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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 / 156 papers shown
Title
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
18
58
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
142
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
27
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
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
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
90
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
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
18
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
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
43
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
21
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
46
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
19
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
13
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
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
41
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
185
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
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
J. Weijer
Tinne Tuytelaars
D. Bacciu
Davide Maltoni
BDL
AI4TS
28
180
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
19
47
0
29 Mar 2021
Semantic-aware Knowledge Distillation for Few-Shot Class-Incremental
  Learning
Semantic-aware Knowledge Distillation for Few-Shot Class-Incremental Learning
A. Cheraghian
Shafin Rahman
Pengfei Fang
S. Roy
L. Petersson
Mehrtash Harandi
CLL
25
183
0
06 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
54
0
01 Mar 2021
Essentials for Class Incremental Learning
Essentials for Class Incremental Learning
Sudhanshu Mittal
Silvio Galesso
Thomas Brox
CLL
14
96
0
18 Feb 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
Efficient Continual Learning with Modular Networks and Task-Driven
  Priors
Efficient Continual Learning with Modular Networks and Task-Driven Priors
Tom Véniat
Ludovic Denoyer
MarcÁurelio Ranzato
CLL
22
97
0
23 Dec 2020
Continual Adaptation of Visual Representations via Domain Randomization
  and Meta-learning
Continual Adaptation of Visual Representations via Domain Randomization and Meta-learning
Riccardo Volpi
Diane Larlus
Grégory Rogez
VLM
OOD
CLL
22
74
0
08 Dec 2020
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
13
9
0
25 Nov 2020
Energy-Based Models for Continual Learning
Energy-Based Models for Continual Learning
Shuang Li
Yilun Du
Gido M. van de Ven
Igor Mordatch
27
42
0
24 Nov 2020
Imbalanced Continual Learning with Partitioning Reservoir Sampling
Imbalanced Continual Learning with Partitioning Reservoir Sampling
C. Kim
Jinseo Jeong
Gunhee Kim
CLL
19
101
0
08 Sep 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
CLL
KELM
BDL
20
95
0
27 Jun 2020
Supermasks in Superposition
Supermasks in Superposition
Mitchell Wortsman
Vivek Ramanujan
Rosanne Liu
Aniruddha Kembhavi
Mohammad Rastegari
J. Yosinski
Ali Farhadi
SSL
CLL
19
279
0
26 Jun 2020
Automatic Recall Machines: Internal Replay, Continual Learning and the
  Brain
Automatic Recall Machines: Internal Replay, Continual Learning and the Brain
Xu Ji
Joao Henriques
Tinne Tuytelaars
Andrea Vedaldi
KELM
17
10
0
22 Jun 2020
Generalisation Guarantees for Continual Learning with Orthogonal
  Gradient Descent
Generalisation Guarantees for Continual Learning with Orthogonal Gradient Descent
Mehdi Abbana Bennani
Thang Doan
Masashi Sugiyama
CLL
50
61
0
21 Jun 2020
GAN Memory with No Forgetting
GAN Memory with No Forgetting
Yulai Cong
Miaoyun Zhao
Jianqiao Li
Sijia Wang
Lawrence Carin
CLL
13
116
0
13 Jun 2020
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