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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
Re-assign community
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Papers citing
"Learning without Forgetting"
50 / 2,447 papers shown
Learning joint lesion and tissue segmentation from task-specific hetero-modal datasets
International Conference on Medical Imaging with Deep Learning (MIDL), 2019
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Wenqi Li
J. Ekanayake
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Tom Vercauteren
142
4
0
07 Jul 2019
Incremental Concept Learning via Online Generative Memory Recall
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019
Huaiyu Li
Weiming Dong
Bao-Gang Hu
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125
27
0
05 Jul 2019
NetTailor: Tuning the Architecture, Not Just the Weights
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Pedro Morgado
Nuno Vasconcelos
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107
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29 Jun 2019
Continual Learning for Robotics: Definition, Framework, Learning Strategies, Opportunities and Challenges
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Vincenzo Lomonaco
Andrei Stoian
Davide Maltoni
David Filliat
Natalia Díaz Rodríguez
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350
290
0
29 Jun 2019
Efficient Multi-Domain Network Learning by Covariance Normalization
Computer Vision and Pattern Recognition (CVPR), 2019
Yunsheng Li
Nuno Vasconcelos
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242
35
0
24 Jun 2019
Lifelong Learning Starting From Zero
Artificial General Intelligence (AGI), 2019
Claes Strannegård
Herman Carlström
Niklas Engsner
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Filip Slottner Seholm
M. Chehreghani
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60
3
0
24 Jun 2019
Beneficial perturbation network for continual learning
Shixian Wen
Laurent Itti
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96
2
0
22 Jun 2019
Continual and Multi-Task Architecture Search
Annual Meeting of the Association for Computational Linguistics (ACL), 2019
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Joey Tianyi Zhou
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180
51
0
12 Jun 2019
Task Agnostic Continual Learning via Meta Learning
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Jakub Sygnowski
Alexandre Galashov
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178
99
0
12 Jun 2019
Continual Reinforcement Learning deployed in Real-life using Policy Distillation and Sim2Real Transfer
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Hugo Caselles-Dupré
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Te Sun
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252
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11 Jun 2019
Incremental Classifier Learning Based on PEDCC-Loss and Cosine Distance
Multimedia tools and applications (MTA), 2019
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Zikuang He
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96
6
0
11 Jun 2019
Learning Adaptive Classifiers Synthesis for Generalized Few-Shot Learning
International Journal of Computer Vision (IJCV), 2019
Han-Jia Ye
Hexiang Hu
De-Chuan Zhan
288
65
0
07 Jun 2019
Uncertainty-guided Continual Learning with Bayesian Neural Networks
International Conference on Learning Representations (ICLR), 2019
Sayna Ebrahimi
Mohamed Elhoseiny
Trevor Darrell
Marcus Rohrbach
CLL
BDL
314
209
0
06 Jun 2019
Baby steps towards few-shot learning with multiple semantics
Pattern Recognition Letters (PR), 2019
Eli Schwartz
Leonid Karlinsky
Rogerio Feris
Raja Giryes
A. Bronstein
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269
114
0
05 Jun 2019
An Adaptive Random Path Selection Approach for Incremental Learning
Jathushan Rajasegaran
Munawar Hayat
Salman Khan
Fahad Shahbaz Khan
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Ming-Hsuan Yang
ODL
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161
25
0
03 Jun 2019
Continual learning with hypernetworks
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J. Oswald
Christian Henning
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440
394
0
03 Jun 2019
Deeply-supervised Knowledge Synergy
Computer Vision and Pattern Recognition (CVPR), 2019
Dawei Sun
Anbang Yao
Aojun Zhou
Hao Zhao
181
75
0
03 Jun 2019
Continual Learning of New Sound Classes using Generative Replay
IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 2019
Zhepei Wang
Y. C. Sübakan
Efthymios Tzinis
Paris Smaragdis
Laurent Charlin
VLM
237
27
0
03 Jun 2019
Incremental Few-Shot Learning for Pedestrian Attribute Recognition
International Joint Conference on Artificial Intelligence (IJCAI), 2019
Liuyu Xiang
Xiaoming Jin
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Jungong Han
Leida Li
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199
31
0
02 Jun 2019
Large Scale Incremental Learning
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Yue Wu
Yinpeng Chen
Lijuan Wang
Yuancheng Ye
Zicheng Liu
Yandong Guo
Y. Fu
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324
1,427
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30 May 2019
Meta-Learning Representations for Continual Learning
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Khurram Javed
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288
352
0
29 May 2019
Leveraging Semantics for Incremental Learning in Multi-Relational Embeddings
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178
0
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29 May 2019
Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition
