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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
Buffer-based Gradient Projection for Continual Federated Learning
Buffer-based Gradient Projection for Continual Federated Learning
Shenghong Dai
Jy-yong Sohn
Yicong Chen
S. Alam
Ravikumar Balakrishnan
Suman Banerjee
N. Himayat
Kangwook Lee
FedML
97
2
0
03 Sep 2024
Towards General Industrial Intelligence: A Survey on IIoT-Enhanced
  Continual Large Models
Towards General Industrial Intelligence: A Survey on IIoT-Enhanced Continual Large Models
Jiao Chen
Jiayi He
Fangfang Chen
Zuohong Lv
Jianhua Tang
Weihua Li
Zuozhu Liu
Howard H. Yang
Guangjie Han
AI4CE
82
1
0
02 Sep 2024
Diffusion-Driven Data Replay: A Novel Approach to Combat Forgetting in
  Federated Class Continual Learning
Diffusion-Driven Data Replay: A Novel Approach to Combat Forgetting in Federated Class Continual Learning
Jinglin Liang
Jin Zhong
Hanlin Gu
Zhongqi Lu
Xingxing Tang
Gang Dai
Shuangping Huang
Lixin Fan
Qiang Yang
DiffM
110
9
0
02 Sep 2024
Incremental Open-set Domain Adaptation
Incremental Open-set Domain Adaptation
Sayan Rakshit
Hmrishav Bandyopadhyay
Nibaran Das
Biplab Banerjee
CLL
69
1
0
31 Aug 2024
Anno-incomplete Multi-dataset Detection
Anno-incomplete Multi-dataset Detection
Yiran Xu
Haoxiang Zhong
Kai Wu
Jialin Li
Yong Liu
Chengjie Wang
Shu-Tao Xia
Hongen Liao
ObjD
73
0
0
29 Aug 2024
Prior-free Balanced Replay: Uncertainty-guided Reservoir Sampling for
  Long-Tailed Continual Learning
Prior-free Balanced Replay: Uncertainty-guided Reservoir Sampling for Long-Tailed Continual Learning
Lei Liu
Li Liu
Yawen Cui
CLL
57
0
0
27 Aug 2024
Mitigating the Stability-Plasticity Dilemma in Adaptive Train Scheduling with Curriculum-Driven Continual DQN Expansion
Mitigating the Stability-Plasticity Dilemma in Adaptive Train Scheduling with Curriculum-Driven Continual DQN Expansion
Achref Jaziri
Etienne Kunzel
Visvanathan Ramesh
CLL
106
0
0
19 Aug 2024
SRTFD: Scalable Real-Time Fault Diagnosis through Online Continual
  Learning
SRTFD: Scalable Real-Time Fault Diagnosis through Online Continual Learning
Dandan Zhao
Karthick Sharma
Hongpeng Yin
Yuxin Qi
Shuhao Zhang
AI4CE
75
0
0
11 Aug 2024
SR-CIS: Self-Reflective Incremental System with Decoupled Memory and
  Reasoning
SR-CIS: Self-Reflective Incremental System with Decoupled Memory and Reasoning
Biqing Qi
Junqi Gao
Xinquan Chen
Dong Li
Weinan Zhang
Bowen Zhou
CLL
65
1
0
04 Aug 2024
Towards Generalizable Reinforcement Learning via Causality-Guided Self-Adaptive Representations
Yupei Yang
Erdun Gao
Fan Feng
Xinyue Wang
Shikui Tu
Lei Xu
CMLOODTTA
108
1
0
30 Jul 2024
EverAdapt: Continuous Adaptation for Dynamic Machine Fault Diagnosis
  Environments
EverAdapt: Continuous Adaptation for Dynamic Machine Fault Diagnosis Environments
Edward
Mohamed Ragab
Yuecong Xu
Min-man Wu
Yuecong Xu
Zhenghua Chen
Abdulla Alseiari
Xiaoli Li
68
2
0
24 Jul 2024
Local vs Global continual learning
Local vs Global continual learning
Giulia Lanzillotta
Sidak Pal Singh
Benjamin Grewe
Thomas Hofmann
CLL
83
0
0
23 Jul 2024
