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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
A Comprehensive Study of Class Incremental Learning Algorithms for
  Visual Tasks
A Comprehensive Study of Class Incremental Learning Algorithms for Visual Tasks
Eden Belouadah
Adrian Daniel Popescu
Ioannis Kanellos
CLL
30
214
0
03 Nov 2020
Modular-Relatedness for Continual Learning
Ammar Shaker
Shujian Yu
Francesco Alesiani
KELM
CLL
11
2
0
02 Nov 2020
Bilevel Continual Learning
Bilevel Continual Learning
Ammar Shaker
Francesco Alesiani
Shujian Yu
Wenzhe Yin
CLL
22
0
0
02 Nov 2020
Collaborative Method for Incremental Learning on Classification and
  Generation
Collaborative Method for Incremental Learning on Classification and Generation
Byungju Kim
Jaeyoung Lee
Kyungsu Kim
Sungjin Kim
Junmo Kim
CLL
24
1
0
29 Oct 2020
Class-incremental learning: survey and performance evaluation on image
  classification
Class-incremental learning: survey and performance evaluation on image classification
Marc Masana
Xialei Liu
Bartlomiej Twardowski
Mikel Menta
Andrew D. Bagdanov
Joost van de Weijer
CLL
37
666
0
28 Oct 2020
AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem?
AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem?
Jun Ma
Yao Zhang
Song Gu
Cheng Zhu
Cheng Ge
...
Shangqing Liu
Yunpeng Wang
Yuhui Li
Jian He
Xiaoping Yang
SSeg
OOD
31
328
0
28 Oct 2020
Overcoming Conflicting Data when Updating a Neural Semantic Parser
Overcoming Conflicting Data when Updating a Neural Semantic Parser
David Gaddy
Alex Kouzemtchenko
Pavankumar Reddy Muddireddy
Prateek Kolhar
Rushi Shah
11
1
0
23 Oct 2020
A Combinatorial Perspective on Transfer Learning
A Combinatorial Perspective on Transfer Learning
Jianan Wang
Eren Sezener
David Budden
Marcus Hutter
J. Veness
CLL
22
8
0
23 Oct 2020
Comprehensive Attention Self-Distillation for Weakly-Supervised Object
  Detection
Comprehensive Attention Self-Distillation for Weakly-Supervised Object Detection
Zeyi Huang
Yang Zou
V. Bhagavatula
Dong Huang
WSOD
28
120
0
22 Oct 2020
Continual Learning in Low-rank Orthogonal Subspaces
Continual Learning in Low-rank Orthogonal Subspaces
Arslan Chaudhry
Naeemullah Khan
P. Dokania
Philip Torr
CLL
33
115
0
22 Oct 2020
What is Wrong with Continual Learning in Medical Image Segmentation?
What is Wrong with Continual Learning in Medical Image Segmentation?
Camila González
Nick Lemke
G. Sakas
Anirban Mukhopadhyay
CLL
26
31
0
21 Oct 2020
CLAR: Contrastive Learning of Auditory Representations
CLAR: Contrastive Learning of Auditory Representations
Haider Al-Tahan
Y. Mohsenzadeh
SSL
125
56
0
19 Oct 2020
Unsupervised Pretraining for Neural Machine Translation Using Elastic
  Weight Consolidation
Unsupervised Pretraining for Neural Machine Translation Using Elastic Weight Consolidation
Dusan Varis
Ondrej Bojar
33
16
0
19 Oct 2020
Continual Unsupervised Domain Adaptation for Semantic Segmentation
Continual Unsupervised Domain Adaptation for Semantic Segmentation
Joonhyuk Kim
Sahng-Min Yoo
Gyeong-Moon Park
Jong-hwan Kim
CLL
29
4
0
19 Oct 2020
Unsupervised Natural Language Inference via Decoupled Multimodal
  Contrastive Learning
Unsupervised Natural Language Inference via Decoupled Multimodal Contrastive Learning
Wanyun Cui
Guangyu Zheng
Wei Wang
SSL
24
21
0
16 Oct 2020
On the Exploration of Incremental Learning for Fine-grained Image
  Retrieval
On the Exploration of Incremental Learning for Fine-grained Image Retrieval
Wei Chen
Yu Liu
Weiping Wang
Tinne Tuytelaars
E. Bakker
M. Lew
CLL
8
16
0
15 Oct 2020
Rethinking Experience Replay: a Bag of Tricks for Continual Learning
Rethinking Experience Replay: a Bag of Tricks for Continual Learning
Pietro Buzzega
Matteo Boschini
Angelo Porrello
Simone Calderara
CLL
22
146
0
12 Oct 2020
Adaptive Aggregation Networks for Class-Incremental Learning
Adaptive Aggregation Networks for Class-Incremental Learning
Yaoyao Liu
Bernt Schiele
Qianru Sun
CLL
26
215
0
10 Oct 2020
Continual learning using hash-routed convolutional neural networks
Continual learning using hash-routed convolutional neural networks
A. Berjaoui
BDL
CLL
13
0
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
18
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
32
38
0
06 Oct 2020
