ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1711.05769
  4. Cited By
PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning

PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning

15 November 2017
Arun Mallya
Svetlana Lazebnik
    CLL
ArXivPDFHTML

Papers citing "PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning"

50 / 734 papers shown
Title
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
31
0
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
CLL
VLM
40
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
BDL
AI4CE
42
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
31
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
CLL
KELM
83
0
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
19
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
69
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
52
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
35
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
29
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
36
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
26
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
53
1
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
38
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
55
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
28
0
0
09 Apr 2025
SparsyFed: Sparse Adaptive Federated Training
SparsyFed: Sparse Adaptive Federated Training
Adriano Guastella
Lorenzo Sani
Alex Iacob
Alessio Mora
Paolo Bellavista
Nicholas D. Lane
FedML
31
0
0
07 Apr 2025
Efficient Model Editing with Task-Localized Sparse Fine-tuning
Efficient Model Editing with Task-Localized Sparse Fine-tuning
Leonardo Iurada
Marco Ciccone
Tatiana Tommasi
KELM
MoMe
56
2
0
03 Apr 2025
BECAME: BayEsian Continual Learning with Adaptive Model MErging
BECAME: BayEsian Continual Learning with Adaptive Model MErging
Mei Li
Yuxiang Lu
Qinyan Dai
Suizhi Huang
Yue Ding
Hongtao Lu
CLL
MoMe
49
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
36
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
60
0
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
55
1
0
29 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
54
0
0
27 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
66
0
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
Jiahao Qin
Feng Liu
Lu Zong
Mamba
40
0
0
26 Mar 2025
Adaptive Weighted Parameter Fusion with CLIP for Class-Incremental Learning
Adaptive Weighted Parameter Fusion with CLIP for Class-Incremental Learning
J. Guo
Xiaoguang Zhu
Liangyu Teng
Hao Yang
Jiaheng Liu
Yi Liu
Liang Song
CLL
VLM
72
1
0
25 Mar 2025
LoRASculpt: Sculpting LoRA for Harmonizing General and Specialized Knowledge in Multimodal Large Language Models
LoRASculpt: Sculpting LoRA for Harmonizing General and Specialized Knowledge in Multimodal Large Language Models
Jian Liang
Wenke Huang
Guancheng Wan
Qu Yang
Mang Ye
MoMe
CLL
AI4CE
62
1
0
21 Mar 2025
UniCon: Unidirectional Information Flow for Effective Control of Large-Scale Diffusion Models
UniCon: Unidirectional Information Flow for Effective Control of Large-Scale Diffusion Models
Fanghua Yu
Jinjin Gu
Jinfan Hu
Zheyuan Li
Chao Dong
DiffM
55
0
0
21 Mar 2025
Restoring Forgotten Knowledge in Non-Exemplar Class Incremental Learning through Test-Time Semantic Evolution
Restoring Forgotten Knowledge in Non-Exemplar Class Incremental Learning through Test-Time Semantic Evolution
Haori Lu
Xusheng Cao
Linlan Huang
Enguang Wang
Fei Yang
Xialei Liu
CLL
47
0
0
21 Mar 2025
FeNeC: Enhancing Continual Learning via Feature Clustering with Neighbor- or Logit-Based Classification
FeNeC: Enhancing Continual Learning via Feature Clustering with Neighbor- or Logit-Based Classification
Kamil Książek
Hubert Jastrzębski
Bartosz Trojan
Krzysztof Pniaczek
Michał Karp
Jacek Tabor
CLL
79
0
0
18 Mar 2025
ProtoDepth: Unsupervised Continual Depth Completion with Prototypes
ProtoDepth: Unsupervised Continual Depth Completion with Prototypes
Patrick Rim
Hyoungseob Park
Suchisrit Gangopadhyay
Ziyao Zeng
Younjoon Chung
Alex Wong
CLL
MDE
69
1
0
17 Mar 2025
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
Yuan Li
Linghe Kong
Weiran Huang
CLL
VLM
182
0
0
12 Mar 2025
Lifelong Learning with Task-Specific Adaptation: Addressing the Stability-Plasticity Dilemma
Ruiyu Wang
Sen Wang
Wei Ji
Q. Sun
CLL
KELM
65
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
163
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
58
0
0
04 Mar 2025
STAR: Stability-Inducing Weight Perturbation for Continual Learning
Masih Eskandar
Tooba Imtiaz
Davin Hill
Zifeng Wang
Jennifer Dy
CLL
36
0
0
03 Mar 2025
Efficient Prompting for Continual Adaptation to Missing Modalities
Zirun Guo
Shulei Wang
Wang Lin
Weicai Yan
Yangyang Wu
Tao Jin
CLL
VLM
66
2
0
01 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
41
1
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
45
0
0
28 Feb 2025
Efficient Reinforcement Learning by Guiding Generalist World Models with Non-Curated Data
Efficient Reinforcement Learning by Guiding Generalist World Models with Non-Curated Data
Yi Zhao
Aidan Scannell
Wenshuai Zhao
Yuxin Hou
Tianyu Cui
Le Chen
Dieter Büchler
Arno Solin
Juho Kannala
Joni Pajarinen
OffRL
OnRL
96
1
0
26 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
70
0
0
25 Feb 2025
The impact of allocation strategies in subset learning on the expressive power of neural networks
Ofir Schlisselberg
Ran Darshan
93
0
0
10 Feb 2025
Sequence Transferability and Task Order Selection in Continual Learning
T. Nguyen
Cuong N. Nguyen
Quang-Cuong Pham
B. T. Nguyen
Savitha Ramasamy
Xiaoli Li
Cuong V Nguyen
80
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
CLL
KELM
49
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
Yaxin Peng
Pin Yi
Minjie Zhu
Chaomin Shen
151
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
89
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
80
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
78
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
76
0
0
25 Nov 2024
Anti-Forgetting Adaptation for Unsupervised Person Re-identification
Anti-Forgetting Adaptation for Unsupervised Person Re-identification
Hao Chen
F. Brémond
Nicu Sebe
Shiliang Zhang
CLL
107
1
0
22 Nov 2024
1234...131415
Next