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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
Class-Incremental Learning with Strong Pre-trained Models
Class-Incremental Learning with Strong Pre-trained Models
Tz-Ying Wu
Gurumurthy Swaminathan
Zhizhong Li
Avinash Ravichandran
Nuno Vasconcelos
Rahul Bhotika
Stefano Soatto
CLL
139
67
0
07 Apr 2022
Incremental Prototype Tuning for Class Incremental Learning
Incremental Prototype Tuning for Class Incremental Learning
Jieren Deng
Jianhua Hu
Haojian Zhang
Yunkuan Wang
CLLVLM
110
3
0
07 Apr 2022
Re-examining Distillation For Continual Object Detection
Re-examining Distillation For Continual Object Detection
Eli Verwimp
Kuo Yang
Sarah Parisot
Hong Lanqing
Jingyu Sun
Eduardo Pérez-Pellitero
Matthias De Lange
Tinne Tuytelaars
VLM
111
6
0
04 Apr 2022
Task Adaptive Parameter Sharing for Multi-Task Learning
Task Adaptive Parameter Sharing for Multi-Task Learning
Matthew Wallingford
Hao Li
Alessandro Achille
Avinash Ravichandran
Charless C. Fowlkes
Rahul Bhotika
Stefano Soatto
MoMe
88
63
0
30 Mar 2022
Unseen Classes at a Later Time? No Problem
Unseen Classes at a Later Time? No Problem
Hari Chandana Kuchibhotla
Sumitra S Malagi
Shivam Chandhok
V. Balasubramanian
CLL
87
10
0
30 Mar 2022
Energy-based Latent Aligner for Incremental Learning
Energy-based Latent Aligner for Incremental Learning
K. J. Joseph
Salman Khan
Fahad Shahbaz Khan
Rao Muhammad Anwer
V. Balasubramanian
CLL
96
48
0
28 Mar 2022
Gradient-Matching Coresets for Rehearsal-Based Continual Learning
Gradient-Matching Coresets for Rehearsal-Based Continual Learning
Lukas Balles
Giovanni Zappella
Cédric Archambeau
CLL
55
3
0
28 Mar 2022
Uncertainty-aware Contrastive Distillation for Incremental Semantic
  Segmentation
Uncertainty-aware Contrastive Distillation for Incremental Semantic Segmentation
Guanglei Yang
Enrico Fini
Dan Xu
Paolo Rota
Mingli Ding
Moin Nabi
Xavier Alameda-Pineda
Elisa Ricci
CLL
82
68
0
26 Mar 2022
Towards Exemplar-Free Continual Learning in Vision Transformers: an
  Account of Attention, Functional and Weight Regularization
Towards Exemplar-Free Continual Learning in Vision Transformers: an Account of Attention, Functional and Weight Regularization
Francesco Pelosin
Saurav Jha
A. Torsello
Bogdan Raducanu
Joost van de Weijer
CLL
117
31
0
24 Mar 2022
Continual Learning and Private Unlearning
Continual Learning and Private Unlearning
B. Liu
Qian Liu
Peter Stone
CLLMU
96
62
0
24 Mar 2022
Unsupervised Simultaneous Learning for Camera Re-Localization and Depth
  Estimation from Video
Unsupervised Simultaneous Learning for Camera Re-Localization and Depth Estimation from Video
S. Taguchi
Noriaki Hirose
SSLMDE
60
1
0
24 Mar 2022
Meta-attention for ViT-backed Continual Learning
Meta-attention for ViT-backed Continual Learning
Mengqi Xue
Haofei Zhang
Mingli Song
Mingli Song
CLL
75
43
0
22 Mar 2022
Continual Sequence Generation with Adaptive Compositional Modules
Continual Sequence Generation with Adaptive Compositional Modules
Yanzhe Zhang
Xuezhi Wang
Diyi Yang
KELMCLL
100
43
0
20 Mar 2022
Incremental Few-Shot Learning via Implanting and Compressing
Incremental Few-Shot Learning via Implanting and Compressing
Yiting Li
H. Zhu
Xijia Feng
Zilong Cheng
Jun Ma
Cheng Xiang
P. Vadakkepat
T. Lee
CLLVLM
94
2
0
19 Mar 2022
Continual Learning Based on OOD Detection and Task Masking
Continual Learning Based on OOD Detection and Task Masking
Gyuhak Kim
Sepideh Esmaeilpour
Changnan Xiao
Bing-Quan Liu
OODDCLL
57
18
0
17 Mar 2022
A Continual Learning Framework for Adaptive Defect Classification and
  Inspection
A Continual Learning Framework for Adaptive Defect Classification and Inspection
Wenbo Sun
Raed Al Kontar
Judy Jin
Tzyy-Shuh Chang
47
11
0
16 Mar 2022
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
125
31
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
CLLKELM
92
60
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
75
18
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
81
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
74
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
70
13
0
08 Mar 2022
Provable and Efficient Continual Representation Learning
Provable and Efficient Continual Representation Learning
Yingcong Li
Mingchen Li
M. Salman Asif
Samet Oymak
CLL
61
13
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
64
27
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
60
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-An Ma
CLL
88
19
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
74
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
OODKELM
170
63
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
70
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
50
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
89
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
85
3
0
05 Jan 2022
Self-directed Machine Learning
Self-directed Machine Learning
Wenwu Zhu
Xin Eric Wang
P. Xie
67
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
CLLBDL
109
142
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
102
9
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
CLLSSL
102
41
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
45
11
0
28 Dec 2021
Generative Kernel Continual learning
Generative Kernel Continual learning
Mohammad Mahdi Derakhshani
Xiantong Zhen
Ling Shao
Cees G. M. Snoek
BDLVLM
45
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
98
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
95
31
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
71
125
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
151
145
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
CLLVPVLMKELMVLM
107
801
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
56
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
75
19
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
309
85
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
219
127
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
KELMCLL
122
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
80
82
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
90
12
0
24 Nov 2021
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