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

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

15 November 2017
Arun Mallya
Svetlana Lazebnik
    CLL
ArXivPDFHTML

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

34 / 734 papers shown
Title
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
19
248
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
OOD
CLL
FedML
19
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
CLL
BDL
21
195
0
06 Jun 2019
Continual learning with hypernetworks
Continual learning with hypernetworks
J. Oswald
Christian Henning
Benjamin Grewe
João Sacramento
CLL
10
349
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
44
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
24
209
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
22
12
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
22
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
16
170
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
23
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
CLL
VLM
18
54
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
29
3
0
01 Apr 2019
Many Task Learning with Task Routing
Many Task Learning with Task Routing
Gjorgji Strezoski
Nanne van Noord
M. Worring
MoE
24
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
BDL
CLL
50
801
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
27
334
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
11
197
0
12 Mar 2019
Online Meta-Learning
Online Meta-Learning
Chelsea Finn
Aravind Rajeswaran
Sham Kakade
Sergey Levine
CLL
33
248
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
OOD
CLL
30
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
20
4
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
6
126
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
35
34
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
29
46
0
01 Oct 2018
StackNet: Stacking Parameters for Continual learning
StackNet: Stacking Parameters for Continual learning
Jangho Kim
Jeesoo Kim
Nojun Kwak
CLL
27
6
0
07 Sep 2018
Catastrophic Importance of Catastrophic Forgetting
Catastrophic Importance of Catastrophic Forgetting
Albert Ierusalem
CLL
AI4CE
14
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
27
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
AIMat
MLLM
BDL
25
640
0
20 Jun 2018
Selfless Sequential Learning
Selfless Sequential Learning
Rahaf Aljundi
Marcus Rohrbach
Tinne Tuytelaars
CLL
28
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
25
51
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
11
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
52
40
0
03 May 2018
Cortex Neural Network: learning with Neural Network groups
Cortex Neural Network: learning with Neural Network groups
Liyao (Mars) Gao
6
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
24
279
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
15
35
0
19 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
41
1,050
0
04 Jan 2018
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