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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
Online Structured Laplace Approximations For Overcoming Catastrophic
  Forgetting
Online Structured Laplace Approximations For Overcoming Catastrophic Forgetting
H. Ritter
Aleksandar Botev
David Barber
BDLCLL
250
362
0
20 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
491
964
0
16 May 2018
Network Transplanting
Network Transplanting
Quanshi Zhang
Yu Yang
Ying Nian Wu
Song-Chun Zhu
OOD
141
5
0
26 Apr 2018
The Limits and Potentials of Deep Learning for Robotics
The Limits and Potentials of Deep Learning for Robotics
Niko Sünderhauf
Oliver Brock
Walter J. Scheirer
R. Hadsell
Dieter Fox
...
B. Upcroft
Pieter Abbeel
Wolfram Burgard
Michael Milford
Peter Corke
244
547
0
18 Apr 2018
Gotta Learn Fast: A New Benchmark for Generalization in RL
Gotta Learn Fast: A New Benchmark for Generalization in RL
Alex Nichol
Vicki Pfau
Christopher Hesse
Oleg Klimov
John Schulman
VLMOffRL
184
183
0
10 Apr 2018
Learning to Run challenge solutions: Adapting reinforcement learning
  methods for neuromusculoskeletal environments
Learning to Run challenge solutions: Adapting reinforcement learning methods for neuromusculoskeletal environments
L. Kidzinski
Sharada Mohanty
Carmichael F. Ong
Zhewei Huang
Shuchang Zhou
...
Sean F. Carroll
Jennifer Hicks
Sergey Levine
M. Salathé
Scott L. Delp
187
95
0
02 Apr 2018
HOUDINI: Lifelong Learning as Program Synthesis
HOUDINI: Lifelong Learning as Program Synthesis
Lazar Valkov
Dipak Chaudhari
Akash Srivastava
Charles Sutton
Swarat Chaudhuri
253
85
0
31 Mar 2018
Reusing Neural Speech Representations for Auditory Emotion Recognition
Reusing Neural Speech Representations for Auditory Emotion Recognition
Egor Lakomkin
C. Weber
S. Magg
S. Wermter
102
35
0
30 Mar 2018
End-to-End Multi-Task Learning with Attention
End-to-End Multi-Task Learning with Attention
Shikun Liu
Edward Johns
Andrew J. Davison
CVBM
266
1,241
0
28 Mar 2018
Task Agnostic Continual Learning Using Online Variational Bayes
Task Agnostic Continual Learning Using Online Variational Bayes
Chen Zeno
Itay Golan
Elad Hoffer
Daniel Soudry
CLLFedMLBDL
353
124
0
27 Mar 2018
Efficient parametrization of multi-domain deep neural networks
Efficient parametrization of multi-domain deep neural networks
Sylvestre-Alvise Rebuffi
Hakan Bilen
Andrea Vedaldi
OOD
192
381
0
27 Mar 2018
Composable Deep Reinforcement Learning for Robotic Manipulation
Composable Deep Reinforcement Learning for Robotic Manipulation
Tuomas Haarnoja
Vitchyr H. Pong
Aurick Zhou
Murtaza Dalal
Pieter Abbeel
Sergey Levine
258
244
0
19 Mar 2018
Kinematic Morphing Networks for Manipulation Skill Transfer
Kinematic Morphing Networks for Manipulation Skill Transfer
Péter Englert
Marc Toussaint
3DPC
70
5
0
05 Mar 2018
SAFE: Spectral Evolution Analysis Feature Extraction for Non-Stationary
  Time Series Prediction
SAFE: Spectral Evolution Analysis Feature Extraction for Non-Stationary Time Series Prediction
Arief B. Koesdwiady
Fakhri Karray
AI4TS
98
1
0
04 Mar 2018
Some Considerations on Learning to Explore via Meta-Reinforcement
  Learning
Some Considerations on Learning to Explore via Meta-Reinforcement Learning
Bradly C. Stadie
Ge Yang
Rein Houthooft
Xi Chen
Yan Duan
Yuhuai Wu
Pieter Abbeel
Ilya Sutskever
LRM
189
122
0
03 Mar 2018
Selective Experience Replay for Lifelong Learning
Selective Experience Replay for Lifelong LearningAAAI Conference on Artificial Intelligence (AAAI), 2018
David Isele
Akansel Cosgun
CLL
200
513
0
28 Feb 2018
Reinforcement and Imitation Learning for Diverse Visuomotor Skills
Reinforcement and Imitation Learning for Diverse Visuomotor Skills
Yuke Zhu
Ziyun Wang
J. Merel
Andrei A. Rusu
Tom Erez
...
