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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
Residual Continual Learning
Residual Continual LearningAAAI Conference on Artificial Intelligence (AAAI), 2020
Janghyeon Lee
Donggyu Joo
H. Hong
Junmo Kim
CLL
226
25
0
17 Feb 2020
BatchEnsemble: An Alternative Approach to Efficient Ensemble and
  Lifelong Learning
BatchEnsemble: An Alternative Approach to Efficient Ensemble and Lifelong LearningInternational Conference on Learning Representations (ICLR), 2020
Yeming Wen
Dustin Tran
Jimmy Ba
OODFedMLUQCV
455
540
0
17 Feb 2020
Multi-Task Incremental Learning for Object Detection
Multi-Task Incremental Learning for Object Detection
Xialei Liu
Hao Yang
Avinash Ravichandran
Rahul Bhotika
Stefano Soatto
ObjDVLMCLL
211
13
0
13 Feb 2020
Multi-Task Learning by a Top-Down Control Network
Multi-Task Learning by a Top-Down Control NetworkInternational Conference on Information Photonics (ICIP), 2020
Hila Levi
S. Ullman
276
7
0
09 Feb 2020
Uncertainty-based Modulation for Lifelong Learning
Uncertainty-based Modulation for Lifelong LearningNeural Networks (NN), 2019
Andrew P. Brna
Ryan C. Brown
P. Connolly
Stephen B. Simons
R. E. Shimizu
Mario Aguilar-Simon
128
21
0
27 Jan 2020
SPACE: Structured Compression and Sharing of Representational Space for
  Continual Learning
SPACE: Structured Compression and Sharing of Representational Space for Continual LearningIEEE Access (IEEE Access), 2020
Gobinda Saha
Isha Garg
Aayush Ankit
Kaushik Roy
CLL
272
25
0
23 Jan 2020
A Review on Generative Adversarial Networks: Algorithms, Theory, and
  Applications
A Review on Generative Adversarial Networks: Algorithms, Theory, and ApplicationsIEEE Transactions on Knowledge and Data Engineering (TKDE), 2020
Jie Gui
Zhenan Sun
Yonggang Wen
Dacheng Tao
Jieping Ye
EGVM
316
1,032
0
20 Jan 2020
Gradient Surgery for Multi-Task Learning
Gradient Surgery for Multi-Task LearningNeural Information Processing Systems (NeurIPS), 2020
Tianhe Yu
Saurabh Kumar
Abhishek Gupta
Sergey Levine
Karol Hausman
Chelsea Finn
778
1,546
0
19 Jan 2020
ScaIL: Classifier Weights Scaling for Class Incremental Learning
ScaIL: Classifier Weights Scaling for Class Incremental LearningIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2020
Eden Belouadah
Adrian Daniel Popescu
CLL
218
89
0
16 Jan 2020
Dynamic Task Weighting Methods for Multi-task Networks in Autonomous
  Driving Systems
Dynamic Task Weighting Methods for Multi-task Networks in Autonomous Driving Systems
Isabelle Leang
Ganesh Sistu
Fabian Burger
Andrei Bursuc
S. Yogamani
297
56
0
07 Jan 2020
Attention over Parameters for Dialogue Systems
Attention over Parameters for Dialogue Systems
Andrea Madotto
Mohammad Kachuee
Chien-Sheng Wu
Jamin Shin
Pascale Fung
312
21
0
07 Jan 2020
Frosting Weights for Better Continual Training
Frosting Weights for Better Continual TrainingInternational Conference on Machine Learning and Applications (ICMLA), 2019
Xiaofeng Zhu
Feng Liu
Goce Trajcevski
Dingding Wang
FedMLAI4CECLL
211
5
0
07 Jan 2020
Dissecting Catastrophic Forgetting in Continual Learning by Deep
  Visualization
