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Learning without Forgetting
v1v2v3 (latest)

Learning without Forgetting

29 June 2016
Zhizhong Li
Derek Hoiem
    CLLOODSSL
ArXiv (abs)PDFHTML

Papers citing "Learning without Forgetting"

50 / 2,270 papers shown
Title
Optimizing Reusable Knowledge for Continual Learning via Metalearning
Optimizing Reusable Knowledge for Continual Learning via Metalearning
J. Hurtado
Alain Raymond-Sáez
Alvaro Soto
CLL
87
38
0
09 Jun 2021
Towards Deep Industrial Transfer Learning for Anomaly Detection on Time
  Series Data
Towards Deep Industrial Transfer Learning for Anomaly Detection on Time Series Data
Benjamin Maschler
T. Knodel
M. Weyrich
AI4TS
41
9
0
09 Jun 2021
GAN Cocktail: mixing GANs without dataset access
GAN Cocktail: mixing GANs without dataset access
Omri Avrahami
Dani Lischinski
Ohad Fried
DiffMMoMe
51
9
0
07 Jun 2021
Continual Active Learning for Efficient Adaptation of Machine Learning
  Models to Changing Image Acquisition
Continual Active Learning for Efficient Adaptation of Machine Learning Models to Changing Image Acquisition
Matthias Perkonigg
J. Hofmanninger
Georg Langs
MedImOOD
62
16
0
07 Jun 2021
Energy Aligning for Biased Models
Energy Aligning for Biased Models
Bowen Zhao
Chen Chen
Qi Ju
Shutao Xia
34
1
0
07 Jun 2021
Preservation of the Global Knowledge by Not-True Distillation in
  Federated Learning
Preservation of the Global Knowledge by Not-True Distillation in Federated Learning
Gihun Lee
Minchan Jeong
Yongjin Shin
Sangmin Bae
Se-Young Yun
FedML
115
125
0
06 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
CLLOffRL
84
47
0
05 Jun 2021
A Procedural World Generation Framework for Systematic Evaluation of
  Continual Learning
A Procedural World Generation Framework for Systematic Evaluation of Continual Learning
Timm Hess
Martin Mundt
Iuliia Pliushch
Visvanathan Ramesh
68
7
0
04 Jun 2021
Continual Learning in Deep Networks: an Analysis of the Last Layer
Continual Learning in Deep Networks: an Analysis of the Last Layer
Timothée Lesort
Thomas George
Irina Rish
KELM
94
22
0
03 Jun 2021
Lifetime policy reuse and the importance of task capacity
Lifetime policy reuse and the importance of task capacity
David M. Bossens
Adam Sobey
CLLOffRL
62
3
0
03 Jun 2021
Online Coreset Selection for Rehearsal-based Continual Learning
Online Coreset Selection for Rehearsal-based Continual Learning
Jaehong Yoon
Divyam Madaan
Eunho Yang
Sung Ju Hwang
CLL
103
145
0
02 Jun 2021
Smaller Is Better: An Analysis of Instance Quantity/Quality Trade-off in
  Rehearsal-based Continual Learning
Smaller Is Better: An Analysis of Instance Quantity/Quality Trade-off in Rehearsal-based Continual Learning
Francesco Pelosin
A. Torsello
30
1
0
28 May 2021
FReTAL: Generalizing Deepfake Detection using Knowledge Distillation and
  Representation Learning
FReTAL: Generalizing Deepfake Detection using Knowledge Distillation and Representation Learning
Minhan Kim
Shahroz Tariq
Simon S. Woo
118
88
0
28 May 2021
Open-world Machine Learning: Applications, Challenges, and Opportunities
Open-world Machine Learning: Applications, Challenges, and Opportunities
Jitendra Parmar
S. Chouhan
Vaskar Raychoudhury
S. Rathore
OffRL
106
96
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
Mohamed Bennai
CLL
84
93
0
26 May 2021
ACAE-REMIND for Online Continual Learning with Compressed Feature Replay
ACAE-REMIND for Online Continual Learning with Compressed Feature Replay
Kai Wang
Luis Herranz
Joost van de Weijer
CLL
117
14
0
18 May 2021
DRILL: Dynamic Representations for Imbalanced Lifelong Learning
DRILL: Dynamic Representations for Imbalanced Lifelong Learning
Kyra Ahrens
Fares Abawi
S. Wermter
CLL
45
7
0
18 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
Class-Incremental Few-Shot Object Detection
Class-Incremental Few-Shot Object Detection
Pengyang Li
Yanan Li
Han Cui
Donghui Wang
CLL
110
14
0
17 May 2021
Shared and Private VAEs with Generative Replay for Continual Learning
Shared and Private VAEs with Generative Replay for Continual Learning
Subhankar Ghosh
CLLBDL
31
0
0
17 May 2021
Layerwise Optimization by Gradient Decomposition for Continual Learning
Layerwise Optimization by Gradient Decomposition for Continual Learning
Shixiang Tang
Dapeng Chen
Jinguo Zhu
Shijie Yu
Wanli Ouyang
CLL
77
65
0
17 May 2021
Troubleshooting Blind Image Quality Models in the Wild
Troubleshooting Blind Image Quality Models in the Wild
Zhihua Wang
Haotao Wang
Tianlong Chen
Zhangyang Wang
Kede Ma
66
20
0
14 May 2021
TAG: Task-based Accumulated Gradients for Lifelong learning
TAG: Task-based Accumulated Gradients for Lifelong learning
Pranshu Malviya
B. Ravindran
Sarath Chandar
CLL
134
5
0
11 May 2021