Strike a Balance in Continual Panoptic Segmentation
Strike a Balance in Continual Panoptic Segmentation
Jinpeng Chen
Runmin Cong
Yuxuan Luo
H. Ip
Sam Kwong
108
4
0
23 Jul 2024
CLIP with Generative Latent Replay: a Strong Baseline for Incremental
  Learning
CLIP with Generative Latent Replay: a Strong Baseline for Incremental Learning
Emanuele Frascaroli
Aniello Panariello
Pietro Buzzega
Lorenzo Bonicelli
Angelo Porrello
Simone Calderara
VLMCLL
81
6
0
22 Jul 2024
Flatness-aware Sequential Learning Generates Resilient Backdoors
Flatness-aware Sequential Learning Generates Resilient Backdoors
Hoang Pham
The-Anh Ta
Anh Tran
Khoa D. Doan
FedMLAAML
76
1
0
20 Jul 2024
Adaptive Cascading Network for Continual Test-Time Adaptation
Adaptive Cascading Network for Continual Test-Time Adaptation
Kien X. Nguyen
Fengchun Qiao
Xi Peng
TTACLLVLM
76
1
0
17 Jul 2024
CroMo-Mixup: Augmenting Cross-Model Representations for Continual
  Self-Supervised Learning
CroMo-Mixup: Augmenting Cross-Model Representations for Continual Self-Supervised Learning
Erum Mushtaq
D. Yaldiz
Yavuz Faruk Bakman
Jie Ding
Chenyang Tao
Dimitrios Dimitriadis
A. Avestimehr
CLL
90
1
0
16 Jul 2024
Mitigating Background Shift in Class-Incremental Semantic Segmentation
Mitigating Background Shift in Class-Incremental Semantic Segmentation
Gilhan Park
WonJun Moon
Subeen Lee
Tae-Young Kim
Jae-Pil Heo
CLLVLM
97
3
0
16 Jul 2024
Bridge Past and Future: Overcoming Information Asymmetry in Incremental
  Object Detection
Bridge Past and Future: Overcoming Information Asymmetry in Incremental Object Detection
Qijie Mo
Yipeng Gao
Shenghao Fu
Junkai Yan
Ancong Wu
Wei-Shi Zheng
CLL
93
7
0
16 Jul 2024
Overcoming Catastrophic Forgetting in Federated Class-Incremental
  Learning via Federated Global Twin Generator
Overcoming Catastrophic Forgetting in Federated Class-Incremental Learning via Federated Global Twin Generator
Thinh Nguyen
Khoa D. Doan
Binh T. Nguyen
Danh Le-Phuoc
Kok-Seng Wong
FedML
77
0
0
13 Jul 2024
Cs2K: Class-specific and Class-shared Knowledge Guidance for Incremental
  Semantic Segmentation
Cs2K: Class-specific and Class-shared Knowledge Guidance for Incremental Semantic Segmentation
Wei Cong
Yang Cong
Yuyang Liu
Gan Sun
VLMCLL
79
3
0
12 Jul 2024
BiasPruner: Debiased Continual Learning for Medical Image Classification
BiasPruner: Debiased Continual Learning for Medical Image Classification
Nourhan Bayasi
Jamil Fayyad
Alceu Bissoto
Ghassan Hamarneh
Rafeef Garbi
CLL
78
4
0
11 Jul 2024
Exemplar-free Continual Representation Learning via Learnable Drift
  Compensation
Exemplar-free Continual Representation Learning via Learnable Drift Compensation
Alex Gomez-Villa
Dipam Goswami
Kai Wang
Andrew D. Bagdanov
Bartlomiej Twardowski
Joost van de Weijer
CLLSSL
79
11
0
11 Jul 2024
CLEO: Continual Learning of Evolving Ontologies
CLEO: Continual Learning of Evolving Ontologies
Shishir Muralidhara
Saqib Bukhari
Georg Schneider
Didier Stricker
René Schuster
CLL
77
1
0
11 Jul 2024
How to Leverage Predictive Uncertainty Estimates for Reducing
  Catastrophic Forgetting in Online Continual Learning
