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Progressive Neural Networks
v1v2v3v4 (latest)

Progressive Neural Networks

15 June 2016
Andrei A. Rusu
Neil C. Rabinowitz
Guillaume Desjardins
Hubert Soyer
J. Kirkpatrick
Koray Kavukcuoglu
Razvan Pascanu
R. Hadsell
    CLLAI4CE
ArXiv (abs)PDFHTML

Papers citing "Progressive Neural Networks"

50 / 1,517 papers shown
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
319
492
0
21 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
175
19
0
16 Nov 2018
Improving speech emotion recognition via Transformer-based Predictive Coding through transfer learning
Zheng Lian
Ya Li
Jianhua Tao
Jian Huang
ViT
207
18
0
11 Nov 2018
Towards continual learning in medical imaging
Towards continual learning in medical imaging
Chaitanya Baweja
Ben Glocker
Konstantinos Kamnitsas
CLL
159
61
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
129
15
0
06 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
217
26
0
01 Nov 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
176
141
0
29 Oct 2018
Assessing Generalization in Deep Reinforcement Learning
Assessing Generalization in Deep Reinforcement Learning
Charles Packer
Katelyn Gao
Jernej Kos
Philipp Krahenbuhl
V. Koltun
Basel Alomair
OffRL
290
261
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
345
36
0
29 Oct 2018
Continual Classification Learning Using Generative Models
Continual Classification Learning Using Generative Models
Frantzeska Lavda
Jason Ramapuram
Magda Gregorova
Alexandros Kalousis
VLMBDLCLL
137
54
0
24 Oct 2018
Generative Low-Shot Network Expansion
Generative Low-Shot Network Expansion
Adi Hayat
M. Kliger
S. Fleishman
Daniel Cohen-Or
CLLVLM
83
0
0
19 Oct 2018
Autonomous Deep Learning: Continual Learning Approach for Dynamic
  Environments
Autonomous Deep Learning: Continual Learning Approach for Dynamic Environments
Andri Ashfahani
Mahardhika Pratama
349
81
0
17 Oct 2018
Domain Confusion with Self Ensembling for Unsupervised Adaptation
Jiawei Wang
Zhaoshui He
Chengjian Feng
Zhouping Zhu
Q. Lin
Jun Lv
Shengli Xie
137
3
0
10 Oct 2018
Time Reversal as Self-Supervision
Time Reversal as Self-Supervision
Suraj Nair
Mohammad Babaeizadeh
Chelsea Finn
Sergey Levine
Vikash Kumar
SSL
257
12
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
309
357
0
29 Sep 2018
Generalization and Regularization in DQN
Generalization and Regularization in DQN
Jesse Farebrother
Marlos C. Machado
Michael Bowling
355
221
0
29 Sep 2018
Scaling simulation-to-real transfer by learning composable robot skills
Scaling simulation-to-real transfer by learning composable robot skillsInternational Symposium on Experimental Robotics (ISER), 2018
Ryan Julian
Eric Heiden
Zhanpeng He
Hejia Zhang
S. Schaal
Joseph J. Lim
Gaurav Sukhatme
Karol Hausman
199
16
0
26 Sep 2018
Neural Arithmetic Expression Calculator
Neural Arithmetic Expression Calculator
Kaiyu Chen
Yihan Dong
Xipeng Qiu
Zitian Chen
AIMat
106
16
0
23 Sep 2018
User Information Augmented Semantic Frame Parsing using Coarse-to-Fine
  Neural Networks
User Information Augmented Semantic Frame Parsing using Coarse-to-Fine Neural Networks
Yilin Shen
Xiangyu Zeng
Yu Wang
Hongxia Jin
106
0
0
18 Sep 2018
Open-world Learning and Application to Product Classification
Open-world Learning and Application to Product Classification
Hu Xu
Bing-Quan Liu
Lei Shu
P. Yu
CLLVLM
157
116
0
17 Sep 2018
Distilled Wasserstein Learning for Word Embedding and Topic Modeling
Distilled Wasserstein Learning for Word Embedding and Topic Modeling
Hongteng Xu
Wenlin Wang
Wen Liu
Lawrence Carin
MedImFedML
210
88
0
12 Sep 2018
Multi-task Deep Reinforcement Learning with PopArt
Multi-task Deep Reinforcement Learning with PopArt
Matteo Hessel
Hubert Soyer
L. Espeholt
Wojciech M. Czarnecki
Simon Schmitt
H. V. Hasselt
315
343
0
12 Sep 2018
Abstraction Learning
Abstraction Learning
Fei Deng
Jinsheng Ren
Feng Chen
3DHOCL
83
0
0
11 Sep 2018
StackNet: Stacking Parameters for Continual learning
StackNet: Stacking Parameters for Continual learning
Jangho Kim
Jeesoo Kim
Nojun Kwak
CLL
207
6
0
07 Sep 2018
Transferring Deep Reinforcement Learning with Adversarial Objective and
