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Three scenarios for continual learning

Three scenarios for continual learning

15 April 2019
Gido M. van de Ven
A. Tolias
    CLL
ArXivPDFHTML

Papers citing "Three scenarios for continual learning"

50 / 174 papers shown
Title
Dataset Distillation using Neural Feature Regression
Dataset Distillation using Neural Feature Regression
Yongchao Zhou
E. Nezhadarya
Jimmy Ba
DD
FedML
53
151
0
01 Jun 2022
Memory-efficient Reinforcement Learning with Value-based Knowledge
  Consolidation
Memory-efficient Reinforcement Learning with Value-based Knowledge Consolidation
Qingfeng Lan
Yangchen Pan
Jun Luo
A. R. Mahmood
OffRL
29
7
0
22 May 2022
Incremental Learning with Differentiable Architecture and Forgetting
  Search
Incremental Learning with Differentiable Architecture and Forgetting Search
James Smith
Zachary Seymour
Han-Pang Chiu
OOD
CLL
AI4CE
42
4
0
19 May 2022
Continual learning on 3D point clouds with random compressed rehearsal
Continual learning on 3D point clouds with random compressed rehearsal
M. Zamorski
Michal Stypulkowski
Konrad Karanowski
Tomasz Trzciñski
Maciej Ziȩba
3DPC
27
9
0
16 May 2022
Learning Representations for New Sound Classes With Continual
  Self-Supervised Learning
Learning Representations for New Sound Classes With Continual Self-Supervised Learning
Zhepei Wang
Cem Subakan
Xilin Jiang
Junkai Wu
Efthymios Tzinis
Mirco Ravanelli
Paris Smaragdis
CLL
SSL
67
19
0
15 May 2022
Contrastive Supervised Distillation for Continual Representation
  Learning
Contrastive Supervised Distillation for Continual Representation Learning
Tommaso Barletti
Niccoló Biondi
F. Pernici
Matteo Bruni
A. Bimbo
CLL
26
7
0
11 May 2022
Explain to Not Forget: Defending Against Catastrophic Forgetting with
  XAI
Explain to Not Forget: Defending Against Catastrophic Forgetting with XAI
Sami Ede
Serop Baghdadlian
Leander Weber
A. Nguyen
Dario Zanca
Wojciech Samek
Sebastian Lapuschkin
CLL
27
6
0
04 May 2022
LifeLonger: A Benchmark for Continual Disease Classification
LifeLonger: A Benchmark for Continual Disease Classification
Mohammad Mahdi Derakhshani
Ivona Najdenkoska
Tom van Sonsbeek
Xiantong Zhen
Dwarikanath Mahapatra
M. Worring
Cees G. M. Snoek
35
31
0
12 Apr 2022
Overcoming Catastrophic Forgetting in Incremental Object Detection via
  Elastic Response Distillation
Overcoming Catastrophic Forgetting in Incremental Object Detection via Elastic Response Distillation
Tao Feng
Mang Wang
Hangjie Yuan
ObjD
CLL
26
84
0
05 Apr 2022
Re-examining Distillation For Continual Object Detection
Re-examining Distillation For Continual Object Detection
Eli Verwimp
Kuo Yang
Sarah Parisot
Hong Lanqing
Jingyu Sun
Eduardo Pérez-Pellitero
Matthias De Lange
Tinne Tuytelaars
VLM
30
6
0
04 Apr 2022
Class-Incremental Learning by Knowledge Distillation with Adaptive
  Feature Consolidation
Class-Incremental Learning by Knowledge Distillation with Adaptive Feature Consolidation
Minsoo Kang
Jaeyoo Park
Bohyung Han
CLL
27
179
0
02 Apr 2022
A Closer Look at Rehearsal-Free Continual Learning
A Closer Look at Rehearsal-Free Continual Learning
James Smith
Junjiao Tian
Shaunak Halbe
Yen-Chang Hsu
Z. Kira
VLM
CLL
26
60
0
31 Mar 2022
Class-Incremental Learning for Action Recognition in Videos
