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Dark Experience for General Continual Learning: a Strong, Simple
  Baseline

Dark Experience for General Continual Learning: a Strong, Simple Baseline

15 April 2020
Pietro Buzzega
Matteo Boschini
Angelo Porrello
Davide Abati
Simone Calderara
    BDL
    CLL
ArXivPDFHTML

Papers citing "Dark Experience for General Continual Learning: a Strong, Simple Baseline"

39 / 139 papers shown
Title
Optimizing Class Distribution in Memory for Multi-Label Online Continual
  Learning
Optimizing Class Distribution in Memory for Multi-Label Online Continual Learning
Yanyan Liang
Wu-Jun Li
CLL
16
8
0
23 Sep 2022
Scalable Adversarial Online Continual Learning
Scalable Adversarial Online Continual Learning
T. Dam
Mahardhika Pratama
Md Meftahul Ferdaus
S. Anavatti
Hussein Abbas
CLL
27
3
0
04 Sep 2022
A Multi-Head Model for Continual Learning via Out-of-Distribution Replay
A Multi-Head Model for Continual Learning via Out-of-Distribution Replay
Gyuhak Kim
Zixuan Ke
Bin Liu
VLM
CLL
OODD
15
29
0
20 Aug 2022
Continual Machine Reading Comprehension via Uncertainty-aware Fixed
  Memory and Adversarial Domain Adaptation
Continual Machine Reading Comprehension via Uncertainty-aware Fixed Memory and Adversarial Domain Adaptation
Zhijing Wu
Hua Xu
Jingliang Fang
Kai Gao
CLL
23
1
0
10 Aug 2022
S-Prompts Learning with Pre-trained Transformers: An Occam's Razor for
  Domain Incremental Learning
S-Prompts Learning with Pre-trained Transformers: An Occam's Razor for Domain Incremental Learning
Yabin Wang
Zhiwu Huang
Xiaopeng Hong
CLL
VLM
27
208
0
26 Jul 2022
Incremental Task Learning with Incremental Rank Updates
Incremental Task Learning with Incremental Rank Updates
Rakib Hyder
Ken Shao
Boyu Hou
P. Markopoulos
Ashley Prater-Bennette
M. Salman Asif
CLL
16
13
0
19 Jul 2022
Class-incremental Novel Class Discovery
Class-incremental Novel Class Discovery
Subhankar Roy
Mingxuan Liu
Zhun Zhong
N. Sebe
Elisa Ricci
CLL
28
43
0
18 Jul 2022
How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on
  Continual Learning and Functional Composition
How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on Continual Learning and Functional Composition
Jorge Armando Mendez Mendez
Eric Eaton
KELM
CLL
29
27
0
15 Jul 2022
Contrastive Learning for Online Semi-Supervised General Continual
  Learning
Contrastive Learning for Online Semi-Supervised General Continual Learning
Nicolas Michel
Romain Negrel
Giovanni Chierchia
J. Bercher
CLL
SSL
11
5
0
12 Jul 2022
Memory-Based Model Editing at Scale
Memory-Based Model Editing at Scale
E. Mitchell
Charles Lin
Antoine Bosselut
Christopher D. Manning
Chelsea Finn
KELM
24
318
0
13 Jun 2022
Transfer without Forgetting
Transfer without Forgetting
Matteo Boschini
Lorenzo Bonicelli
Angelo Porrello
Giovanni Bellitto
M. Pennisi
S. Palazzo
C. Spampinato
Simone Calderara
CLL
14
46
0
01 Jun 2022
Alleviating Representational Shift for Continual Fine-tuning
Alleviating Representational Shift for Continual Fine-tuning
Shibo Jie
Zhi-Hong Deng
Ziheng Li
CLL
27
11
0
22 Apr 2022
DualPrompt: Complementary Prompting for Rehearsal-free Continual
  Learning
DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning
Zifeng Wang
Zizhao Zhang
Sayna Ebrahimi
Ruoxi Sun
Han Zhang
...
Xiaoqi Ren
Guolong Su
Vincent Perot
Jennifer Dy
Tomas Pfister
CLL
VLM
VPVLM
28
455
0
10 Apr 2022
General Incremental Learning with Domain-aware Categorical
  Representations
General Incremental Learning with Domain-aware Categorical Representations
Jiangwei Xie
Shipeng Yan
Xuming He
OOD
CLL
14
38
0
08 Apr 2022
Continual Normalization: Rethinking Batch Normalization for Online
  Continual Learning
Continual Normalization: Rethinking Batch Normalization for Online Continual Learning
Quang-Cuong Pham
Chenghao Liu
S. Hoi
BDL
OnRL
30
57
0
30 Mar 2022
Representation Compensation Networks for Continual Semantic Segmentation
