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PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning
v1v2 (latest)

PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning

15 November 2017
Arun Mallya
Svetlana Lazebnik
    CLL
ArXiv (abs)PDFHTMLGithub (233★)

Papers citing "PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning"

50 / 751 papers shown
Title
ScaIL: Classifier Weights Scaling for Class Incremental Learning
ScaIL: Classifier Weights Scaling for Class Incremental Learning
Eden Belouadah
Adrian Daniel Popescu
CLL
97
79
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
94
53
0
07 Jan 2020
Frosting Weights for Better Continual Training
Frosting Weights for Better Continual Training
Xiaofeng Zhu
Feng Liu
Goce Trajcevski
Dingding Wang
FedMLAI4CECLL
53
5
0
07 Jan 2020
Overcoming Long-term Catastrophic Forgetting through Adversarial Neural
  Pruning and Synaptic Consolidation
Overcoming Long-term Catastrophic Forgetting through Adversarial Neural Pruning and Synaptic Consolidation
Jian-wei Peng
Bo Tang
Jiang Hao
Zhuo Li
Yinjie Lei
Tao R. Lin
Haifeng Li
AAMLCLL
75
38
0
19 Dec 2019
Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion
Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion
Hongxu Yin
Pavlo Molchanov
Zhizhong Li
J. Álvarez
Arun Mallya
Derek Hoiem
N. Jha
Jan Kautz
147
570
0
18 Dec 2019
Compacting, Picking and Growing for Unforgetting Continual Learning
Compacting, Picking and Growing for Unforgetting Continual Learning
Steven C. Y. Hung
Cheng-Hao Tu
Cheng-En Wu
Chien-Hung Chen
Yi-Ming Chan
Chu-Song Chen
CLL
115
318
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
69
4
0
10 Oct 2019
Biologically-Inspired Spatial Neural Networks
Biologically-Inspired Spatial Neural Networks
Zhiqing Zhang
Jacek Tabor
Marek Śmieja
Szymon Maszke
43
3
0
07 Oct 2019
Continual Learning in Neural Networks
Continual Learning in Neural Networks
Rahaf Aljundi
CLL
94
34
0
07 Oct 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
81
246
0
18 Sep 2019
Deep Elastic Networks with Model Selection for Multi-Task Learning
Deep Elastic Networks with Model Selection for Multi-Task Learning
Chanho Ahn
Eunwoo Kim
Songhwai Oh
105
49
0
11 Sep 2019
LAMOL: LAnguage MOdeling for Lifelong Language Learning
LAMOL: LAnguage MOdeling for Lifelong Language Learning
Fan-Keng Sun
Cheng-Hao Ho
Hung-yi Lee
CLLKELM
97
213
0
07 Sep 2019
Language Features Matter: Effective Language Representations for
  Vision-Language Tasks
Language Features Matter: Effective Language Representations for Vision-Language Tasks
Andrea Burns
Reuben Tan
Kate Saenko
Stan Sclaroff
Bryan A. Plummer
VLM
58
27
0
17 Aug 2019
Continual Learning by Asymmetric Loss Approximation with Single-Side
  Overestimation
Continual Learning by Asymmetric Loss Approximation with Single-Side Overestimation
Dongmin Park
Seokil Hong
Bohyung Han
Kyoung Mu Lee
AAMLCLL
156
40
0
08 Aug 2019
Context-Aware Multipath Networks
Context-Aware Multipath Networks
Dumindu Tissera
Kumara Kahatapitiya
Rukshan Wijesinghe
Subha Fernando
Ranga Rodrigo
45
7
0
26 Jul 2019
Adaptive Compression-based Lifelong Learning
Adaptive Compression-based Lifelong Learning
Shivangi Srivastava
Maxim Berman
Matthew B. Blaschko
D. Tuia
CLL
77
10
0
23 Jul 2019
NetTailor: Tuning the Architecture, Not Just the Weights