Dissecting Catastrophic Forgetting in Continual Learning by Deep Visualization
Giang Nguyen
Shuan Chen
T. Do
Tae Joon Jun
Ho-Jin Choi
Daeyoung Kim
161
12
0
06 Jan 2020
A Neural Dirichlet Process Mixture Model for Task-Free Continual
  Learning
A Neural Dirichlet Process Mixture Model for Task-Free Continual LearningInternational Conference on Learning Representations (ICLR), 2020
Soochan Lee
Junsoo Ha
Dongsu Zhang
Gunhee Kim
BDLCLL
425
233
0
03 Jan 2020
Side-Tuning: A Baseline for Network Adaptation via Additive Side
  Networks
Side-Tuning: A Baseline for Network Adaptation via Additive Side Networks
Jeffrey O. Zhang
Alexander Sax
Amir Zamir
Leonidas Guibas
Jitendra Malik
214
29
0
31 Dec 2019
On the Role of Weight Sharing During Deep Option Learning
On the Role of Weight Sharing During Deep Option LearningAAAI Conference on Artificial Intelligence (AAAI), 2019
Matthew D Riemer
Ignacio Cases
Clemens Rosenbaum
Miao Liu
Gerald Tesauro
OffRL
255
22
0
31 Dec 2019
Towards Practical Multi-Object Manipulation using Relational
  Reinforcement Learning
Towards Practical Multi-Object Manipulation using Relational Reinforcement LearningIEEE International Conference on Robotics and Automation (ICRA), 2019
R. Li
Allan Jabri
Trevor Darrell
Pulkit Agrawal
OffRL
142
118
0
23 Dec 2019
Overcoming Long-term Catastrophic Forgetting through Adversarial Neural
  Pruning and Synaptic Consolidation
Overcoming Long-term Catastrophic Forgetting through Adversarial Neural Pruning and Synaptic ConsolidationIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019
Jian-wei Peng
Bo Tang
Jiang Hao
Zhuo Li
Yinjie Lei
Tao Lin
Haifeng Li
AAMLCLL
170
41
0
19 Dec 2019
L3DOC: Lifelong 3D Object Classification
L3DOC: Lifelong 3D Object Classification
Yuyang Liu
Yang Cong
Gan Sun
3DPC
139
2
0
12 Dec 2019
How to Evaluate the Next System: Automatic Dialogue Evaluation from the
  Perspective of Continual Learning
How to Evaluate the Next System: Automatic Dialogue Evaluation from the Perspective of Continual Learning
Lu Li
Zhongheng He
Xiangyang Zhou
Dianhai Yu
125
3
0
10 Dec 2019
Regularization Shortcomings for Continual Learning
Regularization Shortcomings for Continual Learning
Timothée Lesort
Andrei Stoian
David Filliat
CLL
307
50
0
06 Dec 2019
Hierarchical Indian Buffet Neural Networks for Bayesian Continual
  Learning
Hierarchical Indian Buffet Neural Networks for Bayesian Continual LearningConference on Uncertainty in Artificial Intelligence (UAI), 2019
Samuel Kessler
Vu Nguyen
S. Zohren
Stephen J. Roberts
BDL
484
26
0
04 Dec 2019
Overcoming Catastrophic Forgetting by Generative Regularization
Overcoming Catastrophic Forgetting by Generative RegularizationInternational Conference on Machine Learning (ICML), 2019
Peiqiu Chen
Wei Wei
Cho-Jui Hsieh
Bo Dai
CLL
121
18
0
03 Dec 2019
AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning
AdaShare: Learning What To Share For Efficient Deep Multi-Task LearningNeural Information Processing Systems (NeurIPS), 2019
Ximeng Sun
Yikang Shen
Rogerio Feris
Kate Saenko
303
306
0
27 Nov 2019
GRIm-RePR: Prioritising Generating Important Features for
  Pseudo-Rehearsal
GRIm-RePR: Prioritising Generating Important Features for Pseudo-Rehearsal
