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Learning without Forgetting
v1v2v3 (latest)

Learning without Forgetting

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2016
29 June 2016
Zhizhong Li
Derek Hoiem
    CLLOODSSL
ArXiv (abs)PDFHTML

Papers citing "Learning without Forgetting"

50 / 2,448 papers shown
Adaptive Aggregation Networks for Class-Incremental Learning
Adaptive Aggregation Networks for Class-Incremental LearningComputer Vision and Pattern Recognition (CVPR), 2020
Yaoyao Liu
Bernt Schiele
Qianru Sun
CLL
452
265
0
10 Oct 2020
Continual learning using hash-routed convolutional neural networks
Continual learning using hash-routed convolutional neural networks
A. Berjaoui
BDLCLL
148
1
0
09 Oct 2020
Sequential Changepoint Detection in Neural Networks with Checkpoints
Sequential Changepoint Detection in Neural Networks with Checkpoints
Michalis K. Titsias
Jakub Sygnowski
Yutian Chen
BDL
214
11
0
06 Oct 2020
The Effectiveness of Memory Replay in Large Scale Continual Learning
The Effectiveness of Memory Replay in Large Scale Continual Learning
Yogesh Balaji
Mehrdad Farajtabar
Dong Yin
Alex Mott
Ang Li
280
42
0
06 Oct 2020
Lifelong Language Knowledge Distillation
Lifelong Language Knowledge DistillationConference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Yung-Sung Chuang
Shang-Yu Su
Yun-Nung Chen
KELMCLL
225
57
0
05 Oct 2020
Improving AMR Parsing with Sequence-to-Sequence Pre-training
Improving AMR Parsing with Sequence-to-Sequence Pre-trainingConference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Dong Xu
Junhui Li
Muhua Zhu
Min Zhang
Guodong Zhou
AIMat
192
71
0
05 Oct 2020
Remembering for the Right Reasons: Explanations Reduce Catastrophic
  Forgetting
Remembering for the Right Reasons: Explanations Reduce Catastrophic ForgettingInternational Conference on Learning Representations (ICLR), 2020
Sayna Ebrahimi
Suzanne Petryk
Akash Gokul
William Gan
Joseph E. Gonzalez
Marcus Rohrbach
Trevor Darrell
CLL
250
52
0
04 Oct 2020
Continual Learning for Natural Language Generation in Task-oriented
  Dialog Systems
Continual Learning for Natural Language Generation in Task-oriented Dialog SystemsFindings (Findings), 2020
Fei Mi
Liangwei Chen
Mengjie Zhao
Shiyu Huang
Boi Faltings
CLLKELM
231
82
0
02 Oct 2020
Task Agnostic Continual Learning Using Online Variational Bayes with
  Fixed-Point Updates
Task Agnostic Continual Learning Using Online Variational Bayes with Fixed-Point UpdatesNeural Computation (Neural Comput.), 2020
Chen Zeno
Itay Golan
Elad Hoffer
Daniel Soudry
OODFedML
306
50
0
01 Oct 2020
Meta-Consolidation for Continual Learning
Meta-Consolidation for Continual LearningNeural Information Processing Systems (NeurIPS), 2020
K. J. Joseph
V. Balasubramanian
CLL
211
61
0
01 Oct 2020
Cross-Task Representation Learning for Anatomical Landmark Detection
Cross-Task Representation Learning for Anatomical Landmark Detection
Zeyu Fu
Jianbo Jiao
M. Suttie
J. A. Noble
CVBM
213
2
0
28 Sep 2020
Automated Pancreas Segmentation Using Multi-institutional Collaborative
  Deep Learning
Automated Pancreas Segmentation Using Multi-institutional Collaborative Deep Learning
Pochuan Wang
Chen Shen
H. Roth
Dong Yang
Daguang Xu
...