S. Tunyasuvunakool
János Kramár
R. Hadsell
Nando de Freitas
N. Heess
SSL
357
333
0
26 Feb 2018
One Big Net For Everything
One Big Net For Everything
Jürgen Schmidhuber
CLL
157
34
0
24 Feb 2018
SeNA-CNN: Overcoming Catastrophic Forgetting in Convolutional Neural
  Networks by Selective Network Augmentation
SeNA-CNN: Overcoming Catastrophic Forgetting in Convolutional Neural Networks by Selective Network Augmentation
Abel S. Zacarias
Luís A. Alexandre
CLL
122
13
0
22 Feb 2018
Continual Reinforcement Learning with Complex Synapses
Continual Reinforcement Learning with Complex Synapses
Christos Kaplanis
Murray Shanahan
Claudia Clopath
KELM
136
96
0
20 Feb 2018
Tree-CNN: A Hierarchical Deep Convolutional Neural Network for
  Incremental Learning
Tree-CNN: A Hierarchical Deep Convolutional Neural Network for Incremental Learning
Deboleena Roy
Priyadarshini Panda
Kaushik Roy
BDLOODCLL
246
229
0
15 Feb 2018
Progressive Reinforcement Learning with Distillation for Multi-Skilled
  Motion Control
Progressive Reinforcement Learning with Distillation for Multi-Skilled Motion Control
Glen Berseth
Kevin Xie
Paul Cernek
M. van de Panne
125
57
0
13 Feb 2018
State Representation Learning for Control: An Overview
State Representation Learning for Control: An Overview
Timothée Lesort
Natalia Díaz Rodríguez
Jean-François Goudou
David Filliat
OffRL
339
347
0
12 Feb 2018
Deep Visual Domain Adaptation: A Survey
Deep Visual Domain Adaptation: A Survey
Mei Wang
Weihong Deng
OOD
446
2,187
0
10 Feb 2018
IMPALA: Scalable Distributed Deep-RL with Importance Weighted
  Actor-Learner Architectures
IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures
L. Espeholt
Hubert Soyer
Rémi Munos
Karen Simonyan
Volodymyr Mnih
...
Vlad Firoiu
Tim Harley
Iain Dunning
Shane Legg
Koray Kavukcuoglu
671
1,744
0
05 Feb 2018
Multi-task Learning for Continuous Control
Multi-task Learning for Continuous Control
Himani Arora
Rajath Kumar
Jason Krone
Chong Li
150
13
0
03 Feb 2018
Riemannian Walk for Incremental Learning: Understanding Forgetting and
  Intransigence
Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence
Arslan Chaudhry
P. Dokania
Thalaiyasingam Ajanthan
Juil Sock
CLL
559
1,299
0
30 Jan 2018
Piggyback: Adapting a Single Network to Multiple Tasks by Learning to
  Mask Weights
Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights
Arun Mallya
Dillon Davis
Svetlana Lazebnik
CLL
287
36
0
19 Jan 2018
Deep Learning for Electromyographic Hand Gesture Signal Classification
  Using Transfer Learning
Deep Learning for Electromyographic Hand Gesture Signal Classification Using Transfer Learning
Ulysse Côté-Allard
C. Fall
Alexandre Drouin
Alexandre Campeau-Lecours
C. Gosselin
K. Glette
François Laviolette
Benoit Gosselin
257
616
0
10 Jan 2018
Overcoming catastrophic forgetting with hard attention to the task
Overcoming catastrophic forgetting with hard attention to the task
Joan Serrà
Dídac Surís
M. Miron
Alexandros Karatzoglou
CLL
605
1,209
0
04 Jan 2018
Toward Continual Learning for Conversational Agents
Toward Continual Learning for Conversational Agents
Sungjin Lee
224
41
0
28 Dec 2017
Sim-to-Real Transfer of Accurate Grasping with Eye-In-Hand Observations
  and Continuous Control
Sim-to-Real Transfer of Accurate Grasping with Eye-In-Hand Observations and Continuous Control
Mengyuan Yan
I. Frosio
Stephen Tyree
Jan Kautz
147
41
0
08 Dec 2017
Incremental Learning in Deep Convolutional Neural Networks Using Partial
  Network Sharing
Incremental Learning in Deep Convolutional Neural Networks Using Partial Network Sharing
Syed Shakib Sarwar
Aayush Ankit
Kaushik Roy
CLL
274
118
0
07 Dec 2017
Transferring Autonomous Driving Knowledge on Simulated and Real
  Intersections
