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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 / 2,444 papers shown
Title
Continual Learning for Robotics: Definition, Framework, Learning
  Strategies, Opportunities and Challenges
Continual Learning for Robotics: Definition, Framework, Learning Strategies, Opportunities and ChallengesInformation Fusion (Inf. Fusion), 2019
Timothée Lesort
Vincenzo Lomonaco
Andrei Stoian
Davide Maltoni
David Filliat
Natalia Díaz Rodríguez
CLL
304
283
0
29 Jun 2019
Efficient Multi-Domain Network Learning by Covariance Normalization
Efficient Multi-Domain Network Learning by Covariance NormalizationComputer Vision and Pattern Recognition (CVPR), 2019
Yunsheng Li
Nuno Vasconcelos
OOD
186
35
0
24 Jun 2019
Lifelong Learning Starting From Zero
Lifelong Learning Starting From ZeroArtificial General Intelligence (AGI), 2019
Claes Strannegård
Herman Carlström
Niklas Engsner
Fredrik Mäkeläinen
Filip Slottner Seholm
M. Chehreghani
AI4CEKELMCLL
51
3
0
24 Jun 2019
Beneficial perturbation network for continual learning
Beneficial perturbation network for continual learning
Shixian Wen
Laurent Itti
CLLKELM
82
2
0
22 Jun 2019
Continual and Multi-Task Architecture Search
Continual and Multi-Task Architecture SearchAnnual Meeting of the Association for Computational Linguistics (ACL), 2019
Ramakanth Pasunuru
Joey Tianyi Zhou
CLL
159
51
0
12 Jun 2019
Task Agnostic Continual Learning via Meta Learning
Task Agnostic Continual Learning via Meta Learning
Xu He
Jakub Sygnowski
Alexandre Galashov
Andrei A. Rusu
Yee Whye Teh
Razvan Pascanu
OODCLLFedML
148
98
0
12 Jun 2019
Continual Reinforcement Learning deployed in Real-life using Policy
  Distillation and Sim2Real Transfer
Continual Reinforcement Learning deployed in Real-life using Policy Distillation and Sim2Real Transfer
Kalifou René Traoré
Hugo Caselles-Dupré
Timothée Lesort
Te Sun
Natalia Díaz Rodríguez
David Filliat
CLLOffRL
213
47
0
11 Jun 2019
Incremental Classifier Learning Based on PEDCC-Loss and Cosine Distance
Incremental Classifier Learning Based on PEDCC-Loss and Cosine DistanceMultimedia tools and applications (MTA), 2019
Qiuyu Zhu
Zikuang He
Xin Ye
CLL
92
6
0
11 Jun 2019
Learning Adaptive Classifiers Synthesis for Generalized Few-Shot
  Learning
Learning Adaptive Classifiers Synthesis for Generalized Few-Shot LearningInternational Journal of Computer Vision (IJCV), 2019
Han-Jia Ye
Hexiang Hu
De-Chuan Zhan
237
63
0
07 Jun 2019
Uncertainty-guided Continual Learning with Bayesian Neural Networks
Uncertainty-guided Continual Learning with Bayesian Neural NetworksInternational Conference on Learning Representations (ICLR), 2019
Sayna Ebrahimi
Mohamed Elhoseiny
Trevor Darrell
Marcus Rohrbach
CLLBDL
262
207
0
06 Jun 2019
Baby steps towards few-shot learning with multiple semantics
Baby steps towards few-shot learning with multiple semanticsPattern Recognition Letters (PR), 2019
Eli Schwartz
Leonid Karlinsky
Rogerio Feris
Raja Giryes
A. Bronstein
VLM
234
114
0
05 Jun 2019
An Adaptive Random Path Selection Approach for Incremental Learning
An Adaptive Random Path Selection Approach for Incremental Learning
Jathushan Rajasegaran
Munawar Hayat
Salman Khan
Fahad Shahbaz Khan
Ling Shao
Ming-Hsuan Yang
ODLCLL
140
25
0
03 Jun 2019
Continual learning with hypernetworks
Continual learning with hypernetworksInternational Conference on Learning Representations (ICLR), 2019
J. Oswald
Christian Henning
Benjamin Grewe
João Sacramento
CLL
369
385
0
03 Jun 2019
Deeply-supervised Knowledge Synergy
Deeply-supervised Knowledge SynergyComputer Vision and Pattern Recognition (CVPR), 2019
Dawei Sun
Anbang Yao
Aojun Zhou
Hao Zhao
161
74
0
03 Jun 2019
Continual Learning of New Sound Classes using Generative Replay
Continual Learning of New Sound Classes using Generative ReplayIEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 2019
Zhepei Wang
Y. C. Sübakan
Efthymios Tzinis
Paris Smaragdis
Laurent Charlin
VLM
201
27
0
03 Jun 2019
Incremental Few-Shot Learning for Pedestrian Attribute Recognition
Incremental Few-Shot Learning for Pedestrian Attribute RecognitionInternational Joint Conference on Artificial Intelligence (IJCAI), 2019
