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1606.09282
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Learning without Forgetting
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2016
29 June 2016
Zhizhong Li
Derek Hoiem
CLL
OOD
SSL
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Papers citing
"Learning without Forgetting"
50 / 2,447 papers shown
Incremental Object Detection via Meta-Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
K. J. Joseph
Jathushan Rajasegaran
Salman Khan
Fahad Shahbaz Khan
V. Balasubramanian
ObjD
CLL
VLM
402
122
0
17 Mar 2020
Any-Shot Object Detection
Asian Conference on Computer Vision (ACCV), 2020
Shafin Rahman
Salman Khan
Nick Barnes
Fahad Shahbaz Khan
ObjD
VLM
261
18
0
16 Mar 2020
Beyond without Forgetting: Multi-Task Learning for Classification with Disjoint Datasets
IEEE International Conference on Multimedia and Expo (ICME), 2020
Y. Hong
Li Niu
Jianfu Zhang
Liqing Zhang
181
7
0
15 Mar 2020
FOAL: Fast Online Adaptive Learning for Cardiac Motion Estimation
Computer Vision and Pattern Recognition (CVPR), 2020
Hanchao Yu
Shanhui Sun
Haichao Yu
Xiao Chen
Humphrey Shi
Thomas Huang
Terrence Chen
251
48
0
10 Mar 2020
Faster ILOD: Incremental Learning for Object Detectors based on Faster RCNN
Pattern Recognition Letters (Pattern Recognit. Lett.), 2020
Can Peng
Kun-li Zhao
Brian C. Lovell
ObjD
256
131
0
09 Mar 2020
FoCL: Feature-Oriented Continual Learning for Generative Models
Pattern Recognition (Pattern Recognit.), 2020
Qicheng Lao
Mehrzad Mortazavi
Marzieh S. Tahaei
Francis Dutil
T. Fevens
Mohammad Havaei
CLL
125
15
0
09 Mar 2020
Synaptic Metaplasticity in Binarized Neural Networks
Nature Communications (Nat Commun), 2020
Axel Laborieux
M. Ernoult
T. Hirtzlin
D. Querlioz
CLL
240
73
0
07 Mar 2020
Energy-efficient and Robust Cumulative Training with Net2Net Transformation
IEEE International Joint Conference on Neural Network (IJCNN), 2020
Aosong Feng
Priyadarshini Panda
178
1
0
02 Mar 2020
Multi-Scale Neural network for EEG Representation Learning in BCI
IEEE Computational Intelligence Magazine (IEEE CIM), 2020
Wonjun Ko
Eunjin Jeon
Seungwoo Jeong
Heung-Il Suk
193
97
0
02 Mar 2020
On Catastrophic Interference in Atari 2600 Games
W. Fedus
Dibya Ghosh
John D. Martin
Marc G. Bellemare
Yoshua Bengio
Hugo Larochelle
149
27
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28 Feb 2020
Cognitively-Inspired Model for Incremental Learning Using a Few Examples
Ali Ayub
Alan Wagner
CLL
191
3
0
27 Feb 2020
Semantically-Guided Representation Learning for Self-Supervised Monocular Depth
International Conference on Learning Representations (ICLR), 2020
Vitor Campagnolo Guizilini
Rui Hou
Jie Li
Rares Andrei Ambrus
Adrien Gaidon
SSL
MDE
238
253
0
27 Feb 2020
Mnemonics Training: Multi-Class Incremental Learning without Forgetting
Computer Vision and Pattern Recognition (CVPR), 2020
Yaoyao Liu
Yuting Su
Anan Liu
Bernt Schiele
Qianru Sun
CLL
303
384
0
24 Feb 2020
Learning to Continually Learn
European Conference on Artificial Intelligence (ECAI), 2020
Shawn L. E. Beaulieu
Lapo Frati
Thomas Miconi
Joel Lehman
Kenneth O. Stanley
Jeff Clune
Nick Cheney
KELM
CLL
232
159
0
21 Feb 2020
Using Hindsight to Anchor Past Knowledge in Continual Learning
AAAI Conference on Artificial Intelligence (AAAI), 2019
Arslan Chaudhry
Albert Gordo
P. Dokania
Juil Sock
David Lopez-Paz
KELM
CLL
271
269
0
19 Feb 2020
Few-Shot Few-Shot Learning and the role of Spatial Attention
International Conference on Pattern Recognition (ICPR), 2020
Yann Lifchitz
Yannis Avrithis
Sylvaine Picard
SSL
154
7
0
18 Feb 2020
Residual Continual Learning
AAAI Conference on Artificial Intelligence (AAAI), 2020
Janghyeon Lee
Donggyu Joo
H. Hong
Junmo Kim
CLL
226
25
0
17 Feb 2020
Self-Distillation Amplifies Regularization in Hilbert Space
Neural Information Processing Systems (NeurIPS), 2020
H. Mobahi
Mehrdad Farajtabar
Peter L. Bartlett
308
262
0
13 Feb 2020
Multi-Task Incremental Learning for Object Detection
Xialei Liu
Hao Yang
Avinash Ravichandran
Rahul Bhotika
Stefano Soatto
ObjD
VLM
CLL
211
13
0
13 Feb 2020
Incremental Meta-Learning via Indirect Discriminant Alignment
Qing Liu
Orchid Majumder
Alessandro Achille
Avinash Ravichandran
Rahul Bhotika
Stefano Soatto
CLL
178
6
0
11 Feb 2020
Multitask Emotion Recognition with Incomplete Labels
IEEE International Conference on Automatic Face & Gesture Recognition (FG), 2020
Didan Deng
Zhaokang Chen
Bertram E. Shi
CVBM
133
99
0
10 Feb 2020
Understanding the effects of artifacts on automated polyp detection and incorporating that knowledge via learning without forgetting
Maxime Kayser
R. Soberanis-Mukul
Anna-Maria Zvereva
P. Klare
Nassir Navab
Shadi Albarqouni
102
7
0
07 Feb 2020
Modeling the Background for Incremental Learning in Semantic Segmentation
Computer Vision and Pattern Recognition (CVPR), 2020
Fabio Cermelli
Goran Frehse
Samuel Rota Buló
Elisa Ricci
Barbara Caputo
CLL
VLM
276
342
0
03 Feb 2020
A Novel Incremental Cross-Modal Hashing Approach
Devraj Mandal
Soma Biswas
CLL
60
1
0
03 Feb 2020