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Iuliia Pliushch
Sagnik Majumder
Yongwon Hong
Visvanathan Ramesh
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261
43
0
28 May 2019
Uncertainty-based Continual Learning with Adaptive Regularization
Neural Information Processing Systems (NeurIPS), 2019
Hongjoon Ahn
Sungmin Cha
Donggyu Lee
Taesup Moon
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451
253
0
28 May 2019
Single-Net Continual Learning with Progressive Segmented Training (PST)
International Conference on Machine Learning and Applications (ICMLA), 2019
Xiaocong Du
Gouranga Charan
Frank Liu
Yu Cao
CLL
320
13
0
28 May 2019
Incremental Learning Using a Grow-and-Prune Paradigm with Efficient Neural Networks
IEEE Transactions on Emerging Topics in Computing (TETC), 2019
Xiaoliang Dai
Hongxu Yin
N. Jha
173
33
0
27 May 2019
Efficient Neural Task Adaptation by Maximum Entropy Initialization
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195
6
0
25 May 2019
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A. Mali
Daniel Kifer
C. Lee Giles
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434
21
0
25 May 2019
Variational Prototype Replays for Continual Learning
Mengmi Zhang
Tao Wang
J. Lim
Gabriel Kreiman
Jiashi Feng
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190
15
0
23 May 2019
Adversarially robust transfer learning
International Conference on Learning Representations (ICLR), 2019
Ali Shafahi
Parsa Saadatpanah
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Amin Ghiasi
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142
128
0
20 May 2019
Label Mapping Neural Networks with Response Consolidation for Class Incremental Learning
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Yang Yao
Baile Xu
Lekun Mao
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Qingwei Lin
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82
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20 May 2019
Budget-Aware Adapters for Multi-Domain Learning
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Rodrigo Berriel
Stéphane Lathuilière
Moin Nabi
T. Klein
Thiago Oliveira-Santos
Andrii Zadaianchuk
Elisa Ricci
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284
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0
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Learning What and Where to Transfer
International Conference on Machine Learning (ICML), 2019
Yunhun Jang
Hankook Lee
Sung Ju Hwang
Jinwoo Shin
201
162
0
15 May 2019
Locally Weighted Regression Pseudo-Rehearsal for Online Learning of Vehicle Dynamics
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127
12
0
13 May 2019
Large-scale weakly-supervised pre-training for video action recognition
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Deepti Ghadiyaram
Matt Feiszli
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D. Mahajan
214
313
0
02 May 2019
S
2
S^{2}
S
2
-LBI: Stochastic Split Linearized Bregman Iterations for Parsimonious Deep Learning
Yanwei Fu
Donghao Li
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Shun Zhang
Yizhou Wang
Yuan Yao
132
0
0
24 Apr 2019
Three scenarios for continual learning
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A. Tolias
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302
1,004
0
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Knowledge Flow: Improve Upon Your Teachers
Iou-Jen Liu
Jian-wei Peng
Alex Schwing
252
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0
11 Apr 2019
Variational Information Distillation for Knowledge Transfer
SungSoo Ahn
S. Hu
Andreas C. Damianou
Neil D. Lawrence
Zhenwen Dai
356
707
0
11 Apr 2019
Deep Virtual Networks for Memory Efficient Inference of Multiple Tasks
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Chanho Ahn
Juil Sock
Songhwai Oh
83
12
0
09 Apr 2019
Semantic-Aware Knowledge Preservation for Zero-Shot Sketch-Based Image Retrieval
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Lingxi Xie
Huiyu Wang
Alan Yuille
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278
125
0
05 Apr 2019
Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning
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M. Puscas
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P. Jähnichen
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529
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Long Mai
Jianming Zhang
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Zuxuan Wu
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192
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413
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0
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157
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0
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211
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Gradient based sample selection for online continual learning
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Min Lin
Baptiste Goujaud
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580
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20 Mar 2019
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Shalini Ghosh
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Yalin Wang
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143
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0
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Jie Zhang
Shalini Ghosh
Dawei Li
Serafettin Tasci
Larry Heck
Heming Zhang
C.-C. Jay Kuo
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466
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Matthew C. Gombolay
116
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