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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
LW2G: Learning Whether to Grow for Prompt-based Continual Learning
LW2G: Learning Whether to Grow for Prompt-based Continual Learning
Qian Feng
Dawei Zhou
Hanbin Zhao
Chao Zhang
Jiahua Dong
Dengxin Dai
Hui Qian
VLMCLL
83
5
0
01 Jul 2025
The Condition Number as a Scale-Invariant Proxy for Information Encoding in Neural Units
The Condition Number as a Scale-Invariant Proxy for Information Encoding in Neural Units
Oswaldo Ludwig
15
0
0
19 Jun 2025
MEAL: A Benchmark for Continual Multi-Agent Reinforcement Learning
MEAL: A Benchmark for Continual Multi-Agent Reinforcement Learning
Tristan Tomilin
Luka van den Boogaard
Samuel Garcin
Bram Grooten
Meng Fang
Mykola Pechenizkiy
OffRL
15
0
0
17 Jun 2025
EKPC: Elastic Knowledge Preservation and Compensation for Class-Incremental Learning
EKPC: Elastic Knowledge Preservation and Compensation for Class-Incremental Learning
Huaijie Wang
De Cheng
Lingfeng He
Yan Li
Jie Li
Nannan Wang
X. Gao
CLL
32
0
0
14 Jun 2025
Dynamic Mixture of Curriculum LoRA Experts for Continual Multimodal Instruction Tuning
Dynamic Mixture of Curriculum LoRA Experts for Continual Multimodal Instruction Tuning
Chendi Ge
Xin Eric Wang
Zeyang Zhang
Hong Chen
Jiapei Fan
Longtao Huang
Hui Xue
Wenwu Zhu
MoECLL
49
0
0
13 Jun 2025
SHIELD: Secure Hypernetworks for Incremental Expansion Learning Defense
Patryk Krukowski
Łukasz Gorczyca
Piotr Helm
Kamil Ksiazek
Przemysław Spurek
AAMLCLL
32
0
0
09 Jun 2025
Dynamic Mixture of Progressive Parameter-Efficient Expert Library for Lifelong Robot Learning
Dynamic Mixture of Progressive Parameter-Efficient Expert Library for Lifelong Robot Learning
Yuheng Lei
Sitong Mao
Shunbo Zhou
Hongyuan Zhang
Xuelong Li
Ping Luo
CLL
46
0
0
06 Jun 2025
Action-Adaptive Continual Learning: Enabling Policy Generalization under Dynamic Action Spaces
Action-Adaptive Continual Learning: Enabling Policy Generalization under Dynamic Action Spaces
Chaofan Pan
Jiafen Liu
Yanhua Li
Linbo Xiong
Fan Min
Wei Wei
Xin Yang
CLL
50
0
0
06 Jun 2025
Collaborative Learning in Agentic Systems: A Collective AI is Greater Than the Sum of Its Parts
Collaborative Learning in Agentic Systems: A Collective AI is Greater Than the Sum of Its Parts
Saptarshi Nath
Christos Peridis
Eseoghene Benjamin
Xinran Liu
Soheil Kolouri
Peter Kinnell
Zexin Li
Cong Liu
Shirin Dora
Andrea Soltoggio
40
0
0
05 Jun 2025
Self-Composing Policies for Scalable Continual Reinforcement Learning
Self-Composing Policies for Scalable Continual Reinforcement Learning
Mikel Malagón
Josu Ceberio
Jose A. Lozano
CLL
37
5
0
04 Jun 2025
The Future of Continual Learning in the Era of Foundation Models: Three Key Directions
The Future of Continual Learning in the Era of Foundation Models: Three Key Directions
Jack Bell
Luigi Quarantiello
Eric Nuertey Coleman
Lanpei Li
Malio Li
Mauro Madeddu
Elia Piccoli
Vincenzo Lomonaco
KELM
41
0
0
03 Jun 2025
iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection
iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection
Huahui Yi
Wei Xu
Ziyuan Qin
Xi Chen
Xiaohu Wu
Kang Li
Qicheng Lao
VLM
29
0
0
31 May 2025
When Large Multimodal Models Confront Evolving Knowledge:Challenges and Pathways
When Large Multimodal Models Confront Evolving Knowledge:Challenges and Pathways
Kailin Jiang
Yuntao Du
Yukai Ding
Yuchen Ren
Ning Jiang
Zhi Gao
Zilong Zheng
Lei Liu
Bin Li
Qing Li
KELM
51
0
0
30 May 2025
Continual Learning Beyond Experience Rehearsal and Full Model Surrogates
Continual Learning Beyond Experience Rehearsal and Full Model Surrogates
Prashant Shivaram Bhat
Laurens Niesten
Elahe Arani
Bahram Zonooz
CLL
25
0
0
28 May 2025
Frugal Incremental Generative Modeling using Variational Autoencoders
Frugal Incremental Generative Modeling using Variational Autoencoders
Victor Enescu
Hichem Sahbi
CLL
65
0
0
28 May 2025
Query Drift Compensation: Enabling Compatibility in Continual Learning of Retrieval Embedding Models
Query Drift Compensation: Enabling Compatibility in Continual Learning of Retrieval Embedding Models
Dipam Goswami
Liying Wang
Bartłomiej Twardowski
Joost van de Weijer
35
0
0
27 May 2025
Learning without Isolation: Pathway Protection for Continual Learning
Learning without Isolation: Pathway Protection for Continual Learning
Zhikang Chen
Abudukelimu Wuerkaixi
Sen Cui
Haoxuan Li
D. Li
...
Houfang Liu
Yi Yang
Sifan Yang
Changshui Zhang
Tianling Ren
CLL
47
0
0
24 May 2025
Privacy-Aware Lifelong Learning
Privacy-Aware Lifelong Learning
Ozan Özdenizci
Elmar Rueckert
Robert Legenstein
CLLMUKELM
106
1
0
16 May 2025
Advancing Multiple Instance Learning with Continual Learning for Whole Slide Imaging
Advancing Multiple Instance Learning with Continual Learning for Whole Slide Imaging
Xianrui Li
Yufei Cui
Jun Li
Antoni B. Chan
CLLVLM
92
0
0
15 May 2025
Ranking-aware Continual Learning for LiDAR Place Recognition
Ranking-aware Continual Learning for LiDAR Place Recognition
Xufei Wang
Gengxuan Tian
Junqiao Zhao
Siyue Tao
Qiwen Gu
Qiankun Yu
Tiantian Feng
CLL
74
1
0
12 May 2025
Beyond CLIP Generalization: Against Forward&Backward Forgetting Adapter for Continual Learning of Vision-Language Models
Beyond CLIP Generalization: Against Forward&Backward Forgetting Adapter for Continual Learning of Vision-Language Models
Songlin Dong
Chenhao Ding
Jiangyang Li
Jizhou Han
Qiang Wang
Yuhang He
Yihong Gong
CLLVLM
131
0
0
12 May 2025
Combining Bayesian Inference and Reinforcement Learning for Agent Decision Making: A Review
Combining Bayesian Inference and Reinforcement Learning for Agent Decision Making: A Review
Chengmin Zhou
Ville Kyrki
Pasi Fränti
Laura Ruotsalainen
BDLAI4CE
121
0
0
12 May 2025
ReplayCAD: Generative Diffusion Replay for Continual Anomaly Detection
ReplayCAD: Generative Diffusion Replay for Continual Anomaly Detection
Lei Hu
Zhiyong Gan
Ling Deng
Jinglin Liang
Lingyu Liang
Shuangping Huang
Tianshui Chen
DiffM
78
0
0
10 May 2025
SEFE: Superficial and Essential Forgetting Eliminator for Multimodal Continual Instruction Tuning
