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1606.04671
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Progressive Neural Networks
15 June 2016
Andrei A. Rusu
Neil C. Rabinowitz
Guillaume Desjardins
Hubert Soyer
J. Kirkpatrick
Koray Kavukcuoglu
Razvan Pascanu
R. Hadsell
CLL
AI4CE
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Papers citing
"Progressive Neural Networks"
50 / 1,517 papers shown
Efficient Continual Learning in Neural Networks with Embedding Regularization
Jary Pomponi
Simone Scardapane
Vincenzo Lomonaco
A. Uncini
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180
45
0
09 Sep 2019
LAMOL: LAnguage MOdeling for Lifelong Language Learning
International Conference on Learning Representations (ICLR), 2019
Fan-Keng Sun
Cheng-Hao Ho
Hung-yi Lee
CLL
KELM
279
238
0
07 Sep 2019
Generalization in Transfer Learning
Robotica (Cambridge. Print) (RCP), 2019
S. E. Ada
Emre Ugur
H. L. Akin
167
24
0
03 Sep 2019
BooVAE: Boosting Approach for Continual Learning of VAE
Neural Information Processing Systems (NeurIPS), 2019
Anna Kuzina
Evgenii Egorov
Evgeny Burnaev
CLL
295
31
0
30 Aug 2019
Learning Continually from Low-shot Data Stream
Canyu Le
Xihan Wei
Biao Wang
L. Zhang
Zhonggui Chen
CLL
118
4
0
27 Aug 2019
Multi-stage Deep Classifier Cascades for Open World Recognition
International Conference on Information and Knowledge Management (CIKM), 2019
Xiaojie Guo
Amir Alipour-Fanid
Lingfei Wu
Hemant Purohit
Xiang Chen
K. Zeng
Bo Pan
ObjD
154
15
0
26 Aug 2019
Transfer in Deep Reinforcement Learning using Knowledge Graphs
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019
Prithviraj Ammanabrolu
Mark O. Riedl
122
31
0
19 Aug 2019
Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity
Yang Hu
Giovanni Montana
143
6
0
14 Aug 2019
Online Continual Learning with Maximally Interfered Retrieval
Rahaf Aljundi
Lucas Caccia
Eugene Belilovsky
Massimo Caccia
Min Lin
Laurent Charlin
Tinne Tuytelaars
CLL
591
622
0
11 Aug 2019
Continual Learning by Asymmetric Loss Approximation with Single-Side Overestimation
IEEE International Conference on Computer Vision (ICCV), 2019
Dongmin Park
Seokil Hong
Bohyung Han
Kyoung Mu Lee
AAML
CLL
313
47
0
08 Aug 2019
Toward Understanding Catastrophic Forgetting in Continual Learning
Cuong V Nguyen
Alessandro Achille
Michael Lam
Tal Hassner
Vijay Mahadevan
Stefano Soatto
255
110
0
02 Aug 2019
Weight Friction: A Simple Method to Overcome Catastrophic Forgetting and Enable Continual Learning
Gabrielle K. Liu
66
0
0
02 Aug 2019
Continual Learning via Online Leverage Score Sampling
D. Teng
Sakyasingha Dasgupta
CLL
109
5
0
01 Aug 2019
Self-Attentional Credit Assignment for Transfer in Reinforcement Learning
Johan Ferret
Raphaël Marinier
Matthieu Geist
Olivier Pietquin
OffRL
191
6
0
18 Jul 2019
Growing a Brain: Fine-Tuning by Increasing Model Capacity
Computer Vision and Pattern Recognition (CVPR), 2017
Yu-Xiong Wang
Deva Ramanan
M. Hebert
CLL
203
161
0
18 Jul 2019
DisCoRL: Continual Reinforcement Learning via Policy Distillation
Kalifou René Traoré
Hugo Caselles-Dupré
Timothée Lesort
Te Sun
Guanghang Cai
Natalia Díaz Rodríguez
David Filliat
OffRL
167
65
0
11 Jul 2019
Massively Multilingual Neural Machine Translation in the Wild: Findings and Challenges
N. Arivazhagan
Ankur Bapna
Orhan Firat
Dmitry Lepikhin
Melvin Johnson
...
