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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
Enhanced Continual Learning of Vision-Language Models with Model Fusion
Enhanced Continual Learning of Vision-Language Models with Model Fusion
Haoyuan Gao
Zicong Zhang
Yuqi Wei
Linglan Zhao
Guilin Li
Yuezun Li
Linghe Kong
Weiran Huang
CLLVLM
383
0
0
12 Mar 2025
Lifelong Learning with Task-Specific Adaptation: Addressing the Stability-Plasticity Dilemma
Ruiyu Wang
Sen Wang
Wei Ji
Q. Sun
CLLKELM
100
0
0
08 Mar 2025
Mastering Continual Reinforcement Learning through Fine-Grained Sparse Network Allocation and Dormant Neuron Exploration
Chengqi Zheng
Haiyan Yin
Jianda Chen
Terence Ng
Yew-Soon Ong
Ivor Tsang
CLL
438
0
0
07 Mar 2025
Memory Efficient Continual Learning for Edge-Based Visual Anomaly Detection
Manuel Barusco
Lorenzo DÁntoni
Davide Dalle Pezze
Francesco Borsatti
Gian Antonio Susto
86
0
0
04 Mar 2025
STAR: Stability-Inducing Weight Perturbation for Continual Learning
Masih Eskandar
Tooba Imtiaz
Davin Hill
Zifeng Wang
Jennifer Dy
CLL
63
0
0
03 Mar 2025
Class-Independent Increment: An Efficient Approach for Multi-label Class-Incremental Learning
Songlin Dong
Yuhang He
Zhengdong Zhou
Haoyu Luo
Xing Wei
Alex C. Kot
Yihong Gong
CLL
115
2
0
01 Mar 2025
Efficient Prompting for Continual Adaptation to Missing Modalities
Zirun Guo
Shulei Wang
Wang Lin
Weicai Yan
Yangyang Wu
Tao Jin
CLLVLM
111
3
0
01 Mar 2025
Unsupervised Parameter Efficient Source-free Post-pretraining
Unsupervised Parameter Efficient Source-free Post-pretraining
Abhishek Jha
Tinne Tuytelaars
Yuki M. Asano
OOD
91
0
0
28 Feb 2025
PVBF: A Framework for Mitigating Parameter Variation Imbalance in Online Continual Learning
PVBF: A Framework for Mitigating Parameter Variation Imbalance in Online Continual Learning
Zelin Tao
Hao Deng
Mingqing Liu
Lijun Zhang
Shengjie Zhao
CLL
149
0
0
25 Feb 2025
Sequence Transferability and Task Order Selection in Continual Learning
T. Nguyen
Cuong N. Nguyen
Quang Pham
B. T. Nguyen
Savitha Ramasamy
Xiaoli Li
Cuong V Nguyen
130
0
0
10 Feb 2025
The impact of allocation strategies in subset learning on the expressive power of neural networks
Ofir Schlisselberg
Ran Darshan
125
0
0
10 Feb 2025
LSEBMCL: A Latent Space Energy-Based Model for Continual Learning
LSEBMCL: A Latent Space Energy-Based Model for Continual Learning
Xiaodi Li
Dingcheng Li
Rujun Gao
Mahmoud Zamani
Latifur Khan
CLLKELM
69
0
0
09 Jan 2025
Fresh-CL: Feature Realignment through Experts on Hypersphere in Continual Learning
Fresh-CL: Feature Realignment through Experts on Hypersphere in Continual Learning
Zhongyi Zhou
Chaomin Shen
Pin Yi
Minjie Zhu
Yaxin Peng
470
0
0
04 Jan 2025
Balanced Gradient Sample Retrieval for Enhanced Knowledge Retention in
  Proxy-based Continual Learning
Balanced Gradient Sample Retrieval for Enhanced Knowledge Retention in Proxy-based Continual Learning
Hongye Xu
Jan Wasilewski
Bartosz Krawczyk
CLL
195
0
0
19 Dec 2024