Class-Incremental Learning for Action Recognition in Videos
Jaeyoo Park
Minsoo Kang
Bohyung Han
CLL
24
52
0
25 Mar 2022
Diagnosing Batch Normalization in Class Incremental Learning
Diagnosing Batch Normalization in Class Incremental Learning
Minghao Zhou
Quanziang Wang
Jun Shu
Qian Zhao
Deyu Meng
CLL
48
6
0
16 Feb 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
148
91
0
17 Jan 2022
Exemplar-free Class Incremental Learning via Discriminative and
  Comparable One-class Classifiers
Exemplar-free Class Incremental Learning via Discriminative and Comparable One-class Classifiers
Wenju Sun
Qingyong Li
Jing Zhang
Danyu Wang
Wen Wang
Yangli-ao Geng
BDL
24
3
0
05 Jan 2022
Avoiding Catastrophe: Active Dendrites Enable Multi-Task Learning in
  Dynamic Environments
Avoiding Catastrophe: Active Dendrites Enable Multi-Task Learning in Dynamic Environments
A. Iyer
Karan Grewal
Akash Velu
Lucas O. Souza
Jérémy Forest
Subutai Ahmad
AI4CE
35
41
0
31 Dec 2021
Continual learning of longitudinal health records
Continual learning of longitudinal health records
Jacob Armstrong
David A. Clifton
CLL
KELM
27
15
0
22 Dec 2021
Learning to Prompt for Continual Learning
Learning to Prompt for Continual Learning
Zifeng Wang
Zizhao Zhang
Chen-Yu Lee
Han Zhang
Ruoxi Sun
Xiaoqi Ren
Guolong Su
Vincent Perot
Jennifer Dy
Tomas Pfister
CLL
VPVLM
KELM
VLM
22
738
0
16 Dec 2021
Provable Continual Learning via Sketched Jacobian Approximations
Provable Continual Learning via Sketched Jacobian Approximations
Reinhard Heckel
CLL
20
9
0
09 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
40
30
0
06 Dec 2021
CLASSIC: Continual and Contrastive Learning of Aspect Sentiment
  Classification Tasks
CLASSIC: Continual and Contrastive Learning of Aspect Sentiment Classification Tasks
Zixuan Ke
Bing-Quan Liu
Hu Xu
Lei Shu
CLL
31
55
0
05 Dec 2021
Target Layer Regularization for Continual Learning Using Cramer-Wold
  Generator
Target Layer Regularization for Continual Learning Using Cramer-Wold Generator
Marcin Mazur
Lukasz Pustelnik
Szymon Knop
Patryk Pagacz
Przemysław Spurek
28
2
0
15 Nov 2021
Exploring System Performance of Continual Learning for Mobile and
  Embedded Sensing Applications
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
28
32
0
25 Oct 2021
A TinyML Platform for On-Device Continual Learning with Quantized Latent
  Replays
A TinyML Platform for On-Device Continual Learning with Quantized Latent Replays
Leonardo Ravaglia
Manuele Rusci
D. Nadalini
Alessandro Capotondi
Francesco Conti
Luca Benini
BDL
39
64
0
20 Oct 2021
Dendritic Self-Organizing Maps for Continual Learning
Dendritic Self-Organizing Maps for Continual Learning
Kosmas Pinitas
Spyridon Chavlis
Panayiota Poirazi
CLL
21
8
0
18 Oct 2021
Continual Learning on Noisy Data Streams via Self-Purified Replay
Continual Learning on Noisy Data Streams via Self-Purified Replay
C. Kim
Jinseo Jeong
Sang-chul Moon
Gunhee Kim
CLL
40
39
0
14 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
27
35
0
07 Oct 2021
Powerpropagation: A sparsity inducing weight reparameterisation
Powerpropagation: A sparsity inducing weight reparameterisation
Jonathan Richard Schwarz
Siddhant M. Jayakumar
Razvan Pascanu
P. Latham
Yee Whye Teh
92
54
0
01 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
VLM
CLL
25
73
0
23 Sep 2021