Liuyu Xiang
Xiaoming Jin
Guiguang Ding
Jungong Han
Leida Li
CLL
178
31
0
02 Jun 2019
Large Scale Incremental Learning
Large Scale Incremental LearningComputer Vision and Pattern Recognition (CVPR), 2019
Yue Wu
Yinpeng Chen
Lijuan Wang
Yuancheng Ye
Zicheng Liu
Yandong Guo
Y. Fu
CLL
277
1,411
0
30 May 2019
Meta-Learning Representations for Continual Learning
Meta-Learning Representations for Continual LearningNeural Information Processing Systems (NeurIPS), 2019
Khurram Javed
Martha White
KELMCLL
237
346
0
29 May 2019
Leveraging Semantics for Incremental Learning in Multi-Relational
  Embeddings
Leveraging Semantics for Incremental Learning in Multi-Relational Embeddings
A. Daruna
Weiyu Liu
Z. Kira
Sonia Chernova
145
0
0
29 May 2019
Unified Probabilistic Deep Continual Learning through Generative Replay
  and Open Set Recognition
Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set RecognitionJournal of Imaging (J. Imaging), 2019
Martin Mundt
Iuliia Pliushch
Sagnik Majumder
Yongwon Hong
Visvanathan Ramesh
UQCVBDL
226
43
0
28 May 2019
Uncertainty-based Continual Learning with Adaptive Regularization
Uncertainty-based Continual Learning with Adaptive RegularizationNeural Information Processing Systems (NeurIPS), 2019
Hongjoon Ahn
Sungmin Cha
Donggyu Lee
Taesup Moon
BDL
422
246
0
28 May 2019
Single-Net Continual Learning with Progressive Segmented Training (PST)
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
276
13
0
28 May 2019
Incremental Learning Using a Grow-and-Prune Paradigm with Efficient
  Neural Networks
Incremental Learning Using a Grow-and-Prune Paradigm with Efficient Neural NetworksIEEE Transactions on Emerging Topics in Computing (TETC), 2019
Xiaoliang Dai
Hongxu Yin
N. Jha
141
33
0
27 May 2019
Efficient Neural Task Adaptation by Maximum Entropy Initialization
Efficient Neural Task Adaptation by Maximum Entropy Initialization
Farshid Varno
Behrouz Haji Soleimani
Marzie Saghayi
Di-Jorio Lisa
Stan Matwin
AAML
168
6
0
25 May 2019
Lifelong Neural Predictive Coding: Learning Cumulatively Online without
  Forgetting
Lifelong Neural Predictive Coding: Learning Cumulatively Online without ForgettingNeural Information Processing Systems (NeurIPS), 2019
Alexander Ororbia
A. Mali
Daniel Kifer
C. Lee Giles
CLLKELM
378
21
0
25 May 2019
Variational Prototype Replays for Continual Learning
Variational Prototype Replays for Continual Learning
Mengmi Zhang
Tao Wang
J. Lim
Gabriel Kreiman
Jiashi Feng
VLMCLL
157
15
0
23 May 2019
Adversarially robust transfer learning
Adversarially robust transfer learningInternational Conference on Learning Representations (ICLR), 2019
Ali Shafahi
Parsa Saadatpanah
Chen Zhu
Amin Ghiasi
Christoph Studer
David Jacobs
Tom Goldstein
OOD
136
128
0
20 May 2019
Label Mapping Neural Networks with Response Consolidation for Class
  Incremental Learning
Label Mapping Neural Networks with Response Consolidation for Class Incremental Learning
Xu Zhang
Yang Yao
Baile Xu
Lekun Mao
S. Furao
Jian Zhao
Qingwei Lin
CLL
74
2
0
20 May 2019
Budget-Aware Adapters for Multi-Domain Learning
Budget-Aware Adapters for Multi-Domain LearningIEEE International Conference on Computer Vision (ICCV), 2019
Rodrigo Berriel
Stéphane Lathuilière
Moin Nabi
T. Klein
Thiago Oliveira-Santos
Andrii Zadaianchuk
Elisa Ricci
OOD
207
44
0
15 May 2019
Learning What and Where to Transfer
Learning What and Where to TransferInternational Conference on Machine Learning (ICML), 2019
Yunhun Jang
Hankook Lee
Sung Ju Hwang
Jinwoo Shin
157
159
0
15 May 2019
Locally Weighted Regression Pseudo-Rehearsal for Online Learning of
  Vehicle Dynamics
Locally Weighted Regression Pseudo-Rehearsal for Online Learning of Vehicle Dynamics
Grady Williams
Brian Goldfain
James M. Rehg
Evangelos A. Theodorou
120
12
0
13 May 2019
Large-scale weakly-supervised pre-training for video action recognition
Large-scale weakly-supervised pre-training for video action recognitionComputer Vision and Pattern Recognition (CVPR), 2019
Deepti Ghadiyaram
Matt Feiszli
Du Tran
Xueting Yan
Heng Wang
D. Mahajan
171
313
0
02 May 2019
$S^{2}$-LBI: Stochastic Split Linearized Bregman Iterations for
  Parsimonious Deep Learning
