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1606.04671
Cited By

Progressive Neural Networks

v1v2v3v4 (latest)

Progressive Neural Networks

15 June 2016

Neil C. Rabinowitz

Guillaume Desjardins

Koray Kavukcuoglu

ArXiv (abs)PDF HTML

Papers citing "Progressive Neural Networks"

16 / 1,516 papers shown

iCaRL: Incremental Classifier and Representation Learning

iCaRL: Incremental Classifier and Representation Learning

Sylvestre-Alvise Rebuffi

Alexander Kolesnikov

Christoph H. Lampert

666

4,346

0

23 Nov 2016

Expert Gate: Lifelong Learning with a Network of Experts

Expert Gate: Lifelong Learning with a Network of Experts

Punarjay Chakravarty

Tinne Tuytelaars

299

724

0

18 Nov 2016

RL$^2$: Fast Reinforcement Learning via Slow Reinforcement Learning

^2

: Fast Reinforcement Learning via Slow Reinforcement Learning

Peter L. Bartlett

Pieter Abbeel

303

1,097

0

09 Nov 2016

Differentiable Programs with Neural Libraries

Differentiable Programs with Neural Libraries

Alexander L. Gaunt

Marc Brockschmidt

212

77

0

07 Nov 2016

Beyond Fine Tuning: A Modular Approach to Learning on Small Data

Beyond Fine Tuning: A Modular Approach to Learning on Small Data

Court D. Corley

Nathan Oken Hodas

140

15

0

06 Nov 2016

A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks

A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks

Kazuma Hashimoto

Yoshimasa Tsuruoka

435

585

0

05 Nov 2016

Towards Lifelong Self-Supervision: A Deep Learning Direction for
Robotics

Towards Lifelong Self-Supervision: A Deep Learning Direction for Robotics

243

12

0

01 Nov 2016

Towards a continuous modeling of natural language domains

Towards a continuous modeling of natural language domains

Sebastian Ruder

77

9

0

28 Oct 2016

A Growing Long-term Episodic & Semantic Memory

A Growing Long-term Episodic & Semantic Memory

104

10

0

20 Oct 2016

Sim-to-Real Robot Learning from Pixels with Progressive Nets

Sim-to-Real Robot Learning from Pixels with Progressive NetsConference on Robot Learning (CoRL), 2016

Thomas Rothörl

311

552

0

13 Oct 2016

Learning Modular Neural Network Policies for Multi-Task and Multi-Robot
Transfer

Learning Modular Neural Network Policies for Multi-Task and Multi-Robot Transfer

Abhishek Gupta

Pieter Abbeel

178

425

0

22 Sep 2016

3D Simulation for Robot Arm Control with Deep Q-Learning

3D Simulation for Robot Arm Control with Deep Q-Learning

235

110

0

13 Sep 2016

Learning without Forgetting

Learning without ForgettingIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2016

1.0K

5,096

0

29 Jun 2016

A Deep Hierarchical Approach to Lifelong Learning in Minecraft

A Deep Hierarchical Approach to Lifelong Learning in Minecraft

349

394

0

25 Apr 2016

Beyond Sharing Weights for Deep Domain Adaptation

Beyond Sharing Weights for Deep Domain Adaptation

Artem Rozantsev

Mathieu Salzmann

216

463

0

21 Mar 2016

Attend, Adapt and Transfer: Attentive Deep Architecture for Adaptive
Transfer from multiple sources in the same domain

Attend, Adapt and Transfer: Attentive Deep Architecture for Adaptive Transfer from multiple sources in the same domain

Janarthanan Rajendran

Mitesh M. Khapra

Prasanna Parthasarathi

Balaraman Ravindran

149

54

0

10 Oct 2015

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