ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1606.04671
  4. Cited By
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
Budget-Aware Adapters for Multi-Domain Learning
Budget-Aware Adapters for Multi-Domain LearningIEEE International Conference on Computer Vision (ICCV), 2019
Rodrigo Berriel
Stéphane Lathuilière
Moin Nabi
T. Klein
Thiago Oliveira-Santos
Andrii Zadaianchuk
Elisa Ricci
OOD
275
45
0
15 May 2019
Budgeted Training: Rethinking Deep Neural Network Training Under
  Resource Constraints
Budgeted Training: Rethinking Deep Neural Network Training Under Resource ConstraintsInternational Conference on Learning Representations (ICLR), 2019
Mengtian Li
Ersin Yumer
Deva Ramanan
258
54
0
12 May 2019
Bayesian Optimized Continual Learning with Attention Mechanism
Bayesian Optimized Continual Learning with Attention Mechanism
Ju Xu
Jin Ma
Zhanxing Zhu
CLLBDL
75
6
0
10 May 2019
Improving and Understanding Variational Continual Learning
Improving and Understanding Variational Continual Learning
S. Swaroop
Cuong V Nguyen
T. Bui
Richard Turner
CLL
128
53
0
06 May 2019
From Video Game to Real Robot: The Transfer between Action Spaces
From Video Game to Real Robot: The Transfer between Action SpacesIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019
Janne Karttunen
Anssi Kanervisto
Ville Kyrki
Ville Hautamaki
204
8
0
02 May 2019
Attentive Single-Tasking of Multiple Tasks
Attentive Single-Tasking of Multiple Tasks
Kevis-Kokitsi Maninis
Ilija Radosavovic
Iasonas Kokkinos
350
277
0
18 Apr 2019
A Multi-Task Learning Framework for Overcoming the Catastrophic
  Forgetting in Automatic Speech Recognition
A Multi-Task Learning Framework for Overcoming the Catastrophic Forgetting in Automatic Speech Recognition
Jiabin Xue
Jiqing Han
Tieran Zheng
Yantao Du
Jiaxing Guo
CLL
133
9
0
17 Apr 2019
Knowledge Flow: Improve Upon Your Teachers
Knowledge Flow: Improve Upon Your Teachers
Iou-Jen Liu
Jian-wei Peng
Alex Schwing
246
64
0
11 Apr 2019
Learning to Remember: A Synaptic Plasticity Driven Framework for
  Continual Learning
Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning
O. Ostapenko
M. Puscas
T. Klein
P. Jähnichen
Moin Nabi
CLL
527
339
0
05 Apr 2019
Learn to Grow: A Continual Structure Learning Framework for Overcoming
  Catastrophic Forgetting
Learn to Grow: A Continual Structure Learning Framework for Overcoming Catastrophic Forgetting
Xilai Li
Yingbo Zhou
Tianfu Wu
R. Socher
Caiming Xiong
CLL
525
493
0
31 Mar 2019
Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild
Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild
Kibok Lee
Kimin Lee
Jinwoo Shin
Honglak Lee
CLL
411
227
0
29 Mar 2019
Enhanced Transfer Learning with ImageNet Trained Classification Layer
Enhanced Transfer Learning with ImageNet Trained Classification Layer
Tasfia Shermin
S. Teng
Manzur Murshed
Guojun Lu
Ferdous Sohel
Manoranjan Paul
136
1
0
25 Mar 2019
Regularize, Expand and Compress: Multi-task based Lifelong Learning via
  NonExpansive AutoML
Regularize, Expand and Compress: Multi-task based Lifelong Learning via NonExpansive AutoML
Jie Zhang
Junting Zhang
Shalini Ghosh
Dawei Li
Jingwen Zhu
Heming Zhang
Yalin Wang
CLL
142
2
0
20 Mar 2019
Dense Classification and Implanting for Few-Shot Learning
Dense Classification and Implanting for Few-Shot Learning
Yann Lifchitz
Yannis Avrithis
Sylvaine Picard
Andrei Bursuc
VLM
188
202
0
12 Mar 2019
Continual Learning via Neural Pruning
Continual Learning via Neural Pruning
Siavash Golkar
Michael Kagan
Dong Wang
CLL
216
170
0
11 Mar 2019
Sentence Embedding Alignment for Lifelong Relation Extraction
Sentence Embedding Alignment for Lifelong Relation Extraction
Hong Wang
Wenhan Xiong
Mo Yu
Xiaoxiao Guo
Shiyu Chang
William Yang Wang
CLL
236
157
0
06 Mar 2019
Representative Task Self-selection for Flexible Clustered Lifelong
  Learning
Representative Task Self-selection for Flexible Clustered Lifelong LearningIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019