TinySubNets: An efficient and low capacity continual learning strategy
TinySubNets: An efficient and low capacity continual learning strategy
Marcin Pietroñ
Kamil Faber
Dominik Zurek
Roberto Corizzo
151
0
0
14 Dec 2024
Modality-Incremental Learning with Disjoint Relevance Mapping Networks
  for Image-based Semantic Segmentation
Modality-Incremental Learning with Disjoint Relevance Mapping Networks for Image-based Semantic Segmentation
Niharika Hegde
Shishir Muralidhara
René Schuster
Didier Stricker
CLL
118
1
0
26 Nov 2024
COBRA: A Continual Learning Approach to Vision-Brain Understanding
COBRA: A Continual Learning Approach to Vision-Brain Understanding
Xuan-Bac Nguyen
Arabinda Kumar Choudhary
Pawan Sinha
Xin Li
Khoa Luu
CLL
141
0
0
25 Nov 2024
Anti-Forgetting Adaptation for Unsupervised Person Re-identification
Anti-Forgetting Adaptation for Unsupervised Person Re-identification
Hao Chen
Francois Bremond
Nicu Sebe
Shiliang Zhang
CLL
249
1
0
22 Nov 2024
Continual Task Learning through Adaptive Policy Self-Composition
Shengchao Hu
Yuhang Zhou
Ziqing Fan
Jifeng Hu
Li Shen
Ya Zhang
Dacheng Tao
OffRL
125
0
0
18 Nov 2024
Stable Continual Reinforcement Learning via Diffusion-based Trajectory Replay
Feng Chen
Fuguang Han
Cong Guan
Lei Yuan
Zhilong Zhang
Yang Yu
Zongzhang Zhang
98
1
0
16 Nov 2024
FedRewind: Rewinding Continual Model Exchange for Decentralized
  Federated Learning
FedRewind: Rewinding Continual Model Exchange for Decentralized Federated Learning
Luca Palazzo
M. Pennisi
Federica Proietto Salanitri
Giovanni Bellitto
S. Palazzo
C. Spampinato
FedML
56
0
0
14 Nov 2024
Slowing Down Forgetting in Continual Learning
Slowing Down Forgetting in Continual Learning
Pascal Janetzky
Tobias Schlagenhauf
Stefan Feuerriegel
CLL
123
0
0
11 Nov 2024
CIT: Rethinking Class-incremental Semantic Segmentation with a Class
  Independent Transformation
CIT: Rethinking Class-incremental Semantic Segmentation with a Class Independent Transformation
Jinchao Ge
Bowen Zhang
Akide Liu
Minh Hieu Phan
Qi Chen
Yangyang Shu
Yang Zhao
VLMCLL
75
0
0
05 Nov 2024
Efficient Non-Exemplar Class-Incremental Learning with Retrospective
  Feature Synthesis
Efficient Non-Exemplar Class-Incremental Learning with Retrospective Feature Synthesis
Liang Bai
Hong Song
Yucong Lin
Tianyu Fu
Deqiang Xiao
Danni Ai
Jingfan Fan
Jian Yang
CLL
101
0
0
03 Nov 2024
Dual Low-Rank Adaptation for Continual Learning with Pre-Trained Models
Dual Low-Rank Adaptation for Continual Learning with Pre-Trained Models
Huancheng Chen
Jingtao Li
Nidham Gazagnadou
Weiming Zhuang
Chen Chen
Lingjuan Lyu
VLMCLL
158
2
0
01 Nov 2024
Incremental Learning of Retrievable Skills For Efficient Continual Task Adaptation
Incremental Learning of Retrievable Skills For Efficient Continual Task Adaptation
Daehee Lee
Minjong Yoo
Woo Kyung Kim
Wonje Choi
Honguk Woo
CLL
184
8
0
30 Oct 2024
Multi-Layer Gaussian Splatting for Immersive Anatomy Visualization
Multi-Layer Gaussian Splatting for Immersive Anatomy Visualization