NetTailor: Tuning the Architecture, Not Just the Weights
Pedro Morgado
Nuno Vasconcelos
MQ
56
29
0
29 Jun 2019
Continual Learning for Robotics: Definition, Framework, Learning
  Strategies, Opportunities and Challenges
Continual Learning for Robotics: Definition, Framework, Learning Strategies, Opportunities and Challenges
Timothée Lesort
Vincenzo Lomonaco
Andrei Stoian
Davide Maltoni
David Filliat
Natalia Díaz Rodríguez
CLL
139
250
0
29 Jun 2019
Task Agnostic Continual Learning via Meta Learning
Task Agnostic Continual Learning via Meta Learning
Xu He
Jakub Sygnowski
Alexandre Galashov
Andrei A. Rusu
Yee Whye Teh
Razvan Pascanu
OODCLLFedML
60
94
0
12 Jun 2019
Uncertainty-guided Continual Learning with Bayesian Neural Networks
Uncertainty-guided Continual Learning with Bayesian Neural Networks
Sayna Ebrahimi
Mohamed Elhoseiny
Trevor Darrell
Marcus Rohrbach
CLLBDL
68
197
0
06 Jun 2019
Continual learning with hypernetworks
Continual learning with hypernetworks
J. Oswald
Christian Henning
Benjamin Grewe
João Sacramento
CLL
111
363
0
03 Jun 2019
Progressive Learning of Low-Precision Networks
Progressive Learning of Low-Precision Networks
Zhengguang Zhou
Wen-gang Zhou
Xutao Lv
Xuan Huang
Xiaoyu Wang
Houqiang Li
MQ
55
11
0
28 May 2019
Uncertainty-based Continual Learning with Adaptive Regularization
Uncertainty-based Continual Learning with Adaptive Regularization
Hongjoon Ahn
Sungmin Cha
Donggyu Lee
Taesup Moon
BDL
102
221
0
28 May 2019
Single-Net Continual Learning with Progressive Segmented Training (PST)
Single-Net Continual Learning with Progressive Segmented Training (PST)
Xiaocong Du
Gouranga Charan
Frank Liu
Yu Cao
CLL
64
13
0
28 May 2019
Budget-Aware Adapters for Multi-Domain Learning
Budget-Aware Adapters for Multi-Domain Learning
Rodrigo Berriel
Stéphane Lathuilière
Moin Nabi
T. Klein
Thiago Oliveira-Santos
N. Sebe
Elisa Ricci
OOD
111
41
0
15 May 2019
Towards Efficient Model Compression via Learned Global Ranking
Towards Efficient Model Compression via Learned Global Ranking
Ting-Wu Chin
Ruizhou Ding
Cha Zhang
Diana Marculescu
83
172
0
28 Apr 2019
Deep Virtual Networks for Memory Efficient Inference of Multiple Tasks
Deep Virtual Networks for Memory Efficient Inference of Multiple Tasks
Eunwoo Kim
Chanho Ahn
Philip Torr
Songhwai Oh
59
12
0
09 Apr 2019
M2KD: Multi-model and Multi-level Knowledge Distillation for Incremental
  Learning
M2KD: Multi-model and Multi-level Knowledge Distillation for Incremental Learning
Peng Zhou
Long Mai
Jianming Zhang
N. Xu
Zuxuan Wu
L. Davis
CLLVLM
85
55
0
03 Apr 2019
The RGB-D Triathlon: Towards Agile Visual Toolboxes for Robots
The RGB-D Triathlon: Towards Agile Visual Toolboxes for Robots
Fabio Cermelli
Massimiliano Mancini
Elisa Ricci
Barbara Caputo
55
3
0
01 Apr 2019
Many Task Learning with Task Routing
Many Task Learning with Task Routing
Gjorgji Strezoski
Nanne van Noord
Marcel Worring
MoE
76
96
0
28 Mar 2019
Gradient based sample selection for online continual learning
Gradient based sample selection for online continual learning
Rahaf Aljundi
Min Lin
Baptiste Goujaud
Yoshua Bengio
BDLCLL
146
840
0
20 Mar 2019
Class-incremental Learning via Deep Model Consolidation
Class-incremental Learning via Deep Model Consolidation
Junting Zhang
Jie Zhang
Shalini Ghosh
Dawei Li
Serafettin Tasci
Larry Heck
Heming Zhang
