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Learning without Forgetting

Learning without Forgetting

29 June 2016
Zhizhong Li
Derek Hoiem
    CLL
    OOD
    SSL
ArXivPDFHTML

Papers citing "Learning without Forgetting"

50 / 2,216 papers shown
Title
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
33
117
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
CLL
OffRL
21
46
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
27
6
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
32
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
CLL
OffRL
16
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
25
139
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
28
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
36
86
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
35
91
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
32
91
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
35
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
18
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
25
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
24
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
CLL
BDL
25
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
24
63
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
15
19
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
49
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
58
67
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
23
42
0
10 May 2021
Elastic Weight Consolidation (EWC): Nuts and Bolts
Elastic Weight Consolidation (EWC): Nuts and Bolts
Abhishek Aich
CML
13
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
47
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
32
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
47
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
17
29
0
28 Apr 2021
Continual Distributed Learning for Crisis Management
Continual Distributed Learning for Crisis Management
Aman Priyanshu
Mudit Sinha
S. Mehta
36
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
38
28
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
27
9
0
21 Apr 2021
Knowledge Distillation as Semiparametric Inference
Knowledge Distillation as Semiparametric Inference
Tri Dao
G. Kamath
Vasilis Syrgkanis
Lester W. Mackey
42
31
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
Continual Learning with Fully Probabilistic Models
Continual Learning with Fully Probabilistic Models
Benedikt Pfülb
A. Gepperth
Benedikt Bagus
BDL
40
8
0
19 Apr 2021
Overcoming Catastrophic Forgetting with Gaussian Mixture Replay
Overcoming Catastrophic Forgetting with Gaussian Mixture Replay
Benedikt Pfülb
A. Gepperth
VLM
BDL
32
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
40
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
27
116
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
25
105
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
AAML
CLL
27
46
0
15 Apr 2021
Unsupervised Continual Learning Via Pseudo Labels
Unsupervised Continual Learning Via Pseudo Labels
Jiangpeng He
Feng Zhu
SSL
CLL
19
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
29
12
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
17
43
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
47
25
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
31
106
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
26
190
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
17
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
43
22
0
07 Apr 2021
Synthesized Trust Learning from Limited Human Feedback for
  Human-Load-Reduced Multi-Robot Deployments
Synthesized Trust Learning from Limited Human Feedback for Human-Load-Reduced Multi-Robot Deployments
Yijiang Pang
Chao Huang
R. Liu
11
2
0
07 Apr 2021
Few-Shot Incremental Learning with Continually Evolved Classifiers
Few-Shot Incremental Learning with Continually Evolved Classifiers
Chi Zhang
Nan Song
Guosheng Lin
Yun Zheng
Pan Pan
Yinghui Xu
CLL
42
290
0
07 Apr 2021
Contrastive Syn-to-Real Generalization
Contrastive Syn-to-Real Generalization
Wuyang Chen
Zhiding Yu
Shalini De Mello
Sifei Liu
J. Álvarez
Zhangyang Wang
Anima Anandkumar
23
46
0
06 Apr 2021
Learnable Expansion-and-Compression Network for Few-shot
  Class-Incremental Learning
Learnable Expansion-and-Compression Network for Few-shot Class-Incremental Learning
Boyu Yang
Mingbao Lin
Binghao Liu
Mengying Fu
Chang-rui Liu
Rongrong Ji
QiXiang Ye
CLL
32
14
0
06 Apr 2021
Tuned Compositional Feature Replays for Efficient Stream Learning
Tuned Compositional Feature Replays for Efficient Stream Learning
Morgan B. Talbot
Rushikesh Zawar
Rohil Badkundri
Mengmi Zhang
Gabriel Kreiman
CLL
55
2
0
06 Apr 2021
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