Adversarial Incremental Learning
Ankur Singh
CLL
105
1
0
30 Jan 2020
Ternary Feature Masks: zero-forgetting for task-incremental learning
Marc Masana
Tinne Tuytelaars
Joost van de Weijer
CLL
141
30
0
23 Jan 2020
Rethinking the Distribution Gap of Person Re-identification with Camera-based Batch Normalization
Zijie Zhuang
Longhui Wei
Lingxi Xie
Tianyu Zhang
Hengheng Zhang
Haozhe Wu
H. Ai
Qi Tian
196
1
0
23 Jan 2020
SPACE: Structured Compression and Sharing of Representational Space for Continual Learning
IEEE Access (IEEE Access), 2020
Gobinda Saha
Isha Garg
Aayush Ankit
Kaushik Roy
CLL
272
25
0
23 Jan 2020
Active and Incremental Learning with Weak Supervision
C. Brust
Christoph Käding
Joachim Denzler
CLL
146
19
0
20 Jan 2020
Continual Learning for Domain Adaptation in Chest X-ray Classification
International Conference on Medical Imaging with Deep Learning (MIDL), 2020
Matthias Lenga
H. Schulz
A. Saalbach
OOD
126
66
0
16 Jan 2020
ScaIL: Classifier Weights Scaling for Class Incremental Learning
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2020
Eden Belouadah
Adrian Daniel Popescu
CLL
218
89
0
16 Jan 2020
Intelligence, physics and information -- the tradeoff between accuracy and simplicity in machine learning
Tailin Wu
338
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11 Jan 2020
Frosting Weights for Better Continual Training
International Conference on Machine Learning and Applications (ICMLA), 2019
Xiaofeng Zhu
Feng Liu
Goce Trajcevski
Dingding Wang
FedML
AI4CE
CLL
211
5
0
07 Jan 2020
Dissecting Catastrophic Forgetting in Continual Learning by Deep Visualization
Giang Nguyen
Shuan Chen
T. Do
Tae Joon Jun
Ho-Jin Choi
Daeyoung Kim
161
12
0
06 Jan 2020
Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-tailed Classification
European Conference on Computer Vision (ECCV), 2020
Liuyu Xiang
Guiguang Ding
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456
326
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06 Jan 2020
A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning
International Conference on Learning Representations (ICLR), 2020
Soochan Lee
Junsoo Ha
Dongsu Zhang
Gunhee Kim
BDL
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425
233
0
03 Jan 2020
Side-Tuning: A Baseline for Network Adaptation via Additive Side Networks
Jeffrey O. Zhang
Alexander Sax
Amir Zamir
Leonidas Guibas
Jitendra Malik
214
29
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31 Dec 2019
On the Role of Weight Sharing During Deep Option Learning
AAAI Conference on Artificial Intelligence (AAAI), 2019
Matthew D Riemer
Ignacio Cases
Clemens Rosenbaum
Miao Liu
Gerald Tesauro
OffRL
255
22
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31 Dec 2019
DeGAN : Data-Enriching GAN for Retrieving Representative Samples from a Trained Classifier
AAAI Conference on Artificial Intelligence (AAAI), 2019
Sravanti Addepalli
Gaurav Kumar Nayak
Anirban Chakraborty
R. Venkatesh Babu
156
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27 Dec 2019
Learning Improved Representations by Transferring Incomplete Evidence Across Heterogeneous Tasks
Athanasios Davvetas
I. Klampanos
118
0
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22 Dec 2019
Overcoming Long-term Catastrophic Forgetting through Adversarial Neural Pruning and Synaptic Consolidation
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019
Jian-wei Peng
Bo Tang
Jiang Hao
Zhuo Li
Yinjie Lei
Tao Lin
Haifeng Li
AAML
CLL
170
41
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19 Dec 2019
Continuous Meta-Learning without Tasks
Neural Information Processing Systems (NeurIPS), 2019
James Harrison
Apoorva Sharma
Chelsea Finn
Marco Pavone
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OOD
304
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18 Dec 2019
Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion
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Hongxu Yin
Pavlo Molchanov
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J. Álvarez
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N. Jha
Jan Kautz
484
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445
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David Filliat
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Spyros Gidaris
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218
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Overcoming Catastrophic Forgetting by Generative Regularization
International Conference on Machine Learning (ICML), 2019
Peiqiu Chen
Wei Wei
Cho-Jui Hsieh
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121
18
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03 Dec 2019
Latent Replay for Real-Time Continual Learning
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2019
Lorenzo Pellegrini
G. Graffieti
Vincenzo Lomonaco
Davide Maltoni
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461
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116
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272
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