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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"

50 / 735 papers shown
Title
RBC: Rectifying the Biased Context in Continual Semantic Segmentation
RBC: Rectifying the Biased Context in Continual Semantic Segmentation
Hanbin Zhao
Fengyu Yang
Xinghe Fu
Xi Li
CLL
41
30
0
16 Mar 2022
Continual Prompt Tuning for Dialog State Tracking
Continual Prompt Tuning for Dialog State Tracking
Qi Zhu
Bing Li
Fei Mi
Xiaoyan Zhu
Minlie Huang
CLL
KELM
37
57
0
13 Mar 2022
Sparsity and Heterogeneous Dropout for Continual Learning in the Null
  Space of Neural Activations
Sparsity and Heterogeneous Dropout for Continual Learning in the Null Space of Neural Activations
Ali Abbasi
Parsa Nooralinejad
Vladimir Braverman
Hamed Pirsiavash
Soheil Kolouri
CLL
41
16
0
12 Mar 2022
Deep Class Incremental Learning from Decentralized Data
Deep Class Incremental Learning from Decentralized Data
Xiaohan Zhang
Songlin Dong
Jinjie Chen
Qiaoling Tian
Yihong Gong
Xiaopeng Hong
CLL
33
11
0
11 Mar 2022
AGCN: Augmented Graph Convolutional Network for Lifelong Multi-label
  Image Recognition
AGCN: Augmented Graph Convolutional Network for Lifelong Multi-label Image Recognition
Kaile Du
Fan Lyu
Fuyuan Hu
Linyan Li
Wei Feng
Fenglei Xu
Qiming Fu
CLL
29
18
0
10 Mar 2022
YONO: Modeling Multiple Heterogeneous Neural Networks on
  Microcontrollers
YONO: Modeling Multiple Heterogeneous Neural Networks on Microcontrollers
Young D. Kwon
Jagmohan Chauhan
Cecilia Mascolo
24
13
0
08 Mar 2022
Provable and Efficient Continual Representation Learning
Provable and Efficient Continual Representation Learning
Yingcong Li
Mingchen Li
Ulugbek S. Kamilov
Samet Oymak
CLL
30
11
0
03 Mar 2022
NeuRecover: Regression-Controlled Repair of Deep Neural Networks with
  Training History
NeuRecover: Regression-Controlled Repair of Deep Neural Networks with Training History
Sho Tokui
Susumu Tokumoto
Akihito Yoshii
Fuyuki Ishikawa
Takao Nakagawa
Kazuki Munakata
Shinji Kikuchi
KELM
29
25
0
01 Mar 2022
ASC me to Do Anything: Multi-task Training for Embodied AI
ASC me to Do Anything: Multi-task Training for Embodied AI
Jiasen Lu
Jordi Salvador
Roozbeh Mottaghi
Aniruddha Kembhavi
41
3
0
14 Feb 2022
Incremental Learning of Structured Memory via Closed-Loop Transcription
Incremental Learning of Structured Memory via Closed-Loop Transcription
Shengbang Tong
Xili Dai
Ziyang Wu
Mingyang Li
Brent Yi
Yi Ma
CLL
35
18
0
11 Feb 2022
Continual Attentive Fusion for Incremental Learning in Semantic
  Segmentation
Continual Attentive Fusion for Incremental Learning in Semantic Segmentation
Guanglei Yang
Enrico Fini
Dan Xu
Paolo Rota
Mingli Ding
Hao Tang
Xavier Alameda-Pineda
Elisa Ricci
CLL
38
22
0
01 Feb 2022
Architecture Matters in Continual Learning
Architecture Matters in Continual Learning
Seyed Iman Mirzadeh
Arslan Chaudhry
Dong Yin
Timothy Nguyen
Razvan Pascanu
Dilan Görür
Mehrdad Farajtabar
OOD
KELM
118
58
0
01 Feb 2022
Modeling the Background for Incremental and Weakly-Supervised Semantic
  Segmentation
Modeling the Background for Incremental and Weakly-Supervised Semantic Segmentation
Fabio Cermelli
Massimiliano Mancini
Samuel Rota Buló
Elisa Ricci
Barbara Caputo
CLL
31
8
0
31 Jan 2022
Continual Learning for CTR Prediction: A Hybrid Approach
Continual Learning for CTR Prediction: A Hybrid Approach
Ke Hu
Yi Qi
Jianqiang Huang
Jia Cheng
Jun Lei
28
6
0
18 Jan 2022
Technical Report for ICCV 2021 Challenge SSLAD-Track3B: Transformers Are
  Better Continual Learners
Technical Report for ICCV 2021 Challenge SSLAD-Track3B: Transformers Are Better Continual Learners
Duo Li
Guimei Cao
Yunlu Xu
Zhanzhan Cheng
Yi Niu
CLL
27
21
0
13 Jan 2022
Exemplar-free Class Incremental Learning via Discriminative and
  Comparable One-class Classifiers
Exemplar-free Class Incremental Learning via Discriminative and Comparable One-class Classifiers
Wenju Sun
Qingyong Li
Jing Zhang
Danyu Wang
Wen Wang
Yangli-ao Geng
BDL
24