George F. Foster
Colin Cherry
Wolfgang Macherey
Zhiwen Chen
Yonghui Wu
312
449
0
11 Jul 2019
Attentive Multi-Task Deep Reinforcement Learning
Timo Bram
Gino Brunner
Oliver Richter
Roger Wattenhofer
CLL
240
19
0
05 Jul 2019
Incremental Concept Learning via Online Generative Memory Recall
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019
Huaiyu Li
Weiming Dong
Bao-Gang Hu
CLL
125
27
0
05 Jul 2019
NetTailor: Tuning the Architecture, Not Just the Weights
Computer Vision and Pattern Recognition (CVPR), 2019
Pedro Morgado
Nuno Vasconcelos
MQ
107
29
0
29 Jun 2019
Continual Learning for Robotics: Definition, Framework, Learning Strategies, Opportunities and Challenges
Information Fusion (Inf. Fusion), 2019
Timothée Lesort
Vincenzo Lomonaco
Andrei Stoian
Davide Maltoni
David Filliat
Natalia Díaz Rodríguez
CLL
350
290
0
29 Jun 2019
Generalization to Novel Objects using Prior Relational Knowledge
V. Vijay
Abhinav Ganesh
Hanlin Tang
Arjun K. Bansal
GNN
245
7
0
26 Jun 2019
Compositional Transfer in Hierarchical Reinforcement Learning
Markus Wulfmeier
A. Abdolmaleki
Agrim Gupta
Jost Tobias Springenberg
Michael Neunert
Tim Hertweck
Thomas Lampe
Noah Y. Siegel
N. Heess
Martin Riedmiller
239
28
0
26 Jun 2019
Efficient Multi-Domain Network Learning by Covariance Normalization
Computer Vision and Pattern Recognition (CVPR), 2019
Yunsheng Li
Nuno Vasconcelos
OOD
242
35
0
24 Jun 2019
Lifelong Learning Starting From Zero
Artificial General Intelligence (AGI), 2019
Claes Strannegård
Herman Carlström
Niklas Engsner
Fredrik Mäkeläinen
Filip Slottner Seholm
M. Chehreghani
AI4CE
KELM
CLL
60
3
0
24 Jun 2019
Beneficial perturbation network for continual learning
Shixian Wen
Laurent Itti
CLL
KELM
96
2
0
22 Jun 2019
Continual Reinforcement Learning with Diversity Exploration and Adversarial Self-Correction
Fengda Zhu
Xiaojun Chang
Runhao Zeng
Zhuliang Yu
CLL
158
3
0
21 Jun 2019
Variational Federated Multi-Task Learning
Luca Corinzia
Ami Beuret
J. M. Buhmann
FedML
271
176
0
14 Jun 2019
Curriculum Learning for Cumulative Return Maximization
International Joint Conference on Artificial Intelligence (IJCAI), 2019
Francesco Foglino
Christiano Coletto Christakou
Ricardo Luna Gutierrez
Matteo Leonetti
165
9
0
13 Jun 2019
Continual and Multi-Task Architecture Search
Annual Meeting of the Association for Computational Linguistics (ACL), 2019
Ramakanth Pasunuru
Joey Tianyi Zhou
CLL
180
51
0
12 Jun 2019
Task Agnostic Continual Learning via Meta Learning
Xu He
Jakub Sygnowski
Alexandre Galashov
Andrei A. Rusu
Yee Whye Teh
Razvan Pascanu
OOD
CLL
FedML
178
99
0
12 Jun 2019
Continual Reinforcement Learning deployed in Real-life using Policy Distillation and Sim2Real Transfer
Kalifou René Traoré
Hugo Caselles-Dupré
Timothée Lesort
Te Sun
Natalia Díaz Rodríguez
David Filliat
CLL
OffRL
252
47
0
11 Jun 2019
Incremental Classifier Learning Based on PEDCC-Loss and Cosine Distance
Multimedia tools and applications (MTA), 2019
Qiuyu Zhu
Zikuang He
Xin Ye
CLL
96
6
0
11 Jun 2019
Analysis of Automatic Annotation Suggestions for Hard Discourse-Level Tasks in Expert Domains
Annual Meeting of the Association for Computational Linguistics (ACL), 2019
Claudia Schulz
Christian M. Meyer
J. Kiesewetter
Michael Sailer
Elisabeth Bauer
M. Fischer
F. Fischer