SEFE: Superficial and Essential Forgetting Eliminator for Multimodal Continual Instruction Tuning
Jinpeng Chen
Runmin Cong
Yuzhi Zhao
Hongzheng Yang
Guangneng Hu
H. Ip
Sam Kwong
CLLKELM
135
2
0
05 May 2025
Personalized Artificial General Intelligence (AGI) via Neuroscience-Inspired Continuous Learning Systems
Personalized Artificial General Intelligence (AGI) via Neuroscience-Inspired Continuous Learning Systems
Rajeev Gupta
Suhani Gupta
Ronak Parikh
Divya Gupta
Amir Javaheri
Jairaj Singh Shaktawat
AI4CE
38
0
0
27 Apr 2025
POET: Prompt Offset Tuning for Continual Human Action Adaptation
POET: Prompt Offset Tuning for Continual Human Action Adaptation
Prachi Garg
Joseph K J
V. Balasubramanian
Necati Cihan Camgöz
Chengde Wan
Kenrick Kin
Weiguang Si
Shugao Ma
Fernando de la Torre
137
0
0
25 Apr 2025
Dynamic Time-aware Continual User Representation Learning
Dynamic Time-aware Continual User Representation Learning
Seungyoon Choi
Sein Kim
Hongseok Kang
Wonjoong Kim
Chanyoung Park
CLL
103
0
0
23 Apr 2025
SPECI: Skill Prompts based Hierarchical Continual Imitation Learning for Robot Manipulation
SPECI: Skill Prompts based Hierarchical Continual Imitation Learning for Robot Manipulation
Jingkai Xu
Xiangli Nie
73
0
0
22 Apr 2025
Parameter-Efficient Continual Fine-Tuning: A Survey
Parameter-Efficient Continual Fine-Tuning: A Survey
Eric Nuertey Coleman
Luigi Quarantiello
Ziyue Liu
Qinwen Yang
Samrat Mukherjee
J. Hurtado
Vincenzo Lomonaco
CLL
90
0
0
18 Apr 2025
CSMF: Cascaded Selective Mask Fine-Tuning for Multi-Objective Embedding-Based Retrieval
CSMF: Cascaded Selective Mask Fine-Tuning for Multi-Objective Embedding-Based Retrieval
Hao Deng
Haibo Xing
Kanefumi Matsuyama
Moyu Zhang
Jinxin Hu
Hong Wen
Yu Zhang
Xiaoyi Zeng
Jing-Xuan Zhang
75
0
0
17 Apr 2025
Boosting-inspired online learning with transfer for railway maintenance
Boosting-inspired online learning with transfer for railway maintenance
Diogo Risca
Afonso Lourenço
Goreti Marreiros
71
0
0
11 Apr 2025
LoRI: Reducing Cross-Task Interference in Multi-Task Low-Rank Adaptation
LoRI: Reducing Cross-Task Interference in Multi-Task Low-Rank Adaptation
Juzheng Zhang
Jiacheng You
Ashwinee Panda
Tom Goldstein
MoMe
111
4
0
10 Apr 2025
DUKAE: DUal-level Knowledge Accumulation and Ensemble for Pre-Trained Model-Based Continual Learning
DUKAE: DUal-level Knowledge Accumulation and Ensemble for Pre-Trained Model-Based Continual Learning
Songze Li
Tonghua Su
Xu-Yao Zhang
Qixing Xu
Zhongjie Wang
CLL
174
0
0
09 Apr 2025
Neuron-level Balance between Stability and Plasticity in Deep Reinforcement Learning
Neuron-level Balance between Stability and Plasticity in Deep Reinforcement Learning
Jiahua Lan
Sen Zhang
Haixia Pan
Ruijun Liu
Li Shen
Dacheng Tao
CLL
91
0
0
09 Apr 2025
Sculpting Subspaces: Constrained Full Fine-Tuning in LLMs for Continual Learning
Sculpting Subspaces: Constrained Full Fine-Tuning in LLMs for Continual Learning
Nikhil Shivakumar Nayak
Krishnateja Killamsetty
Ligong Han
Abhishek Bhandwaldar
Prateek Chanda
...