Po-Ting Chen
Kao-Lang Liu
Wei-Chih Liao
Weichung Wang
K. Mori
FedMLOOD
207
33
0
28 Sep 2020
Beneficial Perturbation Network for designing general adaptive
  artificial intelligence systems
Beneficial Perturbation Network for designing general adaptive artificial intelligence systemsIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020
Shixian Wen
A. Rios
Yunhao Ge
Laurent Itti
OODAAML
258
18
0
27 Sep 2020
Continual Model-Based Reinforcement Learning with Hypernetworks
Continual Model-Based Reinforcement Learning with HypernetworksIEEE International Conference on Robotics and Automation (ICRA), 2020
Yizhou Huang
Kevin Xie
Homanga Bharadhwaj
Florian Shkurti
CLL
218
63
0
25 Sep 2020
Few-Shot Unsupervised Continual Learning through Meta-Examples
Few-Shot Unsupervised Continual Learning through Meta-Examples
Alessia Bertugli
Stefano Vincenzi
Simone Calderara
Baptiste Caramiaux
CLLSSL
295
8
0
17 Sep 2020
Ground-truth or DAER: Selective Re-query of Secondary Information
Ground-truth or DAER: Selective Re-query of Secondary InformationIEEE International Conference on Computer Vision (ICCV), 2020
Stephan J. Lemmer
Jason J. Corso
258
4
0
16 Sep 2020
3D_DEN: Open-ended 3D Object Recognition using Dynamically Expandable
  Networks
3D_DEN: Open-ended 3D Object Recognition using Dynamically Expandable NetworksIEEE Transactions on Cognitive and Developmental Systems (TCDS), 2020
Sudhakaran Jain
Hamidreza Kasaei
3DPC
239
4
0
15 Sep 2020
KSM: Fast Multiple Task Adaption via Kernel-wise Soft Mask Learning
KSM: Fast Multiple Task Adaption via Kernel-wise Soft Mask LearningComputer Vision and Pattern Recognition (CVPR), 2020
Li Yang
Zhezhi He
Junshan Zhang
Deliang Fan
AAMLCLL
234
13
0
11 Sep 2020
Routing Networks with Co-training for Continual Learning
Routing Networks with Co-training for Continual Learning
Mark Collier
Efi Kokiopoulou
Andrea Gesmundo
Jesse Berent
CLL
232
15
0
09 Sep 2020
Learning joint segmentation of tissues and brain lesions from
  task-specific hetero-modal domain-shifted datasets
Learning joint segmentation of tissues and brain lesions from task-specific hetero-modal domain-shifted datasets
Reuben Dorent
Thomas C Booth
Wenqi Li
Carole H. Sudre
S. Kafiabadi
M. Jorge Cardoso
Sebastien Ourselin
Tom Vercauteren
213
28
0
08 Sep 2020
Imbalanced Continual Learning with Partitioning Reservoir Sampling
Imbalanced Continual Learning with Partitioning Reservoir SamplingEuropean Conference on Computer Vision (ECCV), 2020
C. Kim
Jinseo Jeong
Gunhee Kim
CLL
435
127
0
08 Sep 2020
A Practical Incremental Method to Train Deep CTR Models
A Practical Incremental Method to Train Deep CTR Models
Yichao Wang
Huifeng Guo
Ruiming Tang
Zhirong Liu
Xiuqiang He
CLL
249
38
0
04 Sep 2020
A Wholistic View of Continual Learning with Deep Neural Networks:
  Forgotten Lessons and the Bridge to Active and Open World Learning
A Wholistic View of Continual Learning with Deep Neural Networks: Forgotten Lessons and the Bridge to Active and Open World LearningNeural Networks (NN), 2020
Martin Mundt
Yongjun Hong
Iuliia Pliushch
Visvanathan Ramesh
CLL
434
180
0
03 Sep 2020
Lifelong Object Detection
Lifelong Object Detection
Wang Zhou
Shiyu Chang
Norma Sosa
Hendrik Hamann
David D. Cox
CLLObjD
233
47
0
02 Sep 2020
Continual Prototype Evolution: Learning Online from Non-Stationary Data
  Streams
Continual Prototype Evolution: Learning Online from Non-Stationary Data StreamsIEEE International Conference on Computer Vision (ICCV), 2020
