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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 / 2,447 papers shown
Semi-Supervised Sequence Modeling with Cross-View Training
Semi-Supervised Sequence Modeling with Cross-View Training
Kevin Clark
Minh-Thang Luong
Christopher D. Manning
Quoc V. Le
SSL
247
339
0
22 Sep 2018
Memory Efficient Experience Replay for Streaming Learning
Memory Efficient Experience Replay for Streaming Learning
Tyler L. Hayes
N. Cahill
Christopher Kanan
322
256
0
16 Sep 2018
Real-Time Joint Semantic Segmentation and Depth Estimation Using
  Asymmetric Annotations
Real-Time Joint Semantic Segmentation and Depth Estimation Using Asymmetric Annotations
Vladimir Nekrasov
Thanuja Dharmasiri
Andrew Spek
Tom Drummond
Chunhua Shen
Ian Reid
261
155
0
13 Sep 2018
Sim-to-Real Transfer Learning using Robustified Controllers in Robotic
  Tasks involving Complex Dynamics
Sim-to-Real Transfer Learning using Robustified Controllers in Robotic Tasks involving Complex Dynamics
J. Baar
Alan Sullivan
Radu Cordorel
Devesh K. Jha
Diego Romeres
D. Nikovski
346
60
0
13 Sep 2018
MotherNets: Rapid Deep Ensemble Learning
MotherNets: Rapid Deep Ensemble Learning
Abdul Wasay
Brian Hentschel
Yuze Liao
Sanyuan Chen
Stratos Idreos
176
39
0
12 Sep 2018
Recent Advances in Object Detection in the Age of Deep Convolutional
  Neural Networks
Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks
Shivang Agarwal
Jean Ogier du Terrail
F. Jurie
ObjD
351
138
0
10 Sep 2018
StackNet: Stacking Parameters for Continual learning
StackNet: Stacking Parameters for Continual learning
Jangho Kim
Jeesoo Kim
Nojun Kwak
CLL
208
6
0
07 Sep 2018
Memory Replay GANs: learning to generate images from new categories
  without forgetting
Memory Replay GANs: learning to generate images from new categories without forgetting
Chenshen Wu
Luis Herranz
Xialei Liu
Yaxing Wang
Joost van de Weijer
Bogdan Raducanu
CLLVLMGAN
350
202
0
06 Sep 2018
Metabolize Neural Network
Metabolize Neural Network
Dan Dai
Zhiwen Yu
Yang Hu
Wenming Cao
Mingnan Luo
81
0
0
04 Sep 2018
DeeSIL: Deep-Shallow Incremental Learning
DeeSIL: Deep-Shallow Incremental Learning
Eden Belouadah
Adrian Daniel Popescu
CLL
210
75
0
20 Aug 2018
Incremental Learning in Person Re-Identification
Incremental Learning in Person Re-Identification
Prajjwal Bhargava
CLL
161
2
0
20 Aug 2018
Concept Mask: Large-Scale Segmentation from Semantic Concepts
Concept Mask: Large-Scale Segmentation from Semantic Concepts
Yufei Wang
Zhe Lin
Xiaohui Shen
Jianming Zhang
Scott D. Cohen
VLM
107
2
0
18 Aug 2018
End-to-End Incremental Learning
End-to-End Incremental Learning
F. M. Castro
M. Marín-Jiménez
Nicolás Guil Mata
Cordelia Schmid
Alahari Karteek
CLL
527
1,266
0
25 Jul 2018
Example Mining for Incremental Learning in Medical Imaging
Example Mining for Incremental Learning in Medical Imaging
Pratyush Kumar
Muktabh Mayank Srivastava
OODCLL
136
16
0
24 Jul 2018
Revisiting Distillation and Incremental Classifier Learning
Revisiting Distillation and Incremental Classifier LearningAsian Conference on Computer Vision (ACCV), 2018
Khurram Javed
Faisal Shafait
163
68
0
08 Jul 2018
Distillation Techniques for Pseudo-rehearsal Based Incremental Learning
Distillation Techniques for Pseudo-rehearsal Based Incremental Learning
Haseeb Shah
Khurram Javed
Faisal Shafait
CLL
204
12
0
08 Jul 2018
How To Backdoor Federated Learning
How To Backdoor Federated LearningInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2018
Eugene Bagdasaryan
Andreas Veit
Yiqing Hua
D. Estrin
Vitaly Shmatikov
SILMFedML
562
2,306
0
02 Jul 2018
Continuous Learning in Single-Incremental-Task Scenarios
Continuous Learning in Single-Incremental-Task Scenarios
Davide Maltoni
Vincenzo Lomonaco