Constantin Kleinbeck
Hannah Schieber
Klaus Engel
Ralf Gutjahr
Daniel Roth
3DGS
52
1
0
22 Oct 2024
Solving Continual Offline RL through Selective Weights Activation on
  Aligned Spaces
Solving Continual Offline RL through Selective Weights Activation on Aligned Spaces
Jifeng Hu
Sili Huang
Li Shen
Zhejian Yang
Shengchao Hu
Shisong Tang
Hechang Chen
Yi Chang
Dacheng Tao
Lichao Sun
OffRL
87
0
0
21 Oct 2024
Hybrid Memory Replay: Blending Real and Distilled Data for Class
  Incremental Learning
Hybrid Memory Replay: Blending Real and Distilled Data for Class Incremental Learning
Jiangtao Kong
Jiacheng Shi
Ashley Gao
Shaohan Hu
Dinesh Manocha
Huajie Shao
VLMDD
96
1
0
20 Oct 2024
Queryable Prototype Multiple Instance Learning with Vision-Language
  Models for Incremental Whole Slide Image Classification
Queryable Prototype Multiple Instance Learning with Vision-Language Models for Incremental Whole Slide Image Classification
Jiaxiang Gou
Luping Ji
Pei Liu
Mao Ye
VLM
64
0
0
14 Oct 2024
Continual Deep Reinforcement Learning to Prevent Catastrophic Forgetting
  in Jamming Mitigation
Continual Deep Reinforcement Learning to Prevent Catastrophic Forgetting in Jamming Mitigation
Kemal Davaslioglu
Sastry Kompella
T. Erpek
Y. Sagduyu
43
1
0
14 Oct 2024
Is Parameter Collision Hindering Continual Learning in LLMs?
Is Parameter Collision Hindering Continual Learning in LLMs?
Shuo Yang
Kun-Peng Ning
Yu-Yang Liu
Jia-Yu Yao
Yong-Hong Tian
Yi-Bing Song
Li Yuan
MoMeCLL
103
4
0
14 Oct 2024
More Experts Than Galaxies: Conditionally-overlapping Experts With Biologically-Inspired Fixed Routing
More Experts Than Galaxies: Conditionally-overlapping Experts With Biologically-Inspired Fixed Routing
Sagi Shaier
Francisco Pereira
Katharina von der Wense
Lawrence E Hunter
Matt Jones
MoE
120
0
0
10 Oct 2024
Continual Learning: Less Forgetting, More OOD Generalization via
  Adaptive Contrastive Replay
Continual Learning: Less Forgetting, More OOD Generalization via Adaptive Contrastive Replay
Hossein Rezaei
Mohammad Sabokrou
CLL
74
0
0
09 Oct 2024
Brain-inspired continual pre-trained learner via silent synaptic
  consolidation
Brain-inspired continual pre-trained learner via silent synaptic consolidation
Xuming Ran
Juntao Yao
Yusong Wang
Mingkun Xu
Dianbo Liu
AAMLCLL
53
0
0
08 Oct 2024
MIRACLE3D: Memory-efficient Integrated Robust Approach for Continual Learning on Point Clouds via Shape Model Construction
MIRACLE3D: Memory-efficient Integrated Robust Approach for Continual Learning on Point Clouds via Shape Model Construction
Hossein Resani
B. Nasihatkon
3DV
439
0
0
08 Oct 2024
Recent Advances of Multimodal Continual Learning: A Comprehensive Survey
Recent Advances of Multimodal Continual Learning: A Comprehensive Survey
Dianzhi Yu
Xinni Zhang
Yankai Chen
Aiwei Liu
Yifei Zhang
Philip S. Yu
Irwin King
VLMCLL
101
13
0
07 Oct 2024
OD-Stega: LLM-Based Near-Imperceptible Steganography via Optimized
  Distributions