Hao Wang
Aldo Pareja
Oleg Silkin
Mustafa Eyceoz
Akash Srivastava
CLL
86
0
0
09 Apr 2025
SparsyFed: Sparse Adaptive Federated Training
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Lorenzo Sani
Alex Iacob
Alessio Mora
Paolo Bellavista
Nicholas D. Lane
FedML
171
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0
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Efficient Model Editing with Task-Localized Sparse Fine-tuning
Efficient Model Editing with Task-Localized Sparse Fine-tuning
Leonardo Iurada
Marco Ciccone
Tatiana Tommasi
KELMMoMe
152
3
0
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BECAME: BayEsian Continual Learning with Adaptive Model MErging
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Mei Li
Yuxiang Lu
Qinyan Dai
Suizhi Huang
Yue Ding
Hongtao Lu
CLLMoMe
126
0
0
03 Apr 2025
MetaCLBench: Meta Continual Learning Benchmark on Resource-Constrained Edge Devices
MetaCLBench: Meta Continual Learning Benchmark on Resource-Constrained Edge Devices
Sijia Li
Young D. Kwon
Lik-Hang Lee
Pan Hui
94
0
0
31 Mar 2025
Language Guided Concept Bottleneck Models for Interpretable Continual Learning
Language Guided Concept Bottleneck Models for Interpretable Continual Learning
Lu Yu
Haoyu Han
Zhe Tao
Hantao Yao
Changsheng Xu
CLL
122
1
0
30 Mar 2025
VLM-C4L: Continual Core Dataset Learning with Corner Case Optimization via Vision-Language Models for Autonomous Driving
VLM-C4L: Continual Core Dataset Learning with Corner Case Optimization via Vision-Language Models for Autonomous Driving
Haibo Hu
Jiacheng Zuo
Yang Lou
Yufei Cui
Jianping Wang
Nan Guan
Jin Wang
Yung-Hui Li
Chun Jason Xue
VLM
122
1
0
29 Mar 2025
Stochastic Engrams for Efficient Continual Learning with Binarized Neural Networks
Stochastic Engrams for Efficient Continual Learning with Binarized Neural Networks
Isabelle Aguilar
Luis Fernando Herbozo Contreras
Omid Kavehei
118
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27 Mar 2025
Learn by Reasoning: Analogical Weight Generation for Few-Shot Class-Incremental Learning
Learn by Reasoning: Analogical Weight Generation for Few-Shot Class-Incremental Learning
Jizhou Han
Chenhao Ding
Yuhang He
Songlin Dong
Qiang Wang
Xinyuan Gao
Yihong Gong
CLL
105
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0
27 Mar 2025
Ancestral Mamba: Enhancing Selective Discriminant Space Model with Online Visual Prototype Learning for Efficient and Robust Discriminant Approach
Ancestral Mamba: Enhancing Selective Discriminant Space Model with Online Visual Prototype Learning for Efficient and Robust Discriminant Approach
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Feng Liu
Lu Zong
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108
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Adaptive Weighted Parameter Fusion with CLIP for Class-Incremental Learning
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Jiaxin Guo
Xiaoguang Zhu
Liangyu Teng
Hao Yang
Qingbin Liu
Yi Liu
Liang Song
CLLVLM
122
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LoRASculpt: Sculpting LoRA for Harmonizing General and Specialized Knowledge in Multimodal Large Language Models
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Wenke Huang
Guancheng Wan
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Mang Ye
MoMeCLLAI4CE
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Restoring Forgotten Knowledge in Non-Exemplar Class Incremental Learning through Test-Time Semantic Evolution
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UniCon: Unidirectional Information Flow for Effective Control of Large-Scale Diffusion Models
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106
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FeNeC: Enhancing Continual Learning via Feature Clustering with Neighbor- or Logit-Based Classification
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245
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Hyoungseob Park
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CLLMDE
134
1
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