Towards Discovery and Attribution of Open-world GAN Generated Images
Towards Discovery and Attribution of Open-world GAN Generated Images
Sharath Girish
Saksham Suri
Saketh Rambhatla
Abhinav Shrivastava
143
70
0
10 May 2021
Continual Learning via Bit-Level Information Preserving
Continual Learning via Bit-Level Information Preserving
Yujun Shi
Li-xin Yuan
Yunpeng Chen
Jiashi Feng
CLL
91
43
0
10 May 2021
Elastic Weight Consolidation (EWC): Nuts and Bolts
Elastic Weight Consolidation (EWC): Nuts and Bolts
Abhishek Aich
CML
55
23
0
10 May 2021
Continual Learning on the Edge with TensorFlow Lite
Continual Learning on the Edge with TensorFlow Lite
Giorgos Demosthenous
Vassilis Vassiliades
CLL
80
21
0
05 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
102
8
0
04 May 2021
Learning to Continuously Optimize Wireless Resource in a Dynamic
  Environment: A Bilevel Optimization Perspective
Learning to Continuously Optimize Wireless Resource in a Dynamic Environment: A Bilevel Optimization Perspective
Haoran Sun
Wenqiang Pu
Xiao Fu
Tsung-Hui Chang
Mingyi Hong
80
30
0
03 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
30
5
0
01 May 2021
Preserving Earlier Knowledge in Continual Learning with the Help of All
  Previous Feature Extractors
Preserving Earlier Knowledge in Continual Learning with the Help of All Previous Feature Extractors
Zhuoyun Li
Changhong Zhong
Sijia Liu
Ruixuan Wang
Weishi Zheng
CLL
61
30
0
28 Apr 2021
Continual Distributed Learning for Crisis Management
Continual Distributed Learning for Crisis Management
Aman Priyanshu
Mudit Sinha
S. Mehta
65
4
0
26 Apr 2021
Piggyback GAN: Efficient Lifelong Learning for Image Conditioned
  Generation
Piggyback GAN: Efficient Lifelong Learning for Image Conditioned Generation
Mengyao Zhai
Lei Chen
Jiawei He
Megha Nawhal
Frederick Tung
Greg Mori
CLL
64
29
0
24 Apr 2021
IB-DRR: Incremental Learning with Information-Back Discrete
  Representation Replay
IB-DRR: Incremental Learning with Information-Back Discrete Representation Replay
Jian Jiang
Edoardo Cetin
Oya Celiktutan
51
9
0
21 Apr 2021
Knowledge Distillation as Semiparametric Inference
Knowledge Distillation as Semiparametric Inference
Tri Dao
G. Kamath
Vasilis Syrgkanis
Lester W. Mackey
84
32
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
60
51
0
19 Apr 2021
Continual Learning with Fully Probabilistic Models
Continual Learning with Fully Probabilistic Models
Benedikt Pfülb
A. Gepperth
Benedikt Bagus
BDL
56
8
0
19 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
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
63
17
0
17 Apr 2021
On Learning the Geodesic Path for Incremental Learning
On Learning the Geodesic Path for Incremental Learning
Christian Simon
Piotr Koniusz
Mehrtash Harandi
CLL
81
122
0
17 Apr 2021
Rehearsal revealed: The limits and merits of revisiting samples in
  continual learning
Rehearsal revealed: The limits and merits of revisiting samples in continual learning
Eli Verwimp
Matthias De Lange
Tinne Tuytelaars
CLL
59
108
0
15 Apr 2021
Continual Learning for Fake Audio Detection
Continual Learning for Fake Audio Detection
Haoxin Ma
Jiangyan Yi
J. Tao
Ye Bai
Zhengkun Tian
Chenglong Wang
AAMLCLL
56
48
0
15 Apr 2021
Unsupervised Continual Learning Via Pseudo Labels
Unsupervised Continual Learning Via Pseudo Labels
Jiangpeng He
Feng Zhu
SSLCLL
44
25
0
14 Apr 2021
Continual learning in cross-modal retrieval
Continual learning in cross-modal retrieval
Kai Wang
Luis Herranz
Joost van de Weijer
CLL
61
14
0
14 Apr 2021
Learning Regularization Parameters of Inverse Problems via Deep Neural
  Networks
Learning Regularization Parameters of Inverse Problems via Deep Neural Networks
B. Afkham
Julianne Chung
Matthias Chung
58
49
0
14 Apr 2021
Incremental Multi-Target Domain Adaptation for Object Detection with
  Efficient Domain Transfer
Incremental Multi-Target Domain Adaptation for Object Detection with Efficient Domain Transfer
Le Thanh Nguyen-Meidine
M. Kiran
M. Pedersoli
Jose Dolz
Louis-Antoine Blais-Morin
Eric Granger
83
26
0
13 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
68
113
0
12 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
134
201
0
11 Apr 2021
Streaming Self-Training via Domain-Agnostic Unlabeled Images
Streaming Self-Training via Domain-Agnostic Unlabeled Images
Zhiqiu Lin
Deva Ramanan
Aayush Bansal
LRM
70
5
0
07 Apr 2021
Distilling and Transferring Knowledge via cGAN-generated Samples for
  Image Classification and Regression
Distilling and Transferring Knowledge via cGAN-generated Samples for Image Classification and Regression
Xin Ding
Z. J. Wang
Zuheng Xu
Z. Jane Wang
William J. Welch
133
22
0
07 Apr 2021
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