Matthias De Lange
Tinne Tuytelaars
CLL
526
250
0
02 Sep 2020
Lifelong Graph Learning
Lifelong Graph LearningComputer Vision and Pattern Recognition (CVPR), 2020
Chen Wang
Yuheng Qiu
Dasong Gao
Sebastian Scherer
CLLGNNAI4CE
323
60
0
01 Sep 2020
Online Class-Incremental Continual Learning with Adversarial Shapley
  Value
Online Class-Incremental Continual Learning with Adversarial Shapley Value
Dongsub Shim
Zheda Mai
Jihwan Jeong
Scott Sanner
Hyunwoo J. Kim
Jongseong Jang
CLL
431
6
0
31 Aug 2020
Initial Classifier Weights Replay for Memoryless Class Incremental
  Learning
Initial Classifier Weights Replay for Memoryless Class Incremental LearningBritish Machine Vision Conference (BMVC), 2020
Eden Belouadah
Adrian Daniel Popescu
Ioannis Kanellos
CLL
255
24
0
31 Aug 2020
iLGaCo: Incremental Learning of Gait Covariate Factors
iLGaCo: Incremental Learning of Gait Covariate Factors
Zihao Mu
F. M. Castro
M. Marín-Jiménez
Nicolás Guil Mata
Yan-Ran Li
Shiqi Yu
226
7
0
31 Aug 2020
Learning Adaptive Embedding Considering Incremental Class
Learning Adaptive Embedding Considering Incremental ClassIEEE Transactions on Knowledge and Data Engineering (TKDE), 2020
Yang Yang
Zhensheng Sun
HengShu Zhu
Yanjie Fu
Hui Xiong
Jian Yang
CLL
181
50
0
31 Aug 2020
Background Splitting: Finding Rare Classes in a Sea of Background
Background Splitting: Finding Rare Classes in a Sea of BackgroundComputer Vision and Pattern Recognition (CVPR), 2020
Ravi Teja Mullapudi
Fait Poms
W. Mark
Deva Ramanan
Kayvon Fatahalian
VLM
281
12
0
28 Aug 2020
Active Class Incremental Learning for Imbalanced Datasets
Active Class Incremental Learning for Imbalanced Datasets
Eden Belouadah
Adrian Daniel Popescu
Umang Aggarwal
Léo Saci
CLL
193
14
0
25 Aug 2020
Precision Health Data: Requirements, Challenges and Existing Techniques
  for Data Security and Privacy
Precision Health Data: Requirements, Challenges and Existing Techniques for Data Security and Privacy
Chandra Thapa
S. Çamtepe
164
277
0
24 Aug 2020
WeLa-VAE: Learning Alternative Disentangled Representations Using Weak
  Labels
WeLa-VAE: Learning Alternative Disentangled Representations Using Weak Labels
Vasilis Margonis
Athanasios Davvetas
I. Klampanos
CoGeDRLCML
138
3
0
22 Aug 2020
LIRA: Lifelong Image Restoration from Unknown Blended Distortions
LIRA: Lifelong Image Restoration from Unknown Blended Distortions
Jianzhao Liu
Jianxin Lin
Xin Li
Wei Zhou
Sen Liu
Zhibo Chen
CLL
251
21
0
19 Aug 2020
Knowledge Transfer via Dense Cross-Layer Mutual-Distillation
Knowledge Transfer via Dense Cross-Layer Mutual-Distillation
Anbang Yao
Dawei Sun
175
68
0
18 Aug 2020
Explainability in Deep Reinforcement Learning
Explainability in Deep Reinforcement Learning
Alexandre Heuillet
Fabien Couthouis
Natalia Díaz Rodríguez
XAI
1.1K
324
0
15 Aug 2020
BroadFace: Looking at Tens of Thousands of People at Once for Face
  Recognition
BroadFace: Looking at Tens of Thousands of People at Once for Face Recognition
Y. Kim
Wonpyo Park
Jongju Shin
CVBM
424
58
0
15 Aug 2020
RODEO: Replay for Online Object Detection
RODEO: Replay for Online Object Detection
Manoj Acharya
Tyler L. Hayes
Christopher Kanan
ObjDCLL
218
50
0
14 Aug 2020
Adaptable Multi-Domain Language Model for Transformer ASR
Adaptable Multi-Domain Language Model for Transformer ASR
Taewoo Lee
Min-Joong Lee
Tae Gyoon Kang
Seokyeong Jung
Minseok Kwon
...