OD-Stega: LLM-Based Near-Imperceptible Steganography via Optimized Distributions
Yu-Shin Huang
Peter Just
Krishna Narayanan
Chao Tian
132
7
0
06 Oct 2024
Continual Human Pose Estimation for Incremental Integration of Keypoints
  and Pose Variations
Continual Human Pose Estimation for Incremental Integration of Keypoints and Pose Variations
Muhammad Saif Ullah Khan
Muhammad Ahmed Ullah Khan
Muhammad Zeshan Afzal
Didier Stricker
CLL
88
1
0
30 Sep 2024
Learning Attentional Mixture of LoRAs for Language Model Continual
  Learning
Learning Attentional Mixture of LoRAs for Language Model Continual Learning
Jialin Liu
Jianhua Wu
Jie Liu
Yutai Duan
KELMCLLMoMe
43
2
0
29 Sep 2024
Forgetting, Ignorance or Myopia: Revisiting Key Challenges in Online
  Continual Learning
Forgetting, Ignorance or Myopia: Revisiting Key Challenges in Online Continual Learning
Xinrui Wang
Chuanxing Geng
Wenhai Wan
Shao-yuan Li
Songcan Chen
CLL
107
3
0
28 Sep 2024
Continual learning with task specialist
Continual learning with task specialist
Indu Solomon
Aye Phyu Phyu Aung
Uttam Kumar
Senthilnath Jayavelu
VLMCLL
68
0
0
26 Sep 2024
CRoP: Context-wise Robust Static Human-Sensing Personalization
CRoP: Context-wise Robust Static Human-Sensing Personalization
Sawinder Kaur
Avery Gump
Yi Xiao
Jingyu Xin
Harshit Sharma
Nina R Benway
Jonathan L Preston
Asif Salekin
173
0
0
26 Sep 2024
Drift to Remember
Drift to Remember
Jin Du
Xinsong Zhang
Hao Shen
Xun Xian
Ganghua Wang
Jiawei Zhang
Yuhong Yang
Na Li
Jia Liu
Jie Ding
CLL
53
0
0
21 Sep 2024
Reducing Catastrophic Forgetting in Online Class Incremental Learning
  Using Self-Distillation
Reducing Catastrophic Forgetting in Online Class Incremental Learning Using Self-Distillation
Kotaro Nagata
Hiromu Ono
Kazuhiro Hotta
CLL
39
0
0
17 Sep 2024
Anytime Continual Learning for Open Vocabulary Classification
Anytime Continual Learning for Open Vocabulary Classification
Zhen Zhu
Yiming Gong
Derek Hoiem
VLM
54
2
0
13 Sep 2024
Continual Learning in 3D Point Clouds: Employing Spectral Techniques for Exemplar Selection
Continual Learning in 3D Point Clouds: Employing Spectral Techniques for Exemplar Selection
Hossein Resani
B. Nasihatkon
Mohammadreza Alimoradi Jazi
3DPC
92
2
0
12 Sep 2024
Self-Masking Networks for Unsupervised Adaptation
Self-Masking Networks for Unsupervised Adaptation
Alfonso Taboada Warmerdam
Mathilde Caron
Yuki M. Asano
84
2
0
11 Sep 2024
Joint Input and Output Coordination for Class-Incremental Learning
Joint Input and Output Coordination for Class-Incremental Learning
Shuai Wang
Yibing Zhan
Yong Luo
Han Hu
Wei Yu
Yonggang Wen
Dacheng Tao
CLL
79
2
0
09 Sep 2024
SCARF: Scalable Continual Learning Framework for Memory-efficient
  Multiple Neural Radiance Fields
SCARF: Scalable Continual Learning Framework for Memory-efficient Multiple Neural Radiance Fields
Yuze Wang
Junyi Wang
Chen Wang
Wantong Duan
Yongtang Bao
Yue Qi
CLL
113
6
0
06 Sep 2024
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