Representation Compensation Networks for Continual Semantic Segmentation
Chang-Bin Zhang
Jianqiang Xiao
Xialei Liu
Ying-Cong Chen
Mingg-Ming Cheng
SSeg
CLL
37
93
0
10 Mar 2022
Memory Efficient Continual Learning with Transformers
Memory Efficient Continual Learning with Transformers
B. Ermiş
Giovanni Zappella
Martin Wistuba
Aditya Rawal
Cédric Archambeau
CLL
21
42
0
09 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
37
6
0
16 Feb 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
19
3
0
05 Jan 2022
Class-Incremental Continual Learning into the eXtended DER-verse
Class-Incremental Continual Learning into the eXtended DER-verse
Matteo Boschini
Lorenzo Bonicelli
Pietro Buzzega
Angelo Porrello
Simone Calderara
CLL
BDL
23
128
0
03 Jan 2022
Relational Experience Replay: Continual Learning by Adaptively Tuning
  Task-wise Relationship
Relational Experience Replay: Continual Learning by Adaptively Tuning Task-wise Relationship
Quanziang Wang
Renzhen Wang
Yuexiang Li
Dong Wei
Kai Ma
Yefeng Zheng
Deyu Meng
CLL
29
6
0
31 Dec 2021
Self-Supervised Models are Continual Learners
Self-Supervised Models are Continual Learners
Enrico Fini
Victor G. Turrisi da Costa
Xavier Alameda-Pineda
Elisa Ricci
Alahari Karteek
Julien Mairal
BDL
CLL
SSL
33
157
0
08 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
29
55
0
05 Dec 2021
Achieving Forgetting Prevention and Knowledge Transfer in Continual
  Learning
Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning
Zixuan Ke
Bing-Quan Liu
Nianzu Ma
Hu Xu
Lei Shu
CLL
186
123
0
05 Dec 2021
Contrastive Continual Learning with Feature Propagation
Contrastive Continual Learning with Feature Propagation
Xuejun Han
Yuhong Guo
CLL
21
4
0
03 Dec 2021
Representational Continuity for Unsupervised Continual Learning
Representational Continuity for Unsupervised Continual Learning
Divyam Madaan
Jaehong Yoon
Yuanchun Li
Yunxin Liu
Sung Ju Hwang
CLL
SSL
66
111
0
13 Oct 2021
DualNet: Continual Learning, Fast and Slow
DualNet: Continual Learning, Fast and Slow
Quang-Cuong Pham
Chenghao Liu
S. Hoi
CLL
71
42
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
Saliency Guided Experience Packing for Replay in Continual Learning
Saliency Guided Experience Packing for Replay in Continual Learning
Gobinda Saha
Kaushik Roy
VLM
KELM
CLL
92
21
0
10 Sep 2021
Complementary Calibration: Boosting General Continual Learning with
  Collaborative Distillation and Self-Supervision
Complementary Calibration: Boosting General Continual Learning with Collaborative Distillation and Self-Supervision
Zhong Ji
Jin Li
Qiang Wang
Zhongfei Zhang
CLL
25
18
0
03 Sep 2021
An Investigation of Replay-based Approaches for Continual Learning
An Investigation of Replay-based Approaches for Continual Learning
Benedikt Bagus
A. Gepperth
CLL
33
33
0
15 Aug 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
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
New Insights on Reducing Abrupt Representation Change in Online
  Continual Learning
New Insights on Reducing Abrupt Representation Change in Online Continual Learning
Lucas Page-Caccia
Rahaf Aljundi
Nader Asadi
Tinne Tuytelaars
Joelle Pineau
Eugene Belilovsky
CLL
21
185
0
11 Apr 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
22
25
0
23 Mar 2021
Continual Learning for Blind Image Quality Assessment
Continual Learning for Blind Image Quality Assessment
Weixia Zhang
Dingquan Li
Chao Ma
Guangtao Zhai
Xiaokang Yang
Kede Ma
VLM
17
86
0
19 Feb 2021
Energy-Based Models for Continual Learning
Energy-Based Models for Continual Learning
Shuang Li
Yilun Du
Gido M. van de Ven
Igor Mordatch
24
42
0
24 Nov 2020
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp
  Minima
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
N. Keskar
Dheevatsa Mudigere
J. Nocedal
M. Smelyanskiy
P. T. P. Tang
ODL
281
2,889
0
15 Sep 2016
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