S2S^{2}S2-LBI: Stochastic Split Linearized Bregman Iterations for Parsimonious Deep Learning
Yanwei Fu
Donghao Li
Xinwei Sun
Shun Zhang
Yizhou Wang
Yuan Yao
101
0
0
24 Apr 2019
Three scenarios for continual learning
Three scenarios for continual learning
Gido M. van de Ven
A. Tolias
CLL
275
992
0
15 Apr 2019
Knowledge Flow: Improve Upon Your Teachers
Knowledge Flow: Improve Upon Your Teachers
Iou-Jen Liu
Jian-wei Peng
Alex Schwing
218
64
0
11 Apr 2019
Variational Information Distillation for Knowledge Transfer
Variational Information Distillation for Knowledge Transfer
SungSoo Ahn
S. Hu
Andreas C. Damianou
Neil D. Lawrence
Zhenwen Dai
342
693
0
11 Apr 2019
Deep Virtual Networks for Memory Efficient Inference of Multiple Tasks
Deep Virtual Networks for Memory Efficient Inference of Multiple Tasks
Eunwoo Kim
Chanho Ahn
Juil Sock
Songhwai Oh
79
12
0
09 Apr 2019
Semantic-Aware Knowledge Preservation for Zero-Shot Sketch-Based Image
  Retrieval
Semantic-Aware Knowledge Preservation for Zero-Shot Sketch-Based Image Retrieval
Qing Liu
Lingxi Xie
Huiyu Wang
Alan Yuille
VLM
241
122
0
05 Apr 2019
Learning to Remember: A Synaptic Plasticity Driven Framework for
  Continual Learning
Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning
O. Ostapenko
M. Puscas
T. Klein
P. Jähnichen
Moin Nabi
CLL
447
334
0
05 Apr 2019
M2KD: Multi-model and Multi-level Knowledge Distillation for Incremental
  Learning
M2KD: Multi-model and Multi-level Knowledge Distillation for Incremental Learning
Peng Zhou
Long Mai
Jianming Zhang
N. Xu
Zuxuan Wu
L. Davis
CLLVLM
165
58
0
03 Apr 2019
Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild
Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild
Kibok Lee
Kimin Lee
Jinwoo Shin
Honglak Lee
CLL
335
222
0
29 Mar 2019
RILOD: Near Real-Time Incremental Learning for Object Detection at the
  Edge
RILOD: Near Real-Time Incremental Learning for Object Detection at the Edge
Dawei Li
Serafettin Tasci
Shalini Ghosh
Jingwen Zhu
Junting Zhang
Larry Heck
ObjD
139
11
0
26 Mar 2019
Multi-Attribute Selectivity Estimation Using Deep Learning
Multi-Attribute Selectivity Estimation Using Deep Learning
Shohedul Hasan
Saravanan Thirumuruganathan
Jees Augustine
Nick Koudas
Gautam Das
210
26
0
24 Mar 2019
Gradient based sample selection for online continual learning
Gradient based sample selection for online continual learningNeural Information Processing Systems (NeurIPS), 2019
Rahaf Aljundi
Min Lin
Baptiste Goujaud
Yoshua Bengio
BDLCLL
547
939
0
20 Mar 2019
Regularize, Expand and Compress: Multi-task based Lifelong Learning via
  NonExpansive AutoML
Regularize, Expand and Compress: Multi-task based Lifelong Learning via NonExpansive AutoML
Jie Zhang
Junting Zhang
Shalini Ghosh
Dawei Li
Jingwen Zhu
Heming Zhang
Yalin Wang
CLL
106
2
0
20 Mar 2019
Class-incremental Learning via Deep Model Consolidation
Class-incremental Learning via Deep Model ConsolidationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2019
Junting Zhang
Jie Zhang
Shalini Ghosh
Dawei Li
Serafettin Tasci
Larry Heck
Heming Zhang
C.-C. Jay Kuo
CLL
430
368
0
19 Mar 2019
Inferring Personalized Bayesian Embeddings for Learning from
  Heterogeneous Demonstration
Inferring Personalized Bayesian Embeddings for Learning from Heterogeneous Demonstration
Rohan R. Paleja
Matthew C. Gombolay
96
7
0
14 Mar 2019
Representative Task Self-selection for Flexible Clustered Lifelong
  Learning
Representative Task Self-selection for Flexible Clustered Lifelong LearningIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019
Gan Sun
Yang Cong
Qianqian Wang
Bineng Zhong
Y. Fu
CLL
183
57
0
06 Mar 2019
3D Hand Shape and Pose Estimation from a Single RGB Image
3D Hand Shape and Pose Estimation from a Single RGB ImageComputer Vision and Pattern Recognition (CVPR), 2019
Liuhao Ge
Zhou Ren
Yuncheng Li
Zehao Xue
Yingying Wang
Jianfei Cai
Junsong Yuan
3DH
291
482
0
03 Mar 2019
On Tiny Episodic Memories in Continual Learning
On Tiny Episodic Memories in Continual Learning
Arslan Chaudhry
Marcus Rohrbach
Mohamed Elhoseiny
Thalaiyasingam Ajanthan
P. Dokania
Juil Sock
MarcÁurelio Ranzato
CLL
633
441
0
27 Feb 2019
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