CLL
291
328
0
22 Jun 2018
DynMat, a network that can learn after learning
DynMat, a network that can learn after learning
J. H. Lee
OffRL
213
6
0
16 Jun 2018
Selfless Sequential Learning
Selfless Sequential Learning
Rahaf Aljundi
Marcus Rohrbach
Tinne Tuytelaars
CLL
228
120
0
14 Jun 2018
Delta-encoder: an effective sample synthesis method for few-shot object
  recognition
Delta-encoder: an effective sample synthesis method for few-shot object recognition
Eli Schwartz
Leonid Karlinsky
J. Shtok
Sivan Harary
Mattias Marder
Rogerio Feris
Abhishek Kumar
Raja Giryes
A. Bronstein
572
382
0
12 Jun 2018
Covariance constraints for stochastic inverse problems of computer
  models
Covariance constraints for stochastic inverse problems of computer models
Nicolas Bousquet
Mélanie Blazère
Thomas Cerbelaud
297
0
0
09 Jun 2018
SupportNet: solving catastrophic forgetting in class incremental
  learning with support data
SupportNet: solving catastrophic forgetting in class incremental learning with support data
Yu Li
Zhongxiao Li
Lizhong Ding
Yijie Pan
Peng Yang
Yuhui Hu
Wei Chen
Xin Gao
CLL
256
31
0
08 Jun 2018
Learn the new, keep the old: Extending pretrained models with new
  anatomy and images
Learn the new, keep the old: Extending pretrained models with new anatomy and images
Firat Özdemir
Philipp Fürnstahl
Orçun Göksel
CLL
156
49
0
01 Jun 2018
Adding New Tasks to a Single Network with Weight Transformations using
  Binary Masks
Adding New Tasks to a Single Network with Weight Transformations using Binary Masks
Goran Frehse
Elisa Ricci
Barbara Caputo
Samuel Rota Buló
222
55
0
28 May 2018
Lifelong Learning of Spatiotemporal Representations with Dual-Memory
  Recurrent Self-Organization
Lifelong Learning of Spatiotemporal Representations with Dual-Memory Recurrent Self-Organization
G. I. Parisi
Jun Tani
C. Weber
S. Wermter
CLL
248
133
0
28 May 2018
Keep and Learn: Continual Learning by Constraining the Latent Space for
  Knowledge Preservation in Neural Networks
Keep and Learn: Continual Learning by Constraining the Latent Space for Knowledge Preservation in Neural Networks
Hyo-Eun Kim
Seungwook Kim
Jaehwan Lee
CLL
91
31
0
28 May 2018
Self-Net: Lifelong Learning via Continual Self-Modeling
Self-Net: Lifelong Learning via Continual Self-Modeling
Blake Camp
J. Mandivarapu
Rolando Estrada
CLLSSL
183
18
0
25 May 2018
Towards Robust Evaluations of Continual Learning
Towards Robust Evaluations of Continual Learning
Sebastian Farquhar
Y. Gal
CLL
385
320
0
24 May 2018
Overcoming catastrophic forgetting problem by weight consolidation and
  long-term memory
Overcoming catastrophic forgetting problem by weight consolidation and long-term memory
Shixian Wen
Laurent Itti
CLL
94
18
0
18 May 2018
Progress & Compress: A scalable framework for continual learning
Progress & Compress: A scalable framework for continual learning
Jonathan Richard Schwarz
Jelena Luketina
Wojciech M. Czarnecki
A. Grabska-Barwinska
Yee Whye Teh
Razvan Pascanu
R. Hadsell
CLL
492
969
0
16 May 2018
Born Again Neural Networks
Born Again Neural Networks
Tommaso Furlanello
Zachary Chase Lipton
Michael Tschannen
Laurent Itti
Anima Anandkumar
758
1,137
0
12 May 2018
TreeSegNet: Adaptive Tree CNNs for Subdecimeter Aerial Image
  Segmentation
TreeSegNet: Adaptive Tree CNNs for Subdecimeter Aerial Image Segmentation
Kai Yue
Lei Yang
Ruirui Li
Wei Hu
Fan Zhang
Wei Li
SSeg
174
4
0
29 Apr 2018
Multi-level Semantic Feature Augmentation for One-shot Learning
Multi-level Semantic Feature Augmentation for One-shot Learning
Z. Chen
Yanwei Fu
Yinda Zhang
Yu-Gang Jiang
Xiangyang Xue
Leonid Sigal
345
265
0
15 Apr 2018
Comparatives, Quantifiers, Proportions: A Multi-Task Model for the
  Learning of Quantities from Vision
