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Continual Lifelong Learning with Neural Networks: A Review

Continual Lifelong Learning with Neural Networks: A Review

21 February 2018
G. I. Parisi
Ronald Kemker
Jose L. Part
Christopher Kanan
S. Wermter
    KELM
    CLL
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Papers citing "Continual Lifelong Learning with Neural Networks: A Review"

50 / 440 papers shown
Title
A Comprehensive Survey of Image-Based Food Recognition and Volume
  Estimation Methods for Dietary Assessment
A Comprehensive Survey of Image-Based Food Recognition and Volume Estimation Methods for Dietary Assessment
G. Tahir
C. K. Loo
19
60
0
21 Jun 2021
A Survey on Semi-Supervised Learning for Delayed Partially Labelled Data
  Streams
A Survey on Semi-Supervised Learning for Delayed Partially Labelled Data Streams
Heitor Murilo Gomes
Maciej Grzenda
R. Mello
Jesse Read
Minh-Huong Le Nguyen
Albert Bifet
38
45
0
16 Jun 2021
Curriculum generation using Autoencoder based continuous optimization
Curriculum generation using Autoencoder based continuous optimization
Dipankar Sarkar
Mukur Gupta
22
0
0
16 Jun 2021
SynthASR: Unlocking Synthetic Data for Speech Recognition
SynthASR: Unlocking Synthetic Data for Speech Recognition
A. Fazel
Wei Yang
Yulan Liu
Roberto Barra-Chicote
Yi Meng
Roland Maas
J. Droppo
SyDa
18
48
0
14 Jun 2021
Dynamic Gradient Aggregation for Federated Domain Adaptation
Dynamic Gradient Aggregation for Federated Domain Adaptation
Dimitrios Dimitriadis
K. Kumatani
R. Gmyr
Yashesh Gaur
Sefik Emre Eskimez
FedML
26
5
0
14 Jun 2021
FastICARL: Fast Incremental Classifier and Representation Learning with
  Efficient Budget Allocation in Audio Sensing Applications
FastICARL: Fast Incremental Classifier and Representation Learning with Efficient Budget Allocation in Audio Sensing Applications
Young D. Kwon
Jagmohan Chauhan
Cecilia Mascolo
HAI
21
16
0
14 Jun 2021
Generative Feature-driven Image Replay for Continual Learning
Generative Feature-driven Image Replay for Continual Learning
Kevin Thandiackal
Tiziano Portenier
Andrea Giovannini
M. Gabrani
O. Goksel
CLL
VLM
DiffM
18
9
0
09 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
13
63
0
27 May 2021
Continual Learning for Real-World Autonomous Systems: Algorithms,
  Challenges and Frameworks
Continual Learning for Real-World Autonomous Systems: Algorithms, Challenges and Frameworks
Khadija Shaheen
Muhammad Abdullah Hanif
Osman Hasan
Muhammad Shafique
CLL
27
91
0
26 May 2021
Continual World: A Robotic Benchmark For Continual Reinforcement
  Learning
Continual World: A Robotic Benchmark For Continual Reinforcement Learning
Maciej Wołczyk
Michal Zajkac
Razvan Pascanu
Lukasz Kuciñski
Piotr Milo's
CLL
OffRL
17
89
0
23 May 2021
Class-Incremental Learning for Wireless Device Identification in IoT
Class-Incremental Learning for Wireless Device Identification in IoT
Yongxin Liu
Jian Wang
Jianqiang Li
Shuteng Niu
Haoze Song
31
58
0
08 May 2021
Structured Ensembles: an Approach to Reduce the Memory Footprint of
  Ensemble Methods
Structured Ensembles: an Approach to Reduce the Memory Footprint of Ensemble Methods
Jary Pomponi
Simone Scardapane
A. Uncini
UQCV
49
7
0
06 May 2021
Rethinking Search: Making Domain Experts out of Dilettantes
Rethinking Search: Making Domain Experts out of Dilettantes
Donald Metzler
Yi Tay
Dara Bahri
Marc Najork
LRM
38
46
0
05 May 2021
Schematic Memory Persistence and Transience for Efficient and Robust
  Continual Learning
Schematic Memory Persistence and Transience for Efficient and Robust Continual Learning
Yuyang Gao
Giorgio Ascoli
Liang Zhao
27
4
0
05 May 2021
A Deep Learning Framework for Lifelong Machine Learning
A Deep Learning Framework for Lifelong Machine Learning
Charles X. Ling
Tanner A. Bohn
CLL
24
5
0
01 May 2021
Towards Visual Semantics