How to Leverage Predictive Uncertainty Estimates for Reducing Catastrophic Forgetting in Online Continual Learning
Giuseppe Serra
Ben Werner
Florian Buettner
90
2
0
10 Jul 2024
CrowdTransfer: Enabling Crowd Knowledge Transfer in AIoT Community
CrowdTransfer: Enabling Crowd Knowledge Transfer in AIoT Community
Yan Liu
Bin Guo
Nuo Li
Yasan Ding
Zhouyangzi Zhang
Zhiwen Yu
138
1
0
09 Jul 2024
Mind the Interference: Retaining Pre-trained Knowledge in Parameter
  Efficient Continual Learning of Vision-Language Models
Mind the Interference: Retaining Pre-trained Knowledge in Parameter Efficient Continual Learning of Vision-Language Models
Longxiang Tang
Zhuotao Tian
Kai Li
Chunming He
Hantao Zhou
Hengshuang Zhao
Xiu Li
Jiaya Jia
CLLVLM
105
24
0
07 Jul 2024
PECTP: Parameter-Efficient Cross-Task Prompts for Incremental Vision
  Transformer
PECTP: Parameter-Efficient Cross-Task Prompts for Incremental Vision Transformer
Qian Feng
Hanbin Zhao
Chao Zhang
Jiahua Dong
Henghui Ding
Yu-Gang Jiang
Hui Qian
VLM
71
5
0
04 Jul 2024
TEAL: New Selection Strategy for Small Buffers in Experience Replay
  Class Incremental Learning
TEAL: New Selection Strategy for Small Buffers in Experience Replay Class Incremental Learning
Shahar Shaul-Ariel
D. Weinshall
VLM
79
0
0
30 Jun 2024
MoE-CT: A Novel Approach For Large Language Models Training With
  Resistance To Catastrophic Forgetting
MoE-CT: A Novel Approach For Large Language Models Training With Resistance To Catastrophic Forgetting
Tianhao Li
Shangjie Li
Binbin Xie
Deyi Xiong
Baosong Yang
CLL
120
4
0
25 Jun 2024
Forget but Recall: Incremental Latent Rectification in Continual
  Learning
Forget but Recall: Incremental Latent Rectification in Continual Learning
Nghia D. Nguyen
Hieu Trung Nguyen
Ang Li
H. Pham
Viet Anh Nguyen
Khoa D. Doan
CLL
90
0
0
25 Jun 2024
Continual Learning with Diffusion-based Generative Replay for Industrial
  Streaming Data
Continual Learning with Diffusion-based Generative Replay for Industrial Streaming Data
Jiayi He
Jiao Chen
Qianmiao Liu
Suyan Dai
Jianhua Tang
Dongpo Liu
DiffMAI4CE
83
4
0
22 Jun 2024
Finding Task-specific Subnetworks in Multi-task Spoken Language
  Understanding Model
Finding Task-specific Subnetworks in Multi-task Spoken Language Understanding Model
Hayato Futami
Siddhant Arora
Yosuke Kashiwagi
E. Tsunoo
Shinji Watanabe
86
1
0
18 Jun 2024
Reflecting on the State of Rehearsal-free Continual Learning with
  Pretrained Models
Reflecting on the State of Rehearsal-free Continual Learning with Pretrained Models
Lukas Thede
Karsten Roth
Olivier J. Hénaff
Matthias Bethge
Zeynep Akata
CLL
86
5
0
13 Jun 2024
Step Out and Seek Around: On Warm-Start Training with Incremental Data
Step Out and Seek Around: On Warm-Start Training with Incremental Data
Maying Shen
Hongxu Yin
Pavlo Molchanov
Lei Mao
Jose M. Alvarez
CLL
99
1
0
06 Jun 2024
Choice of PEFT Technique in Continual Learning: Prompt Tuning is Not All
  You Need
Choice of PEFT Technique in Continual Learning: Prompt Tuning is Not All You Need
Martin Wistuba
Prabhu Teja Sivaprasad
Lukas Balles
Giovanni Zappella
77
1
0
05 Jun 2024
