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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 / 2,443 papers shown
Title
Overcoming Multi-Model Forgetting
Overcoming Multi-Model Forgetting
Yassine Benyahia
Kaicheng Yu
Kamil Bennani-Smires
Martin Jaggi
A. Davison
Mathieu Salzmann
C. Musat
MoMeKELMCLL
198
38
0
21 Feb 2019
Differentially Private Continual Learning
Differentially Private Continual Learning
Sebastian Farquhar
Y. Gal
FedMLMU
90
13
0
18 Feb 2019
Manifestation of Image Contrast in Deep Networks
Manifestation of Image Contrast in Deep Networks
A. Akbarinia
K. Gegenfurtner
78
4
0
12 Feb 2019
Controlled Forgetting: Targeted Stimulation and Dopaminergic Plasticity
  Modulation for Unsupervised Lifelong Learning in Spiking Neural Networks
Controlled Forgetting: Targeted Stimulation and Dopaminergic Plasticity Modulation for Unsupervised Lifelong Learning in Spiking Neural NetworksFrontiers in Neuroscience (Front. Neurosci.), 2019
Jason M. Allred
Kaushik Roy
CLL
169
34
0
08 Feb 2019
Depthwise Convolution is All You Need for Learning Multiple Visual
  Domains
Depthwise Convolution is All You Need for Learning Multiple Visual Domains
Yunhui Guo
Yandong Li
Rogerio Feris
Liqiang Wang
Tajana Simunic
OOD
208
187
0
03 Feb 2019
Incremental Learning with Maximum Entropy Regularization: Rethinking
  Forgetting and Intransigence
Incremental Learning with Maximum Entropy Regularization: Rethinking Forgetting and Intransigence
Dahyun Kim
Jihwan Bae
Yeonsik Jo
Jonghyun Choi
OODCLL
111
22
0
03 Feb 2019
Policy Consolidation for Continual Reinforcement Learning
Policy Consolidation for Continual Reinforcement LearningInternational Conference on Machine Learning (ICML), 2019
Christos Kaplanis
Murray Shanahan
Claudia Clopath
CLLOffRL
186
57
0
01 Feb 2019
Functional Regularisation for Continual Learning with Gaussian Processes
Functional Regularisation for Continual Learning with Gaussian ProcessesInternational Conference on Learning Representations (ICLR), 2019
Michalis K. Titsias
Jonathan Richard Schwarz
A. G. Matthews
Razvan Pascanu
Yee Whye Teh
CLLBDL
428
203
0
31 Jan 2019
DELTA: DEep Learning Transfer using Feature Map with Attention for
  Convolutional Networks
DELTA: DEep Learning Transfer using Feature Map with Attention for Convolutional Networks
Xingjian Li
Haoyi Xiong
Hanchao Wang
Yuxuan Rao
Liping Liu
Zeyu Chen
Jun Huan
199
176
0
26 Jan 2019
Backbone Can Not be Trained at Once: Rolling Back to Pre-trained Network
  for Person Re-Identification
Backbone Can Not be Trained at Once: Rolling Back to Pre-trained Network for Person Re-Identification
Youngmin Ro
Jongwon Choi
D. Jo
Byeongho Heo
Jongin Lim
J. Choi
122
16
0
18 Jan 2019
Exploring the Challenges towards Lifelong Fact Learning
Exploring the Challenges towards Lifelong Fact Learning
Mohamed Elhoseiny
F. Babiloni
Rahaf Aljundi
Marcus Rohrbach
Manohar Paluri
Tinne Tuytelaars
113
12
0
26 Dec 2018
Generative Models from the perspective of Continual Learning
Generative Models from the perspective of Continual Learning
Timothée Lesort
Hugo Caselles-Dupré
Michael Garcia Ortiz
Andrei Stoian
David Filliat
VLMDiffM
151
167
0
21 Dec 2018
A Self-Supervised Bootstrap Method for Single-Image 3D Face
  Reconstruction
A Self-Supervised Bootstrap Method for Single-Image 3D Face Reconstruction
Yifan Xing
Rahul Tewari
Paulo R. S. Mendonça
3DH
148
8
0
14 Dec 2018
Task-Free Continual Learning
Task-Free Continual Learning
Rahaf Aljundi
Klaas Kelchtermans
Tinne Tuytelaars
CLL
441
392
0
10 Dec 2018
OMNIA Faster R-CNN: Detection in the wild through dataset merging and
  soft distillation
OMNIA Faster R-CNN: Detection in the wild through dataset merging and soft distillation