Gan Sun
Yang Cong
Qianqian Wang
Bineng Zhong
Y. Fu
CLL
217
58
0
06 Mar 2019
Model Primitive Hierarchical Lifelong Reinforcement Learning
Model Primitive Hierarchical Lifelong Reinforcement LearningAdaptive Agents and Multi-Agent Systems (AAMAS), 2019
Bohan Wu
Jayesh K. Gupta
Mykel J. Kochenderfer
OffRL
138
10
0
04 Mar 2019
Scalable and Order-robust Continual Learning with Additive Parameter
  Decomposition
Scalable and Order-robust Continual Learning with Additive Parameter Decomposition
Jaehong Yoon
Saehoon Kim
Eunho Yang
Sung Ju Hwang
CLL
377
194
0
25 Feb 2019
Online Meta-Learning
Online Meta-Learning
Chelsea Finn
Aravind Rajeswaran
Sham Kakade
Sergey Levine
CLL
365
296
0
22 Feb 2019
Generative Memory for Lifelong Reinforcement Learning
Generative Memory for Lifelong Reinforcement Learning
Aswin Raghavan
Jesse Hostetler
S. Chai
OffRLCLL
120
3
0
22 Feb 2019
Overcoming Multi-Model Forgetting
Overcoming Multi-Model Forgetting
Yassine Benyahia
Kaicheng Yu
Kamil Bennani-Smires
Martin Jaggi
A. Davison
Mathieu Salzmann
C. Musat
MoMeKELMCLL
198
39
0
21 Feb 2019
Differentially Private Continual Learning
Differentially Private Continual Learning
Sebastian Farquhar
Y. Gal
FedMLMU
120
13
0
18 Feb 2019
Superposition of many models into one
Superposition of many models into one
Brian Cheung
A. Terekhov
Yubei Chen
Pulkit Agrawal
Bruno A. Olshausen
MoMe
227
123
0
14 Feb 2019
Transfer Learning for Sequence Labeling Using Source Model and Target
  Data
Transfer Learning for Sequence Labeling Using Source Model and Target Data
Lingzhen Chen
Alessandro Moschitti
VLM
125
34
0
14 Feb 2019
Controlled Forgetting: Targeted Stimulation and Dopaminergic Plasticity
  Modulation for Unsupervised Lifelong Learning in Spiking Neural Networks
Controlled Forgetting: Targeted Stimulation and Dopaminergic Plasticity Modulation for Unsupervised Lifelong Learning in Spiking Neural NetworksFrontiers in Neuroscience (Front. Neurosci.), 2019
Jason M. Allred
Kaushik Roy
CLL
185
35
0
08 Feb 2019
Adaptive Posterior Learning: few-shot learning with a surprise-based
  memory module
Adaptive Posterior Learning: few-shot learning with a surprise-based memory module
Tiago Ramalho
M. Garnelo
BDL
201
82
0
07 Feb 2019
Parameter-Efficient Transfer Learning for NLP
Parameter-Efficient Transfer Learning for NLPInternational Conference on Machine Learning (ICML), 2019
N. Houlsby
A. Giurgiu
Stanislaw Jastrzebski
Bruna Morrone
Quentin de Laroussilhe
Andrea Gesmundo
Mona Attariyan
Sylvain Gelly
651
5,711
0
02 Feb 2019
Policy Consolidation for Continual Reinforcement Learning
Policy Consolidation for Continual Reinforcement LearningInternational Conference on Machine Learning (ICML), 2019
Christos Kaplanis
Murray Shanahan
Claudia Clopath
CLLOffRL
232
58
0
01 Feb 2019
Transfer in Deep Reinforcement Learning Using Successor Features and
  Generalised Policy Improvement
Transfer in Deep Reinforcement Learning Using Successor Features and Generalised Policy ImprovementInternational Conference on Machine Learning (ICML), 2018
André Barreto
Diana Borsa
John Quan
Tom Schaul
David Silver
Matteo Hessel
D. Mankowitz
Augustin Žídek
Rémi Munos
OffRL
234
174
0
30 Jan 2019
Self-organization of action hierarchy and compositionality by
  reinforcement learning with recurrent neural networks
Self-organization of action hierarchy and compositionality by reinforcement learning with recurrent neural networks
Dongqi Han
Kenji Doya
Jun Tani
AI4CE
320
21
0
29 Jan 2019
Network Transplanting (extended abstract)
Network Transplanting (extended abstract)
Quanshi Zhang
Yu Yang
Qian Yu
Ying Nian Wu
OOD
39
0
0
21 Jan 2019
Lifelong Federated Reinforcement Learning: A Learning Architecture for
  Navigation in Cloud Robotic Systems
Lifelong Federated Reinforcement Learning: A Learning Architecture for Navigation in Cloud Robotic Systems
Boyi Liu
Lujia Wang
Ming-Yuan Liu
301
269
0
19 Jan 2019
An Active Learning Framework for Efficient Robust Policy Search