Towards Visual Semantics
Fausto Giunchiglia
L. Erculiani
Andrea Passerini
22
16
0
26 Apr 2021
Class-Incremental Experience Replay for Continual Learning under Concept
  Drift
Class-Incremental Experience Replay for Continual Learning under Concept Drift
Lukasz Korycki
Bartosz Krawczyk
23
31
0
24 Apr 2021
Deep Learning for Bayesian Optimization of Scientific Problems with
  High-Dimensional Structure
Deep Learning for Bayesian Optimization of Scientific Problems with High-Dimensional Structure
Samuel Kim
Peter Y. Lu
Charlotte Loh
Jamie Smith
Jasper Snoek
M. Soljavcić
BDL
AI4CE
130
17
0
23 Apr 2021
Concept Drift Detection from Multi-Class Imbalanced Data Streams
Concept Drift Detection from Multi-Class Imbalanced Data Streams
Lukasz Korycki
Bartosz Krawczyk
22
39
0
20 Apr 2021
Class-Incremental Learning with Generative Classifiers
Class-Incremental Learning with Generative Classifiers
Gido M. van de Ven
Zhe Li
A. Tolias
BDL
50
58
0
20 Apr 2021
Continual Learning in Sensor-based Human Activity Recognition: an
  Empirical Benchmark Analysis
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
Overcoming Catastrophic Forgetting with Gaussian Mixture Replay
Benedikt Pfülb
A. Gepperth
VLM
BDL
24
12
0
19 Apr 2021
Lifelong Learning with Sketched Structural Regularization
Lifelong Learning with Sketched Structural Regularization
Haoran Li
A. Krishnan
Jingfeng Wu
Soheil Kolouri
Praveen K. Pilly
Vladimir Braverman
CLL
30
17
0
17 Apr 2021
Continual Learning for Text Classification with Information
  Disentanglement Based Regularization
Continual Learning for Text Classification with Information Disentanglement Based Regularization
Yufan Huang
Yanzhe Zhang
Jiaao Chen
Xuezhi Wang
Diyi Yang
CLL
26
106
0
12 Apr 2021
Applications of physics-informed scientific machine learning in
  subsurface science: A survey
Applications of physics-informed scientific machine learning in subsurface science: A survey
A. Sun
H. Yoon
C. Shih
Zhi Zhong
AI4CE
29
9
0
10 Apr 2021
Unsupervised Class-Incremental Learning Through Confusion
Unsupervised Class-Incremental Learning Through Confusion
Shivam Khare
Kun Cao
James M. Rehg
SSL
CLL
24
6
0
09 Apr 2021
Contrastive Explanations for Explaining Model Adaptations
Contrastive Explanations for Explaining Model Adaptations
André Artelt
Fabian Hinder
Valerie Vaquet
Robert Feldhans
Barbara Hammer
52
4
0
06 Apr 2021
Replay in Deep Learning: Current Approaches and Missing Biological
  Elements
Replay in Deep Learning: Current Approaches and Missing Biological Elements
Tyler L. Hayes
G. Krishnan
M. Bazhenov
H. Siegelmann
T. Sejnowski
Christopher Kanan
CLL
38
130
0
01 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
BDL
AI4TS
33
181
0
01 Apr 2021
Rainbow Memory: Continual Learning with a Memory of Diverse Samples
Rainbow Memory: Continual Learning with a Memory of Diverse Samples
Jihwan Bang
Heesu Kim
Y. Yoo
Jung-Woo Ha
Jonghyun Choi
CLL
34
324
0
31 Mar 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
24
47
0
29 Mar 2021
Efficient Feature Transformations for Discriminative and Generative
  Continual Learning
Efficient Feature Transformations for Discriminative and Generative Continual Learning
Vinay Kumar Verma
Kevin J Liang
Nikhil Mehta
Piyush Rai
Lawrence Carin
CLL
43
76
0
25 Mar 2021
Balanced softmax cross-entropy for incremental learning with and without
  memory
Balanced softmax cross-entropy for incremental learning with and without memory
Quentin Jodelet
Xin Liu
T. Murata
CLL
30
25
0
23 Mar 2021
Supervised Contrastive Replay: Revisiting the Nearest Class Mean
  Classifier in Online Class-Incremental Continual Learning
Supervised Contrastive Replay: Revisiting the Nearest Class Mean Classifier in Online Class-Incremental Continual Learning
Zheda Mai
Ruiwen Li
Hyunwoo J. Kim
Scott Sanner
CLL
37
181
0
22 Mar 2021
