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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 / 800 papers shown
Incremental Prototype Tuning for Class Incremental Learning
Incremental Prototype Tuning for Class Incremental Learning
Jieren Deng
Jianhua Hu
Haojian Zhang
Yunkuan Wang
CLLVLM
448
3
0
07 Apr 2022
Re-examining Distillation For Continual Object Detection
Re-examining Distillation For Continual Object DetectionBritish Machine Vision Conference (BMVC), 2022
Eli Verwimp
Kuo Yang
Sarah Parisot
Hong Lanqing
Jingyu Sun
Eduardo Pérez-Pellitero
Matthias De Lange
Tinne Tuytelaars
VLM
293
7
0
04 Apr 2022
Task Adaptive Parameter Sharing for Multi-Task Learning
Task Adaptive Parameter Sharing for Multi-Task LearningComputer Vision and Pattern Recognition (CVPR), 2022
Matthew Wallingford
Hao Li
Alessandro Achille
Avinash Ravichandran
Charless C. Fowlkes
Rahul Bhotika
Stefano Soatto
MoMe
172
77
0
30 Mar 2022
Unseen Classes at a Later Time? No Problem
Unseen Classes at a Later Time? No ProblemComputer Vision and Pattern Recognition (CVPR), 2022
Hari Chandana Kuchibhotla
Sumitra S Malagi
Shivam Chandhok
V. Balasubramanian
CLL
219
12
0
30 Mar 2022
Energy-based Latent Aligner for Incremental Learning
Energy-based Latent Aligner for Incremental LearningComputer Vision and Pattern Recognition (CVPR), 2022
K. J. Joseph
Salman Khan
Fahad Shahbaz Khan
Rao Muhammad Anwer
V. Balasubramanian
CLL
286
55
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
118
4
0
28 Mar 2022
Uncertainty-aware Contrastive Distillation for Incremental Semantic
  Segmentation
Uncertainty-aware Contrastive Distillation for Incremental Semantic SegmentationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Guanglei Yang
Enrico Fini
Dan Xu
Paolo Rota
Mingli Ding
Moin Nabi
Xavier Alameda-Pineda
Elisa Ricci
CLL
260
80
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
344
38
0
24 Mar 2022
Continual Learning and Private Unlearning
Continual Learning and Private Unlearning
B. Liu
Qian Liu
Peter Stone
CLLMU
238
104
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 VideoIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022
S. Taguchi
Noriaki Hirose
SSLMDE
161
1
0
24 Mar 2022
Meta-attention for ViT-backed Continual Learning
Meta-attention for ViT-backed Continual LearningComputer Vision and Pattern Recognition (CVPR), 2022
Mengqi Xue
Haofei Zhang
Mingli Song
Weilong Dai
CLL
153
58
0
22 Mar 2022
Continual Sequence Generation with Adaptive Compositional Modules
Continual Sequence Generation with Adaptive Compositional ModulesAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Yanzhe Zhang
Xuezhi Wang
Diyi Yang
KELMCLL
220
48
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
240
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
168
24
0
17 Mar 2022
A Continual Learning Framework for Adaptive Defect Classification and
  Inspection
A Continual Learning Framework for Adaptive Defect Classification and InspectionJournal of QualityTechnology (JQT), 2022
Wenbo Sun
Raed Al Kontar
Judy Jin
Tzyy-Shuh Chang
128
11
0
16 Mar 2022
RBC: Rectifying the Biased Context in Continual Semantic Segmentation
RBC: Rectifying the Biased Context in Continual Semantic SegmentationEuropean Conference on Computer Vision (ECCV), 2022
Hanbin Zhao
Fengyu Yang
Xinghe Fu
Xi Li
CLL
238
38
0
16 Mar 2022
Continual Prompt Tuning for Dialog State Tracking
Continual Prompt Tuning for Dialog State TrackingAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Qi Zhu
Bing Li
Fei Mi
Xiaoyan Zhu
Shiyu Huang
CLLKELM
245
67
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
227
20
0
12 Mar 2022
Deep Class Incremental Learning from Decentralized Data
Deep Class Incremental Learning from Decentralized DataIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Xiaohan Zhang
Songlin Dong
Jinjie Chen
Qiaoling Tian
Yihong Gong
Xiaopeng Hong
CLL
184
12
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 RecognitionIEEE International Conference on Multimedia and Expo (ICME), 2022
Kaile Du
Fan Lyu
Fuyuan Hu
Linyan Li
Wei Feng
Fenglei Xu
Qiming Fu
CLL
200
21
0
10 Mar 2022
YONO: Modeling Multiple Heterogeneous Neural Networks on
  Microcontrollers
YONO: Modeling Multiple Heterogeneous Neural Networks on MicrocontrollersInternational Symposium on Information Processing in Sensor Networks (IPSN), 2022
Young D. Kwon
Jagmohan Chauhan
Cecilia Mascolo
164
15
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
268
16