Continual Traffic Forecasting via Mixture of Experts
Continual Traffic Forecasting via Mixture of Experts
Sanghyun Lee
Chanyoung Park
CLL
88
4
0
05 Jun 2024
Parameterizing Federated Continual Learning for Reproducible Research
Parameterizing Federated Continual Learning for Reproducible Research
Bart Cox
Jeroen Galjaard
Aditya Shankar
Jérémie Decouchant
Lydia Y. Chen
FedML
90
0
0
04 Jun 2024
Distribution Aligned Semantics Adaption for Lifelong Person Re-Identification
Distribution Aligned Semantics Adaption for Lifelong Person Re-Identification
Qizao Wang
Xuelin Qian
Bin Li
Xiangyang Xue
100
1
0
30 May 2024
Lifelong Learning Using a Dynamically Growing Tree of Sub-networks for
  Domain Generalization in Video Object Segmentation
Lifelong Learning Using a Dynamically Growing Tree of Sub-networks for Domain Generalization in Video Object Segmentation
Islam I. Osman
Mohamed S. Shehata
132
0
0
29 May 2024
Federated Continual Learning Goes Online: Leveraging Uncertainty for
  Modality-Agnostic Class-Incremental Learning
Federated Continual Learning Goes Online: Leveraging Uncertainty for Modality-Agnostic Class-Incremental Learning
Giuseppe Serra
Florian Buettner
CLLFedML
98
0
0
29 May 2024
MLAE: Masked LoRA Experts for Parameter-Efficient Fine-Tuning
MLAE: Masked LoRA Experts for Parameter-Efficient Fine-Tuning
Junjie Wang
Guangjing Yang
Wentao Chen
Huahui Yi
Xiaohu Wu
Qicheng Lao
MoEALM
82
0
0
29 May 2024
Improving Data-aware and Parameter-aware Robustness for Continual
  Learning
Improving Data-aware and Parameter-aware Robustness for Continual Learning
Hanxi Xiao
Fan Lyu
CLL
71
0
0
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MonoDETRNext: Next-generation Accurate and Efficient Monocular 3D Object
  Detection Method
MonoDETRNext: Next-generation Accurate and Efficient Monocular 3D Object Detection Method
Pan Liao
Feng Yang
Di Wu
Liu Bo
56
1
0
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U-TELL: Unsupervised Task Expert Lifelong Learning
U-TELL: Unsupervised Task Expert Lifelong Learning
Indu Solomon
Aye Phyu Phyu Aung
Uttam Kumar
Senthilnath Jayavelu
CLL
62
1
0
23 May 2024
Mitigating Interference in the Knowledge Continuum through
  Attention-Guided Incremental Learning
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Prashant Shivaram Bhat
Bharath Renjith
Elahe Arani
Bahram Zonooz
CLL
73
2
0
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Task agnostic continual learning with Pairwise layer architecture
Task agnostic continual learning with Pairwise layer architecture
Santtu Keskinen
CLL
67
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A Methodology-Oriented Study of Catastrophic Forgetting in Incremental
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Ashutosh Kumar
Sonali Agarwal
D. J. Hemanth
72
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Non-stationary Domain Generalization: Theory and Algorithm
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Continual Learning in the Presence of Repetition
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...
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