solving?
Adrien Bennetot
V. Charisi
Natalia Díaz Rodríguez
54
8
0
25 May 2020
DREAM Architecture: a Developmental Approach to Open-Ended Learning in
  Robotics
DREAM Architecture: a Developmental Approach to Open-Ended Learning in Robotics
Stéphane Doncieux
Nicolas Bredèche
L. L. Goff
Benoît Girard
Alexandre Coninx
...
Natalia Díaz Rodríguez
David Filliat
Timothy M. Hospedales
A. E. Eiben
Richard J. Duro
75
19
0
13 May 2020
The Ingredients of Real-World Robotic Reinforcement Learning
The Ingredients of Real-World Robotic Reinforcement Learning
Henry Zhu
Justin Yu
Abhishek Gupta
Dhruv Shah
Kristian Hartikainen
Avi Singh
Vikash Kumar
Sergey Levine
OffRL
155
181
0
27 Apr 2020
Defining Benchmarks for Continual Few-Shot Learning
Defining Benchmarks for Continual Few-Shot Learning
Antreas Antoniou
Massimiliano Patacchiola
Mateusz Ochal
Amos Storkey
56
38
0
15 Apr 2020
Online Continual Learning on Sequences
Online Continual Learning on Sequences
G. I. Parisi
Vincenzo Lomonaco
CLL
56
25
0
20 Mar 2020
Online Fast Adaptation and Knowledge Accumulation: a New Approach to
  Continual Learning
Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning
Massimo Caccia
Pau Rodríguez López
O. Ostapenko
Fabrice Normandin
Min Lin
...
I. Laradji
Irina Rish
Alexande Lacoste
David Vazquez
Laurent Charlin
CLLKELM
70
66
0
12 Mar 2020
Automatic Curriculum Learning For Deep RL: A Short Survey
Automatic Curriculum Learning For Deep RL: A Short Survey
Rémy Portelas
Cédric Colas
Lilian Weng
Katja Hofmann
Pierre-Yves Oudeyer
ODL
114
176
0
10 Mar 2020
Regularization Shortcomings for Continual Learning
Regularization Shortcomings for Continual Learning
Timothée Lesort
Andrei Stoian
David Filliat
CLL
85
50
0
06 Dec 2019
Latent Replay for Real-Time Continual Learning
Latent Replay for Real-Time Continual Learning
Lorenzo Pellegrini
G. Graffieti
Vincenzo Lomonaco
Davide Maltoni
CLL
98
167
0
02 Dec 2019
Knowledge Distillation for Incremental Learning in Semantic Segmentation
Knowledge Distillation for Incremental Learning in Semantic Segmentation
Umberto Michieli
Pietro Zanuttigh
CLLVLM
99
100
0
08 Nov 2019
A continual learning survey: Defying forgetting in classification tasks
A continual learning survey: Defying forgetting in classification tasks
Matthias De Lange
Rahaf Aljundi
Marc Masana
Sarah Parisot
Xu Jia
A. Leonardis
Greg Slabaugh
Tinne Tuytelaars
CLLKELM
81
246
0
18 Sep 2019
DisCoRL: Continual Reinforcement Learning via Policy Distillation
DisCoRL: Continual Reinforcement Learning via Policy Distillation
Kalifou René Traoré
Hugo Caselles-Dupré
Timothée Lesort
Te Sun
Guanghang Cai
Natalia Díaz Rodríguez
David Filliat
OffRL
89
61
0
11 Jul 2019
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