C. Atkinson
B. McCane
Lech Szymanski
Anthony Robins
107
0
0
27 Nov 2019
Disentangled Cumulants Help Successor Representations Transfer to New
  Tasks
Disentangled Cumulants Help Successor Representations Transfer to New Tasks
Christopher Grimm
I. Higgins
André Barreto
Denis Teplyashin
Markus Wulfmeier
Tim Hertweck
R. Hadsell
Satinder Singh
163
14
0
25 Nov 2019
A Conceptual Framework for Lifelong Learning
A Conceptual Framework for Lifelong Learning
Charles X. Ling
Tanner A. Bohn
CLL
289
3
0
21 Nov 2019
Continual Learning with Adaptive Weights (CLAW)
Continual Learning with Adaptive Weights (CLAW)International Conference on Learning Representations (ICLR), 2019
T. Adel
Han Zhao
Richard Turner
CLL
198
79
0
21 Nov 2019
Online Learned Continual Compression with Adaptive Quantization Modules
Online Learned Continual Compression with Adaptive Quantization Modules
Lucas Caccia
Eugene Belilovsky
Massimo Caccia
Joelle Pineau
280
5
0
19 Nov 2019
Maintaining Discrimination and Fairness in Class Incremental Learning
Maintaining Discrimination and Fairness in Class Incremental LearningComputer Vision and Pattern Recognition (CVPR), 2019
Bowen Zhao
Xi Xiao
Guojun Gan
Bin Zhang
Shutao Xia
CLL
422
513
0
16 Nov 2019
Learning from the Past: Continual Meta-Learning via Bayesian Graph
  Modeling
Learning from the Past: Continual Meta-Learning via Bayesian Graph ModelingAAAI Conference on Artificial Intelligence (AAAI), 2019
Yadan Luo
Zi Huang
Zheng Zhang
Ziwei Wang
Mahsa Baktashmotlagh
Yang Yang
CLLBDL
124
27
0
12 Nov 2019
Team NCTU: Toward AI-Driving for Autonomous Surface Vehicles -- From
  Duckietown to RobotX
Team NCTU: Toward AI-Driving for Autonomous Surface Vehicles -- From Duckietown to RobotX
Yi-Wei Huang
Tzu-Kuan Chuang
Ni-Ching Lin
Yu-Chieh Hsiao
Pin-Wei Chen
...
Sin-Kiat Lim
K. Lua
Chia-Hung Dylan Tsai
Chi-Fang Chen
Hsueh-Cheng Wang
88
6
0
31 Oct 2019
Continual Unsupervised Representation Learning
Continual Unsupervised Representation LearningNeural Information Processing Systems (NeurIPS), 2019
Dushyant Rao
Francesco Visin
Andrei A. Rusu
Yee Whye Teh
Razvan Pascanu
R. Hadsell
BDLCLLSSLDRL
134
283
0
31 Oct 2019
MOD: A Deep Mixture Model with Online Knowledge Distillation for Large
  Scale Video Temporal Concept Localization
MOD: A Deep Mixture Model with Online Knowledge Distillation for Large Scale Video Temporal Concept Localization
Rongcheng Lin
Jing Xiao
Jianping Fan
82
4
0
27 Oct 2019
Adversarial Feature Alignment: Avoid Catastrophic Forgetting in
  Incremental Task Lifelong Learning
Adversarial Feature Alignment: Avoid Catastrophic Forgetting in Incremental Task Lifelong LearningNeural Computation (Neural Comput.), 2019
Hang Zhou
Ziwei Liu
Chenglei Wu
Ping Luo
Lifeng Sun
CLL
250
25
0
24 Oct 2019
Object landmark discovery through unsupervised adaptation
Object landmark discovery through unsupervised adaptationNeural Information Processing Systems (NeurIPS), 2019
Enrique Sanchez
Georgios Tzimiropoulos
158
24
0
21 Oct 2019
Orthogonal Gradient Descent for Continual Learning
Orthogonal Gradient Descent for Continual LearningInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2019
