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Learning without Forgetting

Learning without Forgetting

29 June 2016
Zhizhong Li
Derek Hoiem
    CLL
    OOD
    SSL
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Papers citing "Learning without Forgetting"

50 / 2,212 papers shown
Title
Closed-Loop Memory GAN for Continual Learning
Closed-Loop Memory GAN for Continual Learning
A. Rios
Laurent Itti
BDL
VLM
16
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
6
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
11
160
0
31 Oct 2018
Gated Transfer Network for Transfer Learning
Gated Transfer Network for Transfer Learning
Yi Zhu
Jia Xue
Shawn D. Newsam
11
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
CLL
ELM
13
350
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
6
126
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
27
34
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
33
765
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
13
147
0
25 Oct 2018
Toward an AI Physicist for Unsupervised Learning
Toward an AI Physicist for Unsupervised Learning
Tailin Wu
Max Tegmark
DRL
AI4CE
SSL
OOD
14
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
19
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
27
294
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
CLL
KELM
32
223
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
MoMe
FedML
19
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
11
333
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
4
226
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
29
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
25
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
6
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
24
123
0
10 Sep 2018
StackNet: Stacking Parameters for Continual learning
StackNet: Stacking Parameters for Continual learning
Jangho Kim
Jeesoo Kim
Nojun Kwak
CLL
22
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
CLL
VLM
GAN
11
193
0
06 Sep 2018
Metabolize Neural Network
Metabolize Neural Network
Dan Dai
Zhiwen Yu
Yang Hu
Wenming Cao
Mingnan Luo
6
0
0
04 Sep 2018
DeeSIL: Deep-Shallow Incremental Learning
DeeSIL: Deep-Shallow Incremental Learning
Eden Belouadah
Adrian Daniel Popescu
CLL
17
73
0
20 Aug 2018
Incremental Learning in Person Re-Identification
Incremental Learning in Person Re-Identification
Prajjwal Bhargava
CLL
16
2
0
20 Aug 2018
Concept Mask: Large-Scale Segmentation from Semantic Concepts
Concept Mask: Large-Scale Segmentation from Semantic Concepts
Yufei Wang
Zhe-nan Lin
Xiaohui Shen
Jianming Zhang
Scott D. Cohen
VLM
16
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
17
1,141
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
OOD
CLL
12
13
0
24 Jul 2018
Revisiting Distillation and Incremental Classifier Learning
Revisiting Distillation and Incremental Classifier Learning
Khurram Javed
Faisal Shafait
13
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
13
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
SILM
FedML
13
1,873
0
02 Jul 2018
Continuous Learning in Single-Incremental-Task Scenarios
Continuous Learning in Single-Incremental-Task Scenarios
Davide Maltoni
Vincenzo Lomonaco
CLL
27
307
0
22 Jun 2018
DynMat, a network that can learn after learning
DynMat, a network that can learn after learning
J. H. Lee
OffRL
24
5
0
16 Jun 2018
Selfless Sequential Learning
Selfless Sequential Learning
Rahaf Aljundi
Marcus Rohrbach
Tinne Tuytelaars
CLL
28
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
192
351
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
25
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
20
28
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
33
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
25
51
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
16
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
6
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
CLL
SSL
27
16
0
25 May 2018
Towards Robust Evaluations of Continual Learning
Towards Robust Evaluations of Continual Learning
Sebastian Farquhar
Y. Gal
CLL
28
305
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
8
15
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
22
871
0
16 May 2018
Born Again Neural Networks
Born Again Neural Networks
Tommaso Furlanello
Zachary Chase Lipton
Michael Tschannen
Laurent Itti
Anima Anandkumar
36
1,020
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
24
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
18
231
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
13
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 M. Kitani
Chieko Asakawa
19
29
0
11 Apr 2018
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