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Learning without Forgetting
v1v2v3 (latest)

Learning without Forgetting

29 June 2016
Zhizhong Li
Derek Hoiem
    CLLOODSSL
ArXiv (abs)PDFHTML

Papers citing "Learning without Forgetting"

50 / 2,270 papers shown
Title
SpotTune: Transfer Learning through Adaptive Fine-tuning
SpotTune: Transfer Learning through Adaptive Fine-tuning
Yunhui Guo
Humphrey Shi
Abhishek Kumar
Kristen Grauman
Tajana Simunic
Rogerio Feris
111
455
0
21 Nov 2018
Learning without Memorizing
Learning without Memorizing
Prithviraj Dhar
Rajat Vikram Singh
Kuan-Chuan Peng
Ziyan Wu
Rama Chellappa
CLL
113
487
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
51
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
65
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
92
103
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
64
45
0
12 Nov 2018
Evidence Transfer for Improving Clustering Tasks Using External
  Categorical Evidence
Evidence Transfer for Improving Clustering Tasks Using External Categorical Evidence
Athanasios Davvetas
I. Klampanos
V. Karkaletsis
50
5
0
09 Nov 2018
Towards continual learning in medical imaging
Towards continual learning in medical imaging
Chaitanya Baweja
Ben Glocker
Konstantinos Kamnitsas
CLL
85
57
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
54
14
0
06 Nov 2018
Closed-Loop Memory GAN for Continual Learning
Closed-Loop Memory GAN for Continual Learning
A. Rios
Laurent Itti
BDLVLM
86
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
70
25
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
72
165
0
31 Oct 2018
Gated Transfer Network for Transfer Learning
Gated Transfer Network for Transfer Learning
Yi Zhu
Jia Xue
Shawn D. Newsam
28
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
95
359
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
112
127
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
100
35
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
109
791
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
88
150
0
25 Oct 2018
Toward an AI Physicist for Unsupervised Learning
Toward an AI Physicist for Unsupervised Learning
Tailin Wu
Max Tegmark
DRLAI4CESSLOOD
107
69
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
53
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
116
311
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
100
226
0
27 Sep 2018
Non-Iterative Knowledge Fusion in Deep Convolutional Neural Networks
Non-Iterative Knowledge Fusion in Deep Convolutional Neural Networks
M. Leontev
V. Islenteva
S. Sukhov
MoMeFedML
51
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
76
334
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
84
233
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
106
148
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
116
57
0
13 Sep 2018
MotherNets: Rapid Deep Ensemble Learning
MotherNets: Rapid Deep Ensemble Learning
Abdul Wasay
Brian Hentschel
Yuze Liao
Sanyuan Chen
Stratos Idreos
58
35
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
158
125
0
10 Sep 2018
StackNet: Stacking Parameters for Continual learning
StackNet: Stacking Parameters for Continual learning
Jangho Kim
Jeesoo Kim
Nojun Kwak
CLL
29
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
85
196
0
06 Sep 2018
Metabolize Neural Network
Metabolize Neural Network
Dan Dai
Zhiwen Yu
Yang Hu
Wenming Cao
Mingnan Luo
18
0
0
04 Sep 2018
DeeSIL: Deep-Shallow Incremental Learning
DeeSIL: Deep-Shallow Incremental Learning
Eden Belouadah
Adrian Daniel Popescu
CLL
98
73
0
20 Aug 2018
Incremental Learning in Person Re-Identification
Incremental Learning in Person Re-Identification
Prajjwal Bhargava
CLL
23
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
33
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
99
1,163
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
19
13
0
24 Jul 2018
Revisiting Distillation and Incremental Classifier Learning
Revisiting Distillation and Incremental Classifier Learning
Khurram Javed
Faisal Shafait
51
66
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
53
12
0
08 Jul 2018
How To Backdoor Federated Learning
How To Backdoor Federated Learning
Eugene Bagdasaryan
Andreas Veit
Yiqing Hua
D. Estrin
Vitaly Shmatikov
SILMFedML
156
1,937
0
02 Jul 2018
Continuous Learning in Single-Incremental-Task Scenarios
Continuous Learning in Single-Incremental-Task Scenarios
Davide Maltoni
Vincenzo Lomonaco
CLL
106
311
0
22 Jun 2018
DynMat, a network that can learn after learning
DynMat, a network that can learn after learning
J. H. Lee
OffRL
101
5
0
16 Jun 2018
Selfless Sequential Learning
Selfless Sequential Learning
Rahaf Aljundi
Marcus Rohrbach
Tinne Tuytelaars
CLL
72
114
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
255
357
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
60
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
90
29
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
64
48
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
Massimiliano Mancini
Elisa Ricci
Barbara Caputo
Samuel Rota Buló
96
52
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
69
130
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
55
31
0
28 May 2018
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