An Active Learning Framework for Efficient Robust Policy Search
Sai Kiran Narayanaswami
N. Sudarsanam
Balaraman Ravindran
178
0
0
01 Jan 2019
Mid-Level Visual Representations Improve Generalization and Sample
  Efficiency for Learning Visuomotor Policies
Mid-Level Visual Representations Improve Generalization and Sample Efficiency for Learning Visuomotor Policies
Alexander Sax
Bradley Emi
Amir Zamir
Leonidas Guibas
Silvio Savarese
Jitendra Malik
SSL
212
16
0
31 Dec 2018
Deep Reinforcement Learning for Multi-Agent Systems: A Review of
  Challenges, Solutions and Applications
Deep Reinforcement Learning for Multi-Agent Systems: A Review of Challenges, Solutions and Applications
Thanh Thi Nguyen
Ngoc Duy Nguyen
S. Nahavandi
321
939
0
31 Dec 2018
Generative Models from the perspective of Continual Learning
Generative Models from the perspective of Continual Learning
Timothée Lesort
Hugo Caselles-Dupré
Michael Garcia Ortiz
Andrei Stoian
David Filliat
VLMDiffM
158
167
0
21 Dec 2018
Deep Online Learning via Meta-Learning: Continual Adaptation for
  Model-Based RL
Deep Online Learning via Meta-Learning: Continual Adaptation for Model-Based RL
Anusha Nagabandi
Chelsea Finn
Sergey Levine
OffRLCLL
240
203
0
18 Dec 2018
Universal Successor Features Approximators
Universal Successor Features Approximators
Diana Borsa
André Barreto
John Quan
D. Mankowitz
Rémi Munos
H. V. Hasselt
David Silver
Tom Schaul
330
124
0
18 Dec 2018
Domain Adaptation for Reinforcement Learning on the Atari
Domain Adaptation for Reinforcement Learning on the Atari
Thomas Carr
Maria Chli
George Vogiatzis
101
26
0
18 Dec 2018
Zero-shot Deep Reinforcement Learning Driving Policy Transfer for
  Autonomous Vehicles based on Robust Control
Zero-shot Deep Reinforcement Learning Driving Policy Transfer for Autonomous Vehicles based on Robust Control
Zhuo Xu
Chen Tang
Masayoshi Tomizuka
OffRL
113
38
0
07 Dec 2018
Pseudo-Rehearsal: Achieving Deep Reinforcement Learning without
  Catastrophic Forgetting
Pseudo-Rehearsal: Achieving Deep Reinforcement Learning without Catastrophic Forgetting
C. Atkinson
B. McCane
Lech Szymanski
Anthony Robins
VLMCLL
331
116
0
06 Dec 2018
An Embarrassingly Simple Approach for Knowledge Distillation
An Embarrassingly Simple Approach for Knowledge Distillation
Mengya Gao
Yujun Shen
Quanquan Li
Junjie Yan
Liang Wan
Dahua Lin
Chen Change Loy
Xiaoou Tang
118
4
0
05 Dec 2018
Overcoming Catastrophic Forgetting by Soft Parameter Pruning
Overcoming Catastrophic Forgetting by Soft Parameter Pruning
Jian-wei Peng
Jiang Hao
Zhuo Li
Enqiang Guo
X. Wan
Min Deng
Qing Zhu
Haifeng Li
CLL
74
5
0
04 Dec 2018
Transferring Knowledge across Learning Processes
Transferring Knowledge across Learning Processes
Sebastian Flennerhag
Pablo G. Moreno
Neil D. Lawrence
Andreas C. Damianou
210
65
0
03 Dec 2018
Efficient Lifelong Learning with A-GEM
Efficient Lifelong Learning with A-GEM
Arslan Chaudhry
MarcÁurelio Ranzato
Marcus Rohrbach
Mohamed Elhoseiny
CLL
830
1,649
0
02 Dec 2018
On the Transferability of Representations in Neural Networks Between
  Datasets and Tasks
On the Transferability of Representations in Neural Networks Between Datasets and Tasks
Haytham M. Fayek
L. Cavedon
H. Wu
95
5
0
29 Nov 2018
Generalized Coarse-to-Fine Visual Recognition with Progressive Training
Generalized Coarse-to-Fine Visual Recognition with Progressive Training
Xutong Ren
Lingxi Xie
Chen Wei
Siyuan Qiao
Chi Su
Jiaying Liu
Qi Tian
Elliot K. Fishman
Alan Yuille
ObjD
132
0
0
29 Nov 2018
Experience Replay for Continual Learning
Experience Replay for Continual Learning
David Rolnick
Arun Ahuja
Jonathan Richard Schwarz
Timothy Lillicrap
Greg Wayne
CLL
444
1,432
0
28 Nov 2018
Hardware Conditioned Policies for Multi-Robot Transfer Learning
Hardware Conditioned Policies for Multi-Robot Transfer LearningNeural Information Processing Systems (NeurIPS), 2018
Tao Chen
Adithyavairavan Murali
Abhinav Gupta
235
116
0
24 Nov 2018
Previous
123...262728293031
Next
Page 27 of 31
Pageof 31