Transferring Autonomous Driving Knowledge on Simulated and Real Intersections
David Isele
Akansel Cosgun
84
23
0
30 Nov 2017
Block Neural Network Avoids Catastrophic Forgetting When Learning
  Multiple Task
Block Neural Network Avoids Catastrophic Forgetting When Learning Multiple Task
Guglielmo Montone
J. O'Regan
A. Terekhov
CLL
54
0
0
28 Nov 2017
Gradual Tuning: a better way of Fine Tuning the parameters of a Deep
  Neural Network
Gradual Tuning: a better way of Fine Tuning the parameters of a Deep Neural Network
Guglielmo Montone
J. O'Regan
A. Terekhov
CLL
43
6
0
28 Nov 2017
Memory Aware Synapses: Learning what (not) to forget
Memory Aware Synapses: Learning what (not) to forget
Rahaf Aljundi
F. Babiloni
Mohamed Elhoseiny
Marcus Rohrbach
Tinne Tuytelaars
KELMCLL
349
1,863
0
27 Nov 2017
Cascade Attribute Learning Network
Cascade Attribute Learning Network
Zhuo Xu
Haonan Chang
Masayoshi Tomizuka
91
4
0
24 Nov 2017
Modular Continual Learning in a Unified Visual Environment
Modular Continual Learning in a Unified Visual Environment
Kevin T. Feigelis
Blue Sheffer
Daniel L. K. Yamins
90
0
0
20 Nov 2017
Scalable Recollections for Continual Lifelong Learning
Scalable Recollections for Continual Lifelong Learning
Matthew D Riemer
Tim Klinger
Djallel Bouneffouf
M. Franceschini
CLL
270
73
0
17 Nov 2017
Memory Based Online Learning of Deep Representations from Video Streams
Memory Based Online Learning of Deep Representations from Video Streams
F. Pernici
F. Bartoli
Matteo Bruni
Marco Bertini
CVBM
130
31
0
17 Nov 2017
Less-forgetful Learning for Domain Expansion in Deep Neural Networks
Less-forgetful Learning for Domain Expansion in Deep Neural Networks
Heechul Jung
Jeongwoo Ju
Minju Jung
Junmo Kim
CLLOOD
102
77
0
16 Nov 2017
PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning
PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning
Arun Mallya
Svetlana Lazebnik
CLL
423
1,472
0
15 Nov 2017
Building machines that adapt and compute like brains
Building machines that adapt and compute like brains
Brenden M. Lake
J. Tenenbaum
AI4CEFedMLNAIAILaw
480
871
0
11 Nov 2017
Just ASK: Building an Architecture for Extensible Self-Service Spoken
  Language Understanding
Just ASK: Building an Architecture for Extensible Self-Service Spoken Language Understanding
Anjishnu Kumar
Arpit Gupta
Julian Chan
S. Tucker
Björn Hoffmeister
...
Ankur Gandhe
Denis Filiminov
Ariya Rastrow
Christian Monson
Agnika Kumar
ELMAuLLM
290
68
0
01 Nov 2017
Avoiding Your Teacher's Mistakes: Training Neural Networks with
  Controlled Weak Supervision
Avoiding Your Teacher's Mistakes: Training Neural Networks with Controlled Weak Supervision
Mostafa Dehghani
Aliaksei Severyn
S. Rothe
J. Kamps
NoLa
281
42
0
01 Nov 2017
Beyond Shared Hierarchies: Deep Multitask Learning through Soft Layer
  Ordering
Beyond Shared Hierarchies: Deep Multitask Learning through Soft Layer Ordering
Elliot Meyerson
Risto Miikkulainen
MoE
252
98
0
31 Oct 2017
Multi-Task Learning by Deep Collaboration and Application in Facial
  Landmark Detection
Multi-Task Learning by Deep Collaboration and Application in Facial Landmark Detection
Ludovic Trottier
Philippe Giguère
B. Chaib-draa
CVBM
176
13
0
28 Oct 2017
Deep Generative Dual Memory Network for Continual Learning
Deep Generative Dual Memory Network for Continual Learning
Nitin Kamra
Umang Gupta
Yan Liu
BDL
238
160
0
28 Oct 2017
Generalization Tower Network: A Novel Deep Neural Network Architecture
  for Multi-Task Learning
Generalization Tower Network: A Novel Deep Neural Network Architecture for Multi-Task Learning
Yuhang Song
Mai Xu
Songyang Zhang
Liangyu Huo
199
3
0
27 Oct 2017
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