Lifelong Language Knowledge Distillation
Lifelong Language Knowledge Distillation
Yung-Sung Chuang
Shang-Yu Su
Yun-Nung Chen
KELM
CLL
27
49
0
05 Oct 2020
Improving AMR Parsing with Sequence-to-Sequence Pre-training
Improving AMR Parsing with Sequence-to-Sequence Pre-training
Dong Xu
Junhui Li
Muhua Zhu
Min Zhang
Guodong Zhou
AIMat
20
68
0
05 Oct 2020
Remembering for the Right Reasons: Explanations Reduce Catastrophic
  Forgetting
Remembering for the Right Reasons: Explanations Reduce Catastrophic Forgetting
Sayna Ebrahimi
Suzanne Petryk
Akash Gokul
William Gan
Joseph E. Gonzalez
Marcus Rohrbach
Trevor Darrell
CLL
37
45
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 Systems
Fei Mi
Liangwei Chen
Mengjie Zhao
Minlie Huang
Boi Faltings
CLL
KELM
19
68
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 Updates
Chen Zeno
Itay Golan
Elad Hoffer
Daniel Soudry
OOD
FedML
19
46
0
01 Oct 2020
Meta-Consolidation for Continual Learning
Meta-Consolidation for Continual Learning
K. J. Joseph
V. Balasubramanian
CLL
25
55
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
30
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
FedML
OOD
36
25
0
28 Sep 2020
Beneficial Perturbation Network for designing general adaptive
  artificial intelligence systems
Beneficial Perturbation Network for designing general adaptive artificial intelligence systems
Shixian Wen
A. Rios
Yunhao Ge
Laurent Itti
OOD
AAML
31
18
0
27 Sep 2020
Continual Model-Based Reinforcement Learning with Hypernetworks
Continual Model-Based Reinforcement Learning with Hypernetworks
Yizhou Huang
Kevin Xie
Homanga Bharadhwaj
Florian Shkurti
CLL
27
46
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
Andrea Passerini
CLL
SSL
33
8
0
17 Sep 2020
Ground-truth or DAER: Selective Re-query of Secondary Information
Ground-truth or DAER: Selective Re-query of Secondary Information
Stephan J. Lemmer
Jason J. Corso
14
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 Networks
Sudhakaran Jain
Hamidreza Kasaei
3DPC
14
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 Learning
Li Yang
Zhezhi He
Junshan Zhang
Deliang Fan
AAML
CLL
16
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
27
14
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
R. Dorent
Thomas C Booth
Wenqi Li
Carole H. Sudre
S. Kafiabadi
M. Jorge Cardoso
Sebastien Ourselin
Tom Kamiel Magda Vercauteren
26
25
0
08 Sep 2020
Imbalanced Continual Learning with Partitioning Reservoir Sampling
Imbalanced Continual Learning with Partitioning Reservoir Sampling
C. Kim
Jinseo Jeong
Gunhee Kim
CLL
32
101
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
27
31
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 Learning
Martin Mundt
Yongjun Hong
Iuliia Pliushch
Visvanathan Ramesh
CLL
30
146
0
03 Sep 2020
Lifelong Object Detection
Lifelong Object Detection
Wang Zhou
Shiyu Chang
Norma Sosa
Hendrik Hamann
David D. Cox
CLL
ObjD
22
42
0
02 Sep 2020
Continual Prototype Evolution: Learning Online from Non-Stationary Data
  Streams
Continual Prototype Evolution: Learning Online from Non-Stationary Data Streams
Matthias De Lange
Tinne Tuytelaars
CLL
18
200
0
02 Sep 2020
Lifelong Graph Learning
Lifelong Graph Learning
Chen Wang
Yuheng Qiu
Dasong Gao
Sebastian Scherer
CLL
GNN
AI4CE
34
51
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
13
6
0
31 Aug 2020
Initial Classifier Weights Replay for Memoryless Class Incremental
  Learning
Initial Classifier Weights Replay for Memoryless Class Incremental Learning
Eden Belouadah
Adrian Daniel Popescu
Ioannis Kanellos
CLL
29
23
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
31
5
0
31 Aug 2020
Learning Adaptive Embedding Considering Incremental Class
Learning Adaptive Embedding Considering Incremental Class
Yang Yang
Zhensheng Sun
HengShu Zhu
Yanjie Fu
Hui Xiong
Jian Yang
CLL
24
40
0
31 Aug 2020
Background Splitting: Finding Rare Classes in a Sea of Background
Background Splitting: Finding Rare Classes in a Sea of Background
Ravi Teja Mullapudi
Fait Poms
W. Mark
Deva Ramanan
Kayvon Fatahalian
VLM
37
9
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
18
12
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
14
202
0
24 Aug 2020
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