Ho-Gyeong Kim
Jiseung Jeong
Jihyun Lee
Hosik Lee
Y. S. Choi
158
20
0
14 Aug 2020
Continual Class Incremental Learning for CT Thoracic Segmentation
Continual Class Incremental Learning for CT Thoracic Segmentation
Abdelrahman Elskhawy
Aneta Lisowska
Matthias Keicher
Josep Henry
Paul Thomson
Nassir Navab
CLL
183
11
0
12 Aug 2020
Online Continual Learning under Extreme Memory Constraints
Online Continual Learning under Extreme Memory Constraints
Enrico Fini
Stéphane Lathuilière
E. Sangineto
Moin Nabi
Elisa Ricci
CLL
353
74
0
04 Aug 2020
Memory Efficient Class-Incremental Learning for Image Classification
Memory Efficient Class-Incremental Learning for Image Classification
Hanbin Zhao
Haibo Wang
Yongjian Fu
Leilei Gan
Xi Li
CLLVLM
341
103
0
04 Aug 2020
Class-Incremental Domain Adaptation
Class-Incremental Domain Adaptation
Jogendra Nath Kundu
R. Venkatesh
Naveen Venkat
Ambareesh Revanur
R. Venkatesh Babu
CLL
243
58
0
04 Aug 2020
Unsupervised Cross-Modal Alignment for Multi-Person 3D Pose Estimation
Unsupervised Cross-Modal Alignment for Multi-Person 3D Pose Estimation
Jogendra Nath Kundu
Ambareesh Revanur
Govind V Waghmare
R. Venkatesh
R. Venkatesh Babu
3DH
173
18
0
04 Aug 2020
Bilevel Continual Learning
Bilevel Continual Learning
Quang Pham
Doyen Sahoo
Chenghao Liu
Guosheng Lin
CLL
177
13
0
30 Jul 2020
Lifelong Incremental Reinforcement Learning with Online Bayesian
  Inference
Lifelong Incremental Reinforcement Learning with Online Bayesian InferenceIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020
Zhi Wang
Chunlin Chen
D. Dong
CLLOffRL
359
61
0
28 Jul 2020
Two-Level Residual Distillation based Triple Network for Incremental
  Object Detection
Two-Level Residual Distillation based Triple Network for Incremental Object Detection
Dongbao Yang
Can Ma
Dayan Wu
Can Ma
Fei Yang
Weiping Wang
ObjD
151
18
0
27 Jul 2020
Reparameterizing Convolutions for Incremental Multi-Task Learning
  without Task Interference
Reparameterizing Convolutions for Incremental Multi-Task Learning without Task InterferenceEuropean Conference on Computer Vision (ECCV), 2020
Menelaos Kanakis
David Brüggemann
Suman Saha
Stamatios Georgoulis
Anton Obukhov
Luc Van Gool
CLL
339
80
0
24 Jul 2020
What and Where: Learn to Plug Adapters via NAS for Multi-Domain Learning
What and Where: Learn to Plug Adapters via NAS for Multi-Domain LearningIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020
Hanbin Zhao
Hao Zeng
Xin Qin
Yongjian Fu
Haibo Wang
Bourahla Omar
Xi Li
277
21
0
24 Jul 2020
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