Iryna Gurevych
116
19
0
06 Jun 2019
Practical Deep Learning with Bayesian Principles
Neural Information Processing Systems (NeurIPS), 2019
Kazuki Osawa
S. Swaroop
Anirudh Jain
Runa Eschenhagen
Richard Turner
Rio Yokota
Mohammad Emtiyaz Khan
BDL
UQCV
445
267
0
06 Jun 2019
Uncertainty-guided Continual Learning with Bayesian Neural Networks
International Conference on Learning Representations (ICLR), 2019
Sayna Ebrahimi
Mohamed Elhoseiny
Trevor Darrell
Marcus Rohrbach
CLL
BDL
314
209
0
06 Jun 2019
An Adaptive Random Path Selection Approach for Incremental Learning
Jathushan Rajasegaran
Munawar Hayat
Salman Khan
Fahad Shahbaz Khan
Ling Shao
Ming-Hsuan Yang
ODL
CLL
161
25
0
03 Jun 2019
Continual learning with hypernetworks
International Conference on Learning Representations (ICLR), 2019
J. Oswald
Christian Henning
Benjamin Grewe
João Sacramento
CLL
440
394
0
03 Jun 2019
Large Scale Incremental Learning
Computer Vision and Pattern Recognition (CVPR), 2019
Yue Wu
Yinpeng Chen
Lijuan Wang
Yuancheng Ye
Zicheng Liu
Yandong Guo
Y. Fu
CLL
324
1,427
0
30 May 2019
Leveraging Semantics for Incremental Learning in Multi-Relational Embeddings
A. Daruna
Weiyu Liu
Z. Kira
Sonia Chernova
178
0
0
29 May 2019
Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition
Journal of Imaging (J. Imaging), 2019
Martin Mundt
Iuliia Pliushch
Sagnik Majumder
Yongwon Hong
Visvanathan Ramesh
UQCV
BDL
261
43
0
28 May 2019
Uncertainty-based Continual Learning with Adaptive Regularization
Neural Information Processing Systems (NeurIPS), 2019
Hongjoon Ahn
Sungmin Cha
Donggyu Lee
Taesup Moon
BDL
451
253
0
28 May 2019
Single-Net Continual Learning with Progressive Segmented Training (PST)
International Conference on Machine Learning and Applications (ICMLA), 2019
Xiaocong Du
Gouranga Charan
Frank Liu
Yu Cao
CLL
320
13
0
28 May 2019
Incremental Learning Using a Grow-and-Prune Paradigm with Efficient Neural Networks
IEEE Transactions on Emerging Topics in Computing (TETC), 2019
Xiaoliang Dai
Hongxu Yin
N. Jha
173
33
0
27 May 2019
Lifelong Neural Predictive Coding: Learning Cumulatively Online without Forgetting
Neural Information Processing Systems (NeurIPS), 2019
Alexander Ororbia
A. Mali
Daniel Kifer
C. Lee Giles
CLL
KELM
434
21
0
25 May 2019
Zero-shot task adaptation by homoiconic meta-mapping
Andrew Kyle Lampinen
James L. McClelland
250
1
0
23 May 2019
MCP: Learning Composable Hierarchical Control with Multiplicative Compositional Policies
Neural Information Processing Systems (NeurIPS), 2019
Xue Bin Peng
Michael Chang
Grace Zhang
Pieter Abbeel
Sergey Levine
197
216
0
23 May 2019
Evolving neural networks to follow trajectories of arbitrary complexity
Neural Networks (NN), 2019
Benjamin Inden
Jürgen Jost
72
0
0
21 May 2019
Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systems
Annual Meeting of the Association for Computational Linguistics (ACL), 2019
Chien-Sheng Wu
Andrea Madotto
Ehsan Hosseini-Asl
Caiming Xiong
R. Socher
Pascale Fung
240
461
0
21 May 2019
Which Tasks Should Be Learned Together in Multi-task Learning?
International Conference on Machine Learning (ICML), 2019
Trevor Scott Standley
Amir Zamir
Dawn Chen
Leonidas Guibas
Jitendra Malik
Silvio Savarese
663
606
0
18 May 2019
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