C.-C. Jay Kuo
CLL
121
341
0
19 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
65
198
0
12 Mar 2019
Online Meta-Learning
Online Meta-Learning
Chelsea Finn
Aravind Rajeswaran
Sham Kakade
Sergey Levine
CLL
87
256
0
22 Feb 2019
Incremental Learning with Maximum Entropy Regularization: Rethinking
  Forgetting and Intransigence
Incremental Learning with Maximum Entropy Regularization: Rethinking Forgetting and Intransigence
Dahyun Kim
Jihwan Bae
Yeonsik Jo
Jonghyun Choi
OODCLL
75
20
0
03 Feb 2019
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
27
5
0
04 Dec 2018
Incremental Learning for Semantic Segmentation of Large-Scale Remote
  Sensing Data
Incremental Learning for Semantic Segmentation of Large-Scale Remote Sensing Data
O. Tasar
Y. Tarabalka
Pierre Alliez
CLL
115
127
0
29 Oct 2018
Marginal Replay vs Conditional Replay for Continual Learning
Marginal Replay vs Conditional Replay for Continual Learning
Timothée Lesort
A. Gepperth
Andrei Stoian
David Filliat
BDL
100
35
0
29 Oct 2018
Layer-compensated Pruning for Resource-constrained Convolutional Neural
  Networks
Layer-compensated Pruning for Resource-constrained Convolutional Neural Networks
Ting-Wu Chin
Cha Zhang
Diana Marculescu
86
46
0
01 Oct 2018
StackNet: Stacking Parameters for Continual learning
StackNet: Stacking Parameters for Continual learning
Jangho Kim
Jeesoo Kim
Nojun Kwak
CLL
29
6
0
07 Sep 2018
Catastrophic Importance of Catastrophic Forgetting
Catastrophic Importance of Catastrophic Forgetting
Albert Ierusalem
CLLAI4CE
18
2
0
20 Aug 2018
Learning Visual Question Answering by Bootstrapping Hard Attention
Learning Visual Question Answering by Bootstrapping Hard Attention
Mateusz Malinowski
Carl Doersch
Adam Santoro
Peter W. Battaglia
OOD
92
96
0
01 Aug 2018
The Natural Language Decathlon: Multitask Learning as Question Answering
The Natural Language Decathlon: Multitask Learning as Question Answering
Bryan McCann
N. Keskar
Caiming Xiong
R. Socher
AIMatMLLMBDL
161
647
0
20 Jun 2018
Selfless Sequential Learning
Selfless Sequential Learning
Rahaf Aljundi
Marcus Rohrbach
Tinne Tuytelaars
CLL
72
114
0
14 Jun 2018
Adding New Tasks to a Single Network with Weight Transformations using
  Binary Masks
Adding New Tasks to a Single Network with Weight Transformations using Binary Masks
Massimiliano Mancini
Elisa Ricci
Barbara Caputo
Samuel Rota Buló
103
52
0
28 May 2018
Meta Transfer Learning for Facial Emotion Recognition
Meta Transfer Learning for Facial Emotion Recognition
Dung Nguyen Tien
Kien Nguyen
Sridha Sridharan
Iman Abbasnejad
David Dean
Clinton Fookes
34
18
0
25 May 2018
Pixel-wise Attentional Gating for Parsimonious Pixel Labeling
Pixel-wise Attentional Gating for Parsimonious Pixel Labeling
Shu Kong
Charless C. Fowlkes
99
40
0
03 May 2018
Cortex Neural Network: learning with Neural Network groups
Cortex Neural Network: learning with Neural Network groups
Liyao (Mars) Gao
20
1
0
10 Apr 2018
Alleviating catastrophic forgetting using context-dependent gating and
  synaptic stabilization
Alleviating catastrophic forgetting using context-dependent gating and synaptic stabilization
Nicolas Y. Masse
Gregory D. Grant
David J. Freedman
75
283
0
02 Feb 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
72
35
0
19 Jan 2018
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