Alexandre Ramé
Emilien Garreau
H. Ben-younes
Charles Ollion
ObjD
167
18
0
06 Dec 2018
Overcoming Catastrophic Forgetting by Soft Parameter Pruning
Overcoming Catastrophic Forgetting by Soft Parameter Pruning
Jian-wei Peng
Jiang Hao
Zhuo Li
Enqiang Guo
X. Wan
Min Deng
Qing Zhu
Haifeng Li
CLL
62
5
0
04 Dec 2018
Few-Shot Self Reminder to Overcome Catastrophic Forgetting
Few-Shot Self Reminder to Overcome Catastrophic Forgetting
Junfeng Wen
Yanshuai Cao
Ruitong Huang
CLL
117
24
0
03 Dec 2018
On the Transferability of Representations in Neural Networks Between
  Datasets and Tasks
On the Transferability of Representations in Neural Networks Between Datasets and Tasks
Haytham M. Fayek
L. Cavedon
H. Wu
95
5
0
29 Nov 2018
Experience Replay for Continual Learning
Experience Replay for Continual Learning
David Rolnick
Arun Ahuja
Jonathan Richard Schwarz
Timothy Lillicrap
Greg Wayne
CLL
409
1,386
0
28 Nov 2018
Partitioned Variational Inference: A unified framework encompassing
  federated and continual learning
Partitioned Variational Inference: A unified framework encompassing federated and continual learning
T. Bui
Cuong V Nguyen
S. Swaroop
Richard Turner
FedML
189
57
0
27 Nov 2018
From Recognition to Cognition: Visual Commonsense Reasoning
From Recognition to Cognition: Visual Commonsense Reasoning
Rowan Zellers
Yonatan Bisk
Ali Farhadi
Yejin Choi
LRMBDLOCLReLM
588
984
0
27 Nov 2018
Low-resolution Face Recognition in the Wild via Selective Knowledge
  Distillation
Low-resolution Face Recognition in the Wild via Selective Knowledge DistillationIEEE Transactions on Image Processing (IEEE TIP), 2018
Shiming Ge
Shengwei Zhao
Chenyu Li
Jia Li
CVBM
189
204
0
25 Nov 2018
Dynamic-Net: Tuning the Objective Without Re-training for Synthesis
  Tasks
Dynamic-Net: Tuning the Objective Without Re-training for Synthesis TasksIEEE International Conference on Computer Vision (ICCV), 2018
Alon Shoshan
Roey Mechrez
Lihi Zelnik-Manor
OOD
195
35
0
21 Nov 2018
SpotTune: Transfer Learning through Adaptive Fine-tuning
SpotTune: Transfer Learning through Adaptive Fine-tuningComputer Vision and Pattern Recognition (CVPR), 2018
Yunhui Guo
Humphrey Shi
Abhishek Kumar
Kristen Grauman
Tajana Simunic
Rogerio Feris
278
486
0
21 Nov 2018
Learning without Memorizing
Learning without MemorizingComputer Vision and Pattern Recognition (CVPR), 2018
Prithviraj Dhar
Rajat Vikram Singh
Kuan-Chuan Peng
Ziyan Wu
Rama Chellappa
CLL
222
536
0
20 Nov 2018
Transfer Learning Using Classification Layer Features of CNN
Transfer Learning Using Classification Layer Features of CNN
Tasfia Shermin
Manzur Murshed
Guojun Lu
S. Teng
152
6
0
19 Nov 2018
Towards Training Recurrent Neural Networks for Lifelong Learning
Towards Training Recurrent Neural Networks for Lifelong Learning
Shagun Sodhani
A. Chandar
Yoshua Bengio
CLL
151
19
0
16 Nov 2018
NeXtVLAD: An Efficient Neural Network to Aggregate Frame-level Features
  for Large-scale Video Classification
NeXtVLAD: An Efficient Neural Network to Aggregate Frame-level Features for Large-scale Video Classification
Rongcheng Lin
Jing Xiao
Jianping Fan
VLM
198
106
0
12 Nov 2018
Extending Pretrained Segmentation Networks with Additional Anatomical
  Structures
Extending Pretrained Segmentation Networks with Additional Anatomical Structures
Firat Özdemir
Orçun Göksel
CLL
127
47
0
12 Nov 2018
Evidence Transfer for Improving Clustering Tasks Using External
  Categorical Evidence
Evidence Transfer for Improving Clustering Tasks Using External Categorical EvidenceIEEE International Joint Conference on Neural Network (IJCNN), 2018
Athanasios Davvetas
I. Klampanos
V. Karkaletsis
162
5
0
09 Nov 2018