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 HistoryIEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER), 2022
Sho Tokui
Susumu Tokumoto
Akihito Yoshii
Fuyuki Ishikawa
Takao Nakagawa
Kazuki Munakata
Shinji Kikuchi
KELM
184
32
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
186
3
0
14 Feb 2022
Incremental Learning of Structured Memory via Closed-Loop Transcription
Incremental Learning of Structured Memory via Closed-Loop TranscriptionInternational Conference on Learning Representations (ICLR), 2022
Shengbang Tong
Xili Dai
Ziyang Wu
Mingyang Li
Brent Yi
Yi-An Ma
CLL
292
22
0
11 Feb 2022
Continual Attentive Fusion for Incremental Learning in Semantic
  Segmentation
Continual Attentive Fusion for Incremental Learning in Semantic SegmentationIEEE transactions on multimedia (IEEE TMM), 2022
Guanglei Yang
Enrico Fini
Dan Xu
Paolo Rota
Mingli Ding
Hao Tang
Xavier Alameda-Pineda
Elisa Ricci
CLL
223
35
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
378
63
0
01 Feb 2022
Modeling the Background for Incremental and Weakly-Supervised Semantic
  Segmentation
Modeling the Background for Incremental and Weakly-Supervised Semantic SegmentationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Fabio Cermelli
Goran Frehse
Samuel Rota Buló
Elisa Ricci
Barbara Caputo
CLL
201
11
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
130
7
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
179
23
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
230
4
0
05 Jan 2022
Self-directed Machine Learning
Self-directed Machine LearningAI Open (AO), 2022
Wenwu Zhu
Xin Eric Wang
P. Xie
157
6
0
04 Jan 2022
Class-Incremental Continual Learning into the eXtended DER-verse
Class-Incremental Continual Learning into the eXtended DER-verseIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Matteo Boschini
Lorenzo Bonicelli
Pietro Buzzega
Angelo Porrello
Simone Calderara
CLLBDL
282
168
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 RelationshipIEEE transactions on multimedia (IEEE Trans. Multimedia), 2021
Quanziang Wang
Renzhen Wang
Yuexiang Li
Dong Wei
Kai Ma
Yefeng Zheng
Deyu Meng
CLL
234
17
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
252
48
0
30 Dec 2021
FRIDA -- Generative Feature Replay for Incremental Domain Adaptation
FRIDA -- Generative Feature Replay for Incremental Domain AdaptationComputer Vision and Image Understanding (CVIU), 2021
Sayan Rakshit
Anwesh Mohanty
Ruchika Chavhan
Biplab Banerjee
Gemma Roig
S. Chaudhuri
CLL
119
13
0
28 Dec 2021
Generative Kernel Continual learning
Generative Kernel Continual learning
Mohammad Mahdi Derakhshani
Xiantong Zhen
Ling Shao
Cees G. M. Snoek
BDLVLM
107
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 ReroutingIEEE International Conference on Tools with Artificial Intelligence (ICTAI), 2021
Minghai Qin
Tianyun Zhang
Fei Sun
Yen-kuang Chen
M. Fardad
Yanzhi Wang
Yuan Xie
242
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
213
34
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 TasksNeural Information Processing Systems (NeurIPS), 2021
Zixuan Ke
Bing-Quan Liu
Xingchang Huang
CLL
175
153
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
368
168
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
368
1,069
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
108
11
0
07 Dec 2021
Forward Compatible Training for Large-Scale Embedding Retrieval Systems
Forward Compatible Training for Large-Scale Embedding Retrieval SystemsComputer Vision and Pattern Recognition (CVPR), 2021
Vivek Ramanujan
Pavan Kumar Anasosalu Vasu
Ali Farhadi
Oncel Tuzel
Hadi Pouransari
VLM
190
25
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 TasksNorth American Chapter of the Association for Computational Linguistics (NAACL), 2021
Zixuan Ke
Hu Xu
Bing-Quan Liu
CLL
500
91
0
06 Dec 2021
Achieving Forgetting Prevention and Knowledge Transfer in Continual
  Learning
Achieving Forgetting Prevention and Knowledge Transfer in Continual LearningNeural Information Processing Systems (NeurIPS), 2021
Zixuan Ke
Bing-Quan Liu
Nianzu Ma
Hu Xu
Lei Shu
CLL
427
142
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
282
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 aheadInformation Fusion (Inf. Fusion), 2021
Marcos F. Criado
F. Casado
R. Iglesias
Carlos V. Regueiro
S. Barro
FedML
185
107
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
219
16
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
207
4
0
23 Nov 2021
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