Accelerating GMRES with Deep Learning in Real-Time
Accelerating GMRES with Deep Learning in Real-Time
Kevin Luna
Katherine Klymko
Johannes P. Blaschke
AI4CE
41
13
0
19 Mar 2021
A Whole Brain Probabilistic Generative Model: Toward Realizing Cognitive
  Architectures for Developmental Robots
A Whole Brain Probabilistic Generative Model: Toward Realizing Cognitive Architectures for Developmental Robots
T. Taniguchi
Hiroshi Yamakawa
Takayuki Nagai
Kenji Doya
M. Sakagami
Masahiro Suzuki
Tomoaki Nakamura
Akira Taniguchi
28
23
0
15 Mar 2021
Continual Learning for Recurrent Neural Networks: an Empirical
  Evaluation
Continual Learning for Recurrent Neural Networks: an Empirical Evaluation
Andrea Cossu
Antonio Carta
Vincenzo Lomonaco
D. Bacciu
CLL
36
107
0
12 Mar 2021
Continual Semantic Segmentation via Repulsion-Attraction of Sparse and
  Disentangled Latent Representations
Continual Semantic Segmentation via Repulsion-Attraction of Sparse and Disentangled Latent Representations
Umberto Michieli
Pietro Zanuttigh
CLL
38
138
0
10 Mar 2021
MetaView: Few-shot Active Object Recognition
MetaView: Few-shot Active Object Recognition
Wei Wei
Haonan Yu
Haichao Zhang
Wenyuan Xu
Ying Nian Wu
34
4
0
07 Mar 2021
Selective Replay Enhances Learning in Online Continual Analogical
  Reasoning
Selective Replay Enhances Learning in Online Continual Analogical Reasoning
Tyler L. Hayes
Christopher Kanan
CLL
31
20
0
06 Mar 2021
An Ensemble with Shared Representations Based on Convolutional Networks
  for Continually Learning Facial Expressions
An Ensemble with Shared Representations Based on Convolutional Networks for Continually Learning Facial Expressions
Henrique Siqueira
Pablo V. A. Barros
S. Magg
S. Wermter
13
10
0
05 Mar 2021
Machine Learning using Stata/Python
Machine Learning using Stata/Python
G. Cerulli
GP
11
12
0
03 Mar 2021
Posterior Meta-Replay for Continual Learning
Posterior Meta-Replay for Continual Learning
Christian Henning
Maria R. Cervera
Francesco DÁngelo
J. Oswald
Regina Traber
Benjamin Ehret
Seijin Kobayashi
Benjamin Grewe
João Sacramento
CLL
BDL
51
55
0
01 Mar 2021
ROAD: The ROad event Awareness Dataset for Autonomous Driving
ROAD: The ROad event Awareness Dataset for Autonomous Driving
Gurkirt Singh
Stephen Akrigg
Manuele Di Maio
Valentina Fontana
Reza Javanmard Alitappeh
...
Salman Khan
S. Grazioso
Andrew Bradley
G. Gironimo
Fabio Cuzzolin
32
89
0
23 Feb 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
69
0
22 Feb 2021
High-fidelity Prediction of Megapixel Longitudinal Phase-space Images of
  Electron Beams using Encoder-Decoder Neural Networks
High-fidelity Prediction of Megapixel Longitudinal Phase-space Images of Electron Beams using Encoder-Decoder Neural Networks
Jun Zhu
Ye Chen
F. Brinker
W. Decking
S. Tomin
H. Schlarb
AI4CE
21
25
0
25 Jan 2021
Progressive Interpretation Synthesis: Interpreting Task Solving by
  Quantifying Previously Used and Unused Information
Progressive Interpretation Synthesis: Interpreting Task Solving by Quantifying Previously Used and Unused Information
Zhengqi He
Taro Toyoizumi
19
1
0
08 Jan 2021
Regularization-based Continual Learning for Anomaly Detection in
  Discrete Manufacturing
Regularization-based Continual Learning for Anomaly Detection in Discrete Manufacturing
Benjamin Maschler
T. Pham
M. Weyrich
38
32
0
02 Jan 2021
Sage: Using Unsupervised Learning for Scalable Performance Debugging in
  Microservices
Sage: Using Unsupervised Learning for Scalable Performance Debugging in Microservices
Yu Gan
Mingyu Liang
Sundar Dev
David Lo
Christina Delimitrou
23
4
0
01 Jan 2021
Cutting-edge 3D Medical Image Segmentation Methods in 2020: Are Happy
  Families All Alike?
Cutting-edge 3D Medical Image Segmentation Methods in 2020: Are Happy Families All Alike?
Jun Ma
64
5
0
01 Jan 2021
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