Towards continual learning in medical imaging
Towards continual learning in medical imaging
Chaitanya Baweja
Ben Glocker
Konstantinos Kamnitsas
CLL
147
60
0
06 Nov 2018
On the role of neurogenesis in overcoming catastrophic forgetting
On the role of neurogenesis in overcoming catastrophic forgetting
G. I. Parisi
Jongsoo Keum
Hojung Nam
CLLOffRL
121
14
0
06 Nov 2018
Closed-Loop Memory GAN for Continual Learning
Closed-Loop Memory GAN for Continual Learning
A. Rios
Laurent Itti
BDLVLM
201
22
0
03 Nov 2018
Progressive Memory Banks for Incremental Domain Adaptation
Progressive Memory Banks for Incremental Domain Adaptation
Nabiha Asghar
Lili Mou
Kira A. Selby
Kevin D. Pantasdo
Pascal Poupart
Xin Jiang
CLL
189
26
0
01 Nov 2018
Don't forget, there is more than forgetting: new metrics for Continual
  Learning
Don't forget, there is more than forgetting: new metrics for Continual Learning
Natalia Díaz Rodríguez
Vincenzo Lomonaco
David Filliat
Davide Maltoni
CLL
203
177
0
31 Oct 2018
Gated Transfer Network for Transfer Learning
Gated Transfer Network for Transfer Learning
Yi Zhu
Jia Xue
Shawn D. Newsam
120
2
0
30 Oct 2018
Re-evaluating Continual Learning Scenarios: A Categorization and Case
  for Strong Baselines
Re-evaluating Continual Learning Scenarios: A Categorization and Case for Strong Baselines
Yen-Chang Hsu
Yen-Cheng Liu
Anita Ramasamy
Z. Kira
CLLELM
342
381
0
30 Oct 2018
Incremental Learning for Semantic Segmentation of Large-Scale Remote
  Sensing Data
Incremental Learning for Semantic Segmentation of Large-Scale Remote Sensing Data
O. Tasar
Y. Tarabalka
Pierre Alliez
CLL
151
140
0
29 Oct 2018
Marginal Replay vs Conditional Replay for Continual Learning
Marginal Replay vs Conditional Replay for Continual Learning
Timothée Lesort
A. Gepperth
Andrei Stoian
David Filliat
BDL
293
36
0
29 Oct 2018
Learning to Learn without Forgetting by Maximizing Transfer and
  Minimizing Interference
Learning to Learn without Forgetting by Maximizing Transfer and Minimizing Interference
Matthew D Riemer
Ignacio Cases
R. Ajemian
Miao Liu
Irina Rish
Y. Tu
Gerald Tesauro
CLL
365
861
0
29 Oct 2018
Fast Neural Architecture Search of Compact Semantic Segmentation Models
  via Auxiliary Cells
Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells
Vladimir Nekrasov
Hao Chen
Chunhua Shen
Ian Reid
SSeg
222
153
0
25 Oct 2018
Toward an AI Physicist for Unsupervised Learning
Toward an AI Physicist for Unsupervised Learning
Tailin Wu
Max Tegmark
DRLAI4CESSLOOD
189
71
0
24 Oct 2018
Target Aware Network Adaptation for Efficient Representation Learning
Target Aware Network Adaptation for Efficient Representation Learning
Yang Zhong
Vladimir Li
R. Okada
A. Maki
116
6
0
02 Oct 2018
Continual Learning of Context-dependent Processing in Neural Networks
Continual Learning of Context-dependent Processing in Neural Networks
Guanxiong Zeng
Yang Chen
Bo Cui
Shan Yu
CLL
279
351
0
29 Sep 2018
Generative replay with feedback connections as a general strategy for
  continual learning
Generative replay with feedback connections as a general strategy for continual learning
Gido M. van de Ven
A. Tolias
CLLKELM
202
244
0
27 Sep 2018
Non-Iterative Knowledge Fusion in Deep Convolutional Neural Networks
Non-Iterative Knowledge Fusion in Deep Convolutional Neural NetworksNeural Processing Letters (NPL), 2018
M. Leontev
V. Islenteva
S. Sukhov
MoMeFedML
84
24
0
25 Sep 2018
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
203
337
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
267
253
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
252
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
270
59
0
13 Sep 2018
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