3
0
05 Jan 2022
Self-directed Machine Learning
Self-directed Machine Learning
Wenwu Zhu
Xin Wang
P. Xie
19
6
0
04 Jan 2022
Class-Incremental Continual Learning into the eXtended DER-verse
Class-Incremental Continual Learning into the eXtended DER-verse
Matteo Boschini
Lorenzo Bonicelli
Pietro Buzzega
Angelo Porrello
Simone Calderara
CLL
BDL
32
128
0
03 Jan 2022
Relational Experience Replay: Continual Learning by Adaptively Tuning
  Task-wise Relationship
Relational Experience Replay: Continual Learning by Adaptively Tuning Task-wise Relationship
Quanziang Wang
Renzhen Wang
Yuexiang Li
Dong Wei
Kai Ma
Yefeng Zheng
Deyu Meng
CLL
38
7
0
31 Dec 2021
Continually Learning Self-Supervised Representations with Projected
  Functional Regularization
Continually Learning Self-Supervised Representations with Projected Functional Regularization
Alex Gomez-Villa
Bartlomiej Twardowski
Lu Yu
Andrew D. Bagdanov
Joost van de Weijer
CLL
SSL
28
37
0
30 Dec 2021
FRIDA -- Generative Feature Replay for Incremental Domain Adaptation
FRIDA -- Generative Feature Replay for Incremental Domain Adaptation
Sayan Rakshit
Anwesh Mohanty
Ruchika Chavhan
Biplab Banerjee
Gemma Roig
S. Chaudhuri
CLL
17
10
0
28 Dec 2021
Generative Kernel Continual learning
Generative Kernel Continual learning
Mohammad Mahdi Derakhshani
Xiantong Zhen
Ling Shao
Cees G. M. Snoek
BDL
VLM
41
0
0
26 Dec 2021
Compact Multi-level Sparse Neural Networks with Input Independent
  Dynamic Rerouting
Compact Multi-level Sparse Neural Networks with Input Independent Dynamic Rerouting
Minghai Qin
Tianyun Zhang
Fei Sun
Yen-kuang Chen
M. Fardad
Yanzhi Wang
Yuan Xie
49
0
0
21 Dec 2021
Continual Learning with Knowledge Transfer for Sentiment Classification
Continual Learning with Knowledge Transfer for Sentiment Classification
Zixuan Ke
Bing-Quan Liu
Hao Wang
Lei Shu
CLL
21
30
0
18 Dec 2021
Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks
Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks
Zixuan Ke
Bing-Quan Liu
Xingchang Huang
CLL
25
122
0
18 Dec 2021
An Empirical Investigation of the Role of Pre-training in Lifelong
  Learning
An Empirical Investigation of the Role of Pre-training in Lifelong Learning
Sanket Vaibhav Mehta
Darshan Patil
Sarath Chandar
Emma Strubell
CLL
45
137
0
16 Dec 2021
Learning to Prompt for Continual Learning
Learning to Prompt for Continual Learning
Zifeng Wang
Zizhao Zhang
Chen-Yu Lee
Han Zhang
Ruoxi Sun
Xiaoqi Ren
Guolong Su
Vincent Perot
Jennifer Dy
Tomas Pfister
CLL
VPVLM
KELM
VLM
22
739
0
16 Dec 2021
A Contrastive Distillation Approach for Incremental Semantic
  Segmentation in Aerial Images
A Contrastive Distillation Approach for Incremental Semantic Segmentation in Aerial Images
Edoardo Arnaudo
Fabio Cermelli
A. Tavera
Claudio Rossi
Barbara Caputo
CLL
19
9
0
07 Dec 2021
Forward Compatible Training for Large-Scale Embedding Retrieval Systems
Forward Compatible Training for Large-Scale Embedding Retrieval Systems
Vivek Ramanujan
Pavan Kumar Anasosalu Vasu
Ali Farhadi
Oncel Tuzel
Hadi Pouransari
VLM
32
16
0
06 Dec 2021
Adapting BERT for Continual Learning of a Sequence of Aspect Sentiment
  Classification Tasks
Adapting BERT for Continual Learning of a Sequence of Aspect Sentiment Classification Tasks
Zixuan Ke
Hu Xu
Bing-Quan Liu
CLL
247
83
0
06 Dec 2021
Achieving Forgetting Prevention and Knowledge Transfer in Continual
  Learning
Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning
Zixuan Ke
Bing-Quan Liu
Nianzu Ma
Hu Xu
Lei Shu
CLL
192
122
0
05 Dec 2021
Overcome Anterograde Forgetting with Cycled Memory Networks
Overcome Anterograde Forgetting with Cycled Memory Networks
Jian Peng
Dingqi. Ye
Bo Tang
Yinjie Lei
Yu Liu
Haifeng Li
KELM
CLL
25
1
0
04 Dec 2021
Non-IID data and Continual Learning processes in Federated Learning: A
  long road ahead
Non-IID data and Continual Learning processes in Federated Learning: A long road ahead
Marcos F. Criado
F. Casado
R. Iglesias
Carlos V. Regueiro
S. Barro