Comparatives, Quantifiers, Proportions: A Multi-Task Model for the Learning of Quantities from Vision
Sandro Pezzelle
Ionut-Teodor Sorodoc
Raffaella Bernardi
121
9
0
13 Apr 2018
Personalized Dynamics Models for Adaptive Assistive Navigation Systems
Personalized Dynamics Models for Adaptive Assistive Navigation Systems
Eshed Ohn-Bar
Kris Kitani
Chieko Asakawa
168
34
0
11 Apr 2018
Improving Confidence Estimates for Unfamiliar Examples
Improving Confidence Estimates for Unfamiliar Examples
Zhizhong Li
Derek Hoiem
273
11
0
09 Apr 2018
Task Agnostic Continual Learning Using Online Variational Bayes
Task Agnostic Continual Learning Using Online Variational Bayes
Chen Zeno
Itay Golan
Elad Hoffer
Daniel Soudry
CLLFedMLBDL
363
124
0
27 Mar 2018
Efficient parametrization of multi-domain deep neural networks
Efficient parametrization of multi-domain deep neural networks
Sylvestre-Alvise Rebuffi
Hakan Bilen
Andrea Vedaldi
OOD
200
381
0
27 Mar 2018
DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised
  Domain Adaptation
DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation
B. Damodaran
B. Kellenberger
Rémi Flamary
D. Tuia
Nicolas Courty
OTOOD
343
511
0
27 Mar 2018
Knowledge Transfer with Jacobian Matching
Knowledge Transfer with Jacobian MatchingInternational Conference on Machine Learning (ICML), 2018
Suraj Srinivas
François Fleuret
207
179
0
01 Mar 2018
Memory-based Parameter Adaptation
Memory-based Parameter AdaptationInternational Conference on Learning Representations (ICLR), 2018
Pablo Sprechmann
Siddhant M. Jayakumar
Jack W. Rae
Alexander Pritzel
Adria Puigdomenech Badia
Benigno Uria
Oriol Vinyals
Demis Hassabis
Razvan Pascanu
Charles Blundell
ODLOODVLM
169
102
0
28 Feb 2018
SeNA-CNN: Overcoming Catastrophic Forgetting in Convolutional Neural
  Networks by Selective Network Augmentation
SeNA-CNN: Overcoming Catastrophic Forgetting in Convolutional Neural Networks by Selective Network Augmentation
Abel S. Zacarias
Luís A. Alexandre
CLL
124
13
0
22 Feb 2018
Continual Lifelong Learning with Neural Networks: A Review
Continual Lifelong Learning with Neural Networks: A Review
G. I. Parisi
Ronald Kemker
Jose L. Part
Christopher Kanan
S. Wermter
KELMCLL
708
3,256
1
21 Feb 2018
Tree-CNN: A Hierarchical Deep Convolutional Neural Network for
  Incremental Learning
Tree-CNN: A Hierarchical Deep Convolutional Neural Network for Incremental Learning
Deboleena Roy
Priyadarshini Panda
Kaushik Roy
BDLOODCLL
249
229
0
15 Feb 2018
Disjoint Multi-task Learning between Heterogeneous Human-centric Tasks
Disjoint Multi-task Learning between Heterogeneous Human-centric Tasks
Dong-Jin Kim
Jinsoo Choi
Tae-Hyun Oh
Youngjin Yoon
In So Kweon
150
28
0
14 Feb 2018
Progressive Reinforcement Learning with Distillation for Multi-Skilled
  Motion Control
Progressive Reinforcement Learning with Distillation for Multi-Skilled Motion Control
Glen Berseth
Kevin Xie
Paul Cernek
M. van de Panne
125
59
0
13 Feb 2018
Rotate your Networks: Better Weight Consolidation and Less Catastrophic
  Forgetting
Rotate your Networks: Better Weight Consolidation and Less Catastrophic Forgetting
Xialei Liu
Marc Masana
Luis Herranz
Joost van de Weijer
Antonio M. López
Andrew D. Bagdanov
CLL
531
312
0
08 Feb 2018
Explicit Inductive Bias for Transfer Learning with Convolutional
  Networks
Explicit Inductive Bias for Transfer Learning with Convolutional Networks
Xuhong Li
Yves Grandvalet
Franck Davoine
SSL
351
403
0
05 Feb 2018
Alleviating catastrophic forgetting using context-dependent gating and
  synaptic stabilization
Alleviating catastrophic forgetting using context-dependent gating and synaptic stabilization
Nicolas Y. Masse
Gregory D. Grant
David J. Freedman
241
305
0
02 Feb 2018
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