Mehrdad Farajtabar
Navid Azizan
Alex Mott
Ang Li
CLL
690
453
0
15 Oct 2019
Compacting, Picking and Growing for Unforgetting Continual Learning
Compacting, Picking and Growing for Unforgetting Continual LearningNeural Information Processing Systems (NeurIPS), 2019
Steven C. Y. Hung
Cheng-Hao Tu
Cheng-En Wu
Chien-Hung Chen
Yi-Ming Chan
Chu-Song Chen
CLL
390
353
0
15 Oct 2019
Learning to Remember from a Multi-Task Teacher
Learning to Remember from a Multi-Task Teacher
Yuwen Xiong
Mengye Ren
R. Urtasun
CLLKELMOOD
159
4
0
10 Oct 2019
Continual Learning Using Bayesian Neural Networks
Continual Learning Using Bayesian Neural NetworksIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019
Honglin Li
Payam Barnaghi
Shirin Enshaeifar
F. Ganz
BDL
119
45
0
09 Oct 2019
Ctrl-Z: Recovering from Instability in Reinforcement Learning
Ctrl-Z: Recovering from Instability in Reinforcement Learning
Vibhavari Dasagi
Jake Bruce
T. Peynot
Jurgen Leitner
144
11
0
09 Oct 2019
REMIND Your Neural Network to Prevent Catastrophic Forgetting
REMIND Your Neural Network to Prevent Catastrophic ForgettingEuropean Conference on Computer Vision (ECCV), 2019
Tyler L. Hayes
Kushal Kafle
Robik Shrestha
Manoj Acharya
Christopher Kanan
CLL
441
330
0
06 Oct 2019
Domain Expansion in DNN-based Acoustic Models for Robust Speech
  Recognition
Domain Expansion in DNN-based Acoustic Models for Robust Speech RecognitionAutomatic Speech Recognition & Understanding (ASRU), 2019
Shahram Ghorbani
S. Khorram
John H. L. Hansen
129
19
0
01 Oct 2019
Deep Model Transferability from Attribution Maps
Deep Model Transferability from Attribution MapsNeural Information Processing Systems (NeurIPS), 2019
Mingli Song
Yixin Chen
Xinchao Wang
Chengchao Shen
Xiuming Zhang
219
60
0
26 Sep 2019
Improved Schemes for Episodic Memory-based Lifelong Learning
Improved Schemes for Episodic Memory-based Lifelong Learning
Yunhui Guo
Mingrui Liu
Tianbao Yang
Tajana Simunic
CLL
256
10
0
25 Sep 2019
Recurrent Independent Mechanisms
Recurrent Independent MechanismsInternational Conference on Learning Representations (ICLR), 2019
Anirudh Goyal
Alex Lamb
Jordan Hoffmann
Shagun Sodhani
Sergey Levine
Yoshua Bengio
Bernhard Schölkopf
598
353
0
24 Sep 2019
Multi-task Learning and Catastrophic Forgetting in Continual
  Reinforcement Learning
Multi-task Learning and Catastrophic Forgetting in Continual Reinforcement LearningGlobal Conference on Artificial Intelligence (GAI), 2019
Joao G. Ribeiro
Francisco S. Melo
João Dias
CLL
158
12
0
22 Sep 2019
ContCap: A scalable framework for continual image captioning
ContCap: A scalable framework for continual image captioning
Giang Nguyen
Tae Joon Jun
T. Tran
Tolcha Yalew
Daeyoung Kim
VLMCLL
118
13
0
19 Sep 2019
A continual learning survey: Defying forgetting in classification tasks
A continual learning survey: Defying forgetting in classification tasks
Matthias De Lange
Rahaf Aljundi
Marc Masana
Sarah Parisot
Xu Jia
A. Leonardis
Greg Slabaugh
Tinne Tuytelaars
CLLKELM
323
258
0
18 Sep 2019
On educating machines
On educating machines
George Leu
Jiangjun Tang
AI4CE
101
0
0
13 Sep 2019
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