  Augmentation
Transferring Deep Reinforcement Learning with Adversarial Objective and Augmentation
Shu-Hsuan Hsu
I-Chao Shen
Bing-Yu Chen
60
2
0
04 Sep 2018
Deep Lidar CNN to Understand the Dynamics of Moving Vehicles
Deep Lidar CNN to Understand the Dynamics of Moving Vehicles
Victor Vaquero
Alberto Sanfeliu
Francesc Moreno-Noguer
277
14
0
28 Aug 2018
An Incremental Construction of Deep Neuro Fuzzy System for Continual
  Learning of Non-stationary Data Streams
An Incremental Construction of Deep Neuro Fuzzy System for Continual Learning of Non-stationary Data Streams
Mahardhika Pratama
Witold Pedrycz
Geoffrey I. Webb
112
54
0
26 Aug 2018
Transfer Learning for Estimating Causal Effects using Neural Networks
Transfer Learning for Estimating Causal Effects using Neural Networks
Sören R. Künzel
Bradly C. Stadie
N. Vemuri
V. Ramakrishnan
Jasjeet Sekhon
Pieter Abbeel
CML
105
33
0
23 Aug 2018
Catastrophic Importance of Catastrophic Forgetting
Catastrophic Importance of Catastrophic Forgetting
Albert Ierusalem
CLLAI4CE
51
2
0
20 Aug 2018
Life-Long Disentangled Representation Learning with Cross-Domain Latent
  Homologies
Life-Long Disentangled Representation Learning with Cross-Domain Latent Homologies
Alessandro Achille
Tom Eccles
Loic Matthey
Christopher P. Burgess
Nicholas Watters
Alexander Lerchner
I. Higgins
BDL
160
128
0
20 Aug 2018
DeeSIL: Deep-Shallow Incremental Learning
DeeSIL: Deep-Shallow Incremental Learning
Eden Belouadah
Adrian Daniel Popescu
CLL
204
75
0
20 Aug 2018
Deep Stacked Stochastic Configuration Networks for Lifelong Learning of
  Non-Stationary Data Streams
Deep Stacked Stochastic Configuration Networks for Lifelong Learning of Non-Stationary Data Streams
Mahardhika Pratama
Dianhui Wang
BDL
162
58
0
07 Aug 2018
Visual Analogies between Atari Games for Studying Transfer Learning in
  RL
Visual Analogies between Atari Games for Studying Transfer Learning in RL
D. Sobol
Lior Wolf
Yaniv Taigman
OffRL
83
8
0
29 Jul 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
517
1,261
0
25 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
Data Efficient Lithography Modeling with Transfer Learning and Active
  Data Selection
Data Efficient Lithography Modeling with Transfer Learning and Active Data SelectionIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (IEEE TCAD), 2018
Yibo Lin
Meng Li
Yuki Watanabe
Taiki Kimura
Tetsuaki Matsunawa
S. Nojima
David Z. Pan
131
51
0
27 Jun 2018
The Foundations of Deep Learning with a Path Towards General
  Intelligence
The Foundations of Deep Learning with a Path Towards General Intelligence
Eray Özkural
AI4CE
93
6
0
22 Jun 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
Selfless Sequential Learning
Selfless Sequential Learning
Rahaf Aljundi
Marcus Rohrbach
Tinne Tuytelaars
CLL
225
120
0
14 Jun 2018
Meta Continual Learning
Meta Continual Learning
Risto Vuorio
D.-Y. Cho
Daejoong Kim
Jiwon Kim
CLL
134
28
0
11 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
Visual Reasoning by Progressive Module Networks
Visual Reasoning by Progressive Module Networks
Seung Wook Kim
Makarand Tapaswi
Sanja Fidler
ReLMLRM
193
14
0
06 Jun 2018
Transfer Learning for Related Reinforcement Learning Tasks via
  Image-to-Image Translation
Transfer Learning for Related Reinforcement Learning Tasks via Image-to-Image Translation
Shani Gamrian
Yoav Goldberg
324
120
0
31 May 2018
Reinforced Continual Learning
Reinforced Continual Learning
Ju Xu
Zhanxing Zhu
CLL
248
409
0
31 May 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
56
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
Self-Net: Lifelong Learning via Continual Self-Modeling
Self-Net: Lifelong Learning via Continual Self-Modeling
Blake Camp
J. Mandivarapu
Rolando Estrada
CLLSSL
180
18
0
25 May 2018
Meta Transfer Learning for Facial Emotion Recognition
Meta Transfer Learning for Facial Emotion Recognition
Dung Nguyen Tien
Kien Nguyen
Sridha Sridharan
Iman Abbasnejad
David Dean
Clinton Fookes
120
20
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
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