Evaluating Continual Learning Algorithms by Generating 3D Virtual
  Environments
Evaluating Continual Learning Algorithms by Generating 3D Virtual Environments
Enrico Meloni
Alessandro Betti
Lapo Faggi
Simone Marullo
Matteo Tiezzi
S. Melacci
35
4
0
16 Sep 2021
Principal Gradient Direction and Confidence Reservoir Sampling for
  Continual Learning
Principal Gradient Direction and Confidence Reservoir Sampling for Continual Learning
Zhiyi Chen
Tong Lin
CLL
23
1
0
21 Aug 2021
Continual Neural Mapping: Learning An Implicit Scene Representation from
  Sequential Observations
Continual Neural Mapping: Learning An Implicit Scene Representation from Sequential Observations
Zike Yan
Yuxin Tian
Xuesong Shi
Ping Guo
Peng Wang
H. Zha
CLL
19
45
0
12 Aug 2021
Lifelong Mixture of Variational Autoencoders
Lifelong Mixture of Variational Autoencoders
Fei Ye
A. Bors
DRL
16
27
0
09 Jul 2021
A First Look at Class Incremental Learning in Deep Learning Mobile
  Traffic Classification
A First Look at Class Incremental Learning in Deep Learning Mobile Traffic Classification
Giampaolo Bovenzi
Lixuan Yang
A. Finamore
Giuseppe Aceto
D. Ciuonzo
A. Pescapé
Dario Rossi
18
22
0
09 Jul 2021
Co$^2$L: Contrastive Continual Learning
Co2^22L: Contrastive Continual Learning
Hyuntak Cha
Jaeho Lee
Jinwoo Shin
CLL
SSL
VLM
60
291
0
28 Jun 2021
Task-agnostic Continual Learning with Hybrid Probabilistic Models
Task-agnostic Continual Learning with Hybrid Probabilistic Models
Polina Kirichenko
Mehrdad Farajtabar
Dushyant Rao
Balaji Lakshminarayanan
Nir Levine
Ang Li
Huiyi Hu
A. Wilson
Razvan Pascanu
VLM
BDL
CLL
27
19
0
24 Jun 2021
Graceful Degradation and Related Fields
Graceful Degradation and Related Fields
J. Dymond
31
4
0
21 Jun 2021
Always Be Dreaming: A New Approach for Data-Free Class-Incremental
  Learning
Always Be Dreaming: A New Approach for Data-Free Class-Incremental Learning
James Smith
Yen-Chang Hsu
John C. Balloch
Yilin Shen
Hongxia Jin
Z. Kira
CLL
60
161
0
17 Jun 2021
Natural continual learning: success is a journey, not (just) a
  destination
Natural continual learning: success is a journey, not (just) a destination
Ta-Chu Kao
Kristopher T. Jensen
Gido M. van de Ven
A. Bernacchia
Guillaume Hennequin
CLL
23
46
0
15 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
Same State, Different Task: Continual Reinforcement Learning without
  Interference
Same State, Different Task: Continual Reinforcement Learning without Interference
Samuel Kessler
Jack Parker-Holder
Philip J. Ball
S. Zohren
Stephen J. Roberts
CLL
OffRL
19
46
0
05 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
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
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
New Insights on Reducing Abrupt Representation Change in Online
  Continual Learning
New Insights on Reducing Abrupt Representation Change in Online Continual Learning
Lucas Caccia
Rahaf Aljundi
Nader Asadi
Tinne Tuytelaars
Joelle Pineau
Eugene Belilovsky
CLL
21
186
0
11 Apr 2021
Understanding Continual Learning Settings with Data Distribution Drift
  Analysis
Understanding Continual Learning Settings with Data Distribution Drift Analysis
Timothée Lesort
Massimo Caccia
Irina Rish
25
55
0
04 Apr 2021
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