FedML
38
77
0
26 Nov 2021
Coarse-To-Fine Incremental Few-Shot Learning
Coarse-To-Fine Incremental Few-Shot Learning
Xiang Xiang
Yuwen Tan
Qian Wan
Jing Ma
CLL
32
12
0
24 Nov 2021
Reviewing continual learning from the perspective of human-level
  intelligence
Reviewing continual learning from the perspective of human-level intelligence
Yifan Chang
Wenbo Li
Jian Peng
Bo Tang
Yuzhi Kang
Yinjie Lei
Yuanmiao Gui
Qing Zhu
Yu Liu
Haifeng Li
39
4
0
23 Nov 2021
FFNB: Forgetting-Free Neural Blocks for Deep Continual Visual Learning
FFNB: Forgetting-Free Neural Blocks for Deep Continual Visual Learning
H. Sahbi
Haoming Zhan
AI4CE
33
1
0
22 Nov 2021
TaskDrop: A Competitive Baseline for Continual Learning of Sentiment
  Classification
TaskDrop: A Competitive Baseline for Continual Learning of Sentiment Classification
Jianping Mei
Yilun Zheng
Qianwei Zhou
Rui Yan
VLM
CLL
17
6
0
05 Nov 2021
International Workshop on Continual Semi-Supervised Learning:
  Introduction, Benchmarks and Baselines
International Workshop on Continual Semi-Supervised Learning: Introduction, Benchmarks and Baselines
Ajmal Shahbaz
Salman Khan
M. Hossain
Vincenzo Lomonaco
Kevin J. Cannons
Zhan Xu
Fabio Cuzzolin
CLL
MU
16
4
0
27 Oct 2021
Multi-Domain Incremental Learning for Semantic Segmentation
Multi-Domain Incremental Learning for Semantic Segmentation
Prachi Garg
Rohit Saluja
V. Balasubramanian
Chetan Arora
A. Subramanian
C. V. Jawahar
CLL
25
32
0
23 Oct 2021
HCV: Hierarchy-Consistency Verification for Incremental
  Implicitly-Refined Classification
HCV: Hierarchy-Consistency Verification for Incremental Implicitly-Refined Classification
Kai Wang
Xialei Liu
Luis Herranz
Joost van de Weijer
CLL
27
4
0
21 Oct 2021
Class Incremental Online Streaming Learning
Class Incremental Online Streaming Learning
S. Banerjee
Vinay Kumar Verma
T. Parag
M. Singh
Vinay P. Namboodiri
CLL
37
4
0
20 Oct 2021
Online Continual Learning on Class Incremental Blurry Task Configuration
  with Anytime Inference
Online Continual Learning on Class Incremental Blurry Task Configuration with Anytime Inference
Hyun-woo Koh
Dahyun Kim
Jung-Woo Ha
Jonghyun Choi
CLL
33
65
0
19 Oct 2021
FedSpeech: Federated Text-to-Speech with Continual Learning
FedSpeech: Federated Text-to-Speech with Continual Learning
Ziyue Jiang
Yi Ren
Ming Lei
Zhou Zhao
FedML
101
24
0
14 Oct 2021
Avoiding Forgetting and Allowing Forward Transfer in Continual Learning
  via Sparse Networks
Avoiding Forgetting and Allowing Forward Transfer in Continual Learning via Sparse Networks
Ghada Sokar
Decebal Constantin Mocanu
Mykola Pechenizkiy
CLL
35
8
0
11 Oct 2021
Flattening Sharpness for Dynamic Gradient Projection Memory Benefits
  Continual Learning
Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning
Danruo Deng
Guangyong Chen
Jianye Hao
Qiong Wang
Pheng-Ann Heng
CLL
AAML
22
77
0
09 Oct 2021
Powerpropagation: A sparsity inducing weight reparameterisation
Powerpropagation: A sparsity inducing weight reparameterisation
Jonathan Richard Schwarz
Siddhant M. Jayakumar
Razvan Pascanu
P. Latham
Yee Whye Teh
98
54
0
01 Oct 2021
Recent Advances of Continual Learning in Computer Vision: An Overview
Recent Advances of Continual Learning in Computer Vision: An Overview
Haoxuan Qu
Hossein Rahmani
Li Xu
Bryan M. Williams
Jun Liu
VLM
CLL
30
73
0
23 Sep 2021
Neural network relief: a pruning algorithm based on neural activity
Neural network relief: a pruning algorithm based on neural activity
Aleksandr Dekhovich
David Tax
M. Sluiter
Miguel A. Bessa
46
10
0
22 Sep 2021
AirLoop: Lifelong Loop Closure Detection
AirLoop: Lifelong Loop Closure Detection
Dasong Gao
Chen Wang
Sebastian Scherer
22
17
0
18 Sep 2021
Total Recall: a Customized Continual Learning Method for Neural Semantic
  Parsers
Total Recall: a Customized Continual Learning Method for Neural Semantic Parsers
Zhuang Li
Lizhen Qu
Gholamreza Haffari
CLL
40
15
0
11 Sep 2021
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