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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
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Multi-task Learning with Gradient Guided Policy Specialization
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Greg Turk
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Deep Scattering: Rendering Atmospheric Clouds with Radiance-Predicting Neural Networks
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15 Sep 2017
Deep Learning for Video Game Playing
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Philip Bontrager
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Multi-task Self-Supervised Visual Learning
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25 Aug 2017
Incremental Learning of Object Detectors without Catastrophic Forgetting
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A Brief Survey of Deep Reinforcement Learning
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General AI Challenge - Round One: Gradual Learning
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Matej Nikl
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Martin Stránský
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Unsupervised Incremental Learning of Deep Descriptors From Video Streams
F. Pernici
Marco Bertini
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Learning how to Active Learn: A Deep Reinforcement Learning Approach
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Yuan Li
Trevor Cohn
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Lifelong Learning with Dynamically Expandable Networks
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Grounding Language for Transfer in Deep Reinforcement Learning
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A Brief Study of In-Domain Transfer and Learning from Fewer Samples using A Few Simple Priors
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Gradient Episodic Memory for Continual Learning
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A Useful Motif for Flexible Task Learning in an Embodied Two-Dimensional Visual Environment
Kevin T. Feigelis
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22 Jun 2017
Dex: Incremental Learning for Complex Environments in Deep Reinforcement Learning
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Qi Zhao
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19 Jun 2017
Learning Hierarchical Information Flow with Recurrent Neural Modules
Danijar Hafner
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N. Heess
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18 Jun 2017
Schema Networks: Zero-shot Transfer with a Generative Causal Model of Intuitive Physics
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Ken Kansky
Tom Silver
David A. Mély
Mohamed Eldawy
Miguel Lazaro-Gredilla
Xinghua Lou
N. Dorfman
Szymon Sidor
Scott Phoenix
Dileep George
AI4CE
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14 Jun 2017
Neural Domain Adaptation for Biomedical Question Answering
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Georg Wiese
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Mariana Neves
MedIm
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277
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12 Jun 2017
Confident Multiple Choice Learning
International Conference on Machine Learning (ICML), 2017
Kimin Lee
Changho Hwang
KyoungSoo Park
Jinwoo Shin
202
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12 Jun 2017
Progressive Neural Networks for Transfer Learning in Emotion Recognition
Interspeech (Interspeech), 2017
John Gideon
S. Khorram
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Lifelong Generative Modeling
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Alexandros Kalousis
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465
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27 May 2017
Continual Learning in Generative Adversarial Nets
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Daniel Suo
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23 May 2017
Learning multiple visual domains with residual adapters
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Andrea Vedaldi
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Diffusion-based neuromodulation can eliminate catastrophic forgetting in simple neural networks
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Jeff Clune
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182
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20 May 2017
Probabilistically Safe Policy Transfer
David Held
Zoe McCarthy
Michael Zhang
Fred Shentu
Pieter Abbeel
153
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15 May 2017
Incremental Learning Through Deep Adaptation
Amir Rosenfeld
John K. Tsotsos
CLL
325
301
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11 May 2017
CORe50: a New Dataset and Benchmark for Continuous Object Recognition
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Davide Maltoni
353
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09 May 2017
Analyzing Knowledge Transfer in Deep Q-Networks for Autonomously Handling Multiple Intersections
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Akansel Cosgun
K. Fujimura
60
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02 May 2017
Neural End-to-End Learning for Computational Argumentation Mining
Steffen Eger
Johannes Daxenberger
Iryna Gurevych
121
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20 Apr 2017
Representation Stability as a Regularizer for Improved Text Analytics Transfer Learning
Matthew D Riemer
Elham Khabiri
Richard Goodwin
CLL
152
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12 Apr 2017
Encoder Based Lifelong Learning
Amal Rannen Triki
Rahaf Aljundi
Mathew B. Blaschko
Tinne Tuytelaars
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227
340
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Born to Learn: the Inspiration, Progress, and Future of Evolved Plastic Artificial Neural Networks
Andrea Soltoggio
Kenneth O. Stanley
S. Risi
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330
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30 Mar 2017
Multi-Scale Dense Networks for Resource Efficient Image Classification
Gao Huang
Danlu Chen
Tianhong Li
Felix Wu
Laurens van der Maaten
Kilian Q. Weinberger
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252
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29 Mar 2017
Overcoming Catastrophic Forgetting by Incremental Moment Matching
Sang-Woo Lee
Jin-Hwa Kim
Jaehyun Jun
Jung-Woo Ha
Byoung-Tak Zhang
CLL
372
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24 Mar 2017
One-Shot Imitation Learning
Yan Duan
Marcin Andrychowicz
Bradly C. Stadie
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Jonas Schneider
Ilya Sutskever
Pieter Abbeel
Wojciech Zaremba
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331
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21 Mar 2017
Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World
Joshua Tobin
Rachel Fong
Alex Ray
Jonas Schneider
Wojciech Zaremba
Pieter Abbeel
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Continual Learning Through Synaptic Intelligence
Friedemann Zenke
Ben Poole
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283
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13 Mar 2017
Learning Invariant Feature Spaces to Transfer Skills with Reinforcement Learning
Abhishek Gupta
Coline Devin
YuXuan Liu
Pieter Abbeel
Sergey Levine
235
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Neural Episodic Control
Alexander Pritzel
Benigno Uria
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A. Badia
Oriol Vinyals
Demis Hassabis
Daan Wierstra
Charles Blundell
OffRL
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440
374
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06 Mar 2017
Generative and Discriminative Text Classification with Recurrent Neural Networks
Dani Yogatama
Chris Dyer
Wang Ling
Phil Blunsom
281
210
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06 Mar 2017
Improving Chinese SRL with Heterogeneous Annotations
Qiaolin Xia
Baobao Chang
Zhifang Sui
65
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22 Feb 2017
Learning to Multi-Task by Active Sampling
International Conference on Learning Representations (ICLR), 2017
Sahil Sharma
Ashutosh Jha
Parikshit Hegde
Balaraman Ravindran
251
21
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20 Feb 2017
Contextually Customized Video Summaries via Natural Language
Jinsoo Choi
Tae-Hyun Oh
In So Kweon
184
12
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06 Feb 2017
PathNet: Evolution Channels Gradient Descent in Super Neural Networks
Chrisantha Fernando
Dylan Banarse
Charles Blundell
Yori Zwols
David R Ha
Andrei A. Rusu
Alexander Pritzel
Daan Wierstra
280
940
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30 Jan 2017
Neurogenesis-Inspired Dictionary Learning: Online Model Adaption in a Changing World
International Joint Conference on Artificial Intelligence (IJCAI), 2017
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Guillermo Cecchi
A. Lozano
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308
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22 Jan 2017
Deep Reinforcement Learning with Successor Features for Navigation across Similar Environments
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2016
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Jost Tobias Springenberg
Joschka Boedecker
Wolfram Burgard
237
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Incorporating Human Domain Knowledge into Large Scale Cost Function Learning
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Ingmar Posner
OffRL
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