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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
Continual Task Learning through Adaptive Policy Self-Composition
Shengchao Hu
Yuhang Zhou
Ziqing Fan
Jifeng Hu
Li Shen
Ya Zhang
Dacheng Tao
OffRL
74
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
25
0
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
26
0
0
14 Nov 2024
Slowing Down Forgetting in Continual Learning
Slowing Down Forgetting in Continual Learning
Pascal Janetzky
Tobias Schlagenhauf
Stefan Feuerriegel
CLL
34
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
VLM
CLL
32
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
38
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
VLM
CLL
47
1
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
96
3
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
30
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
H. Chen
Yi-Ju Chang
Dacheng Tao
Lichao Sun
OffRL
39
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
VLM
DD
44
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
35
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
16
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
MoMe
CLL
24
3
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
K. Wense
Lawrence E Hunter
Matt Jones
MoE
46
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
31
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
AAML
CLL
25
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
145
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
VLM
CLL
44
9
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
37
4
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
33
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
KELM
CLL
MoMe
27
1
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
39
2
0
28 Sep 2024
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
Hui Qian
VLM
CLL
37
3
0
27 Sep 2024
Continual learning with task specialist
Continual learning with task specialist
Indu Solomon
Aye Phyu Phyu Aung
Uttam Kumar
Senthilnath Jayavelu
VLM
CLL
33
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
29
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
21
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
14
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
42
1
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
38
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
46
1
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
40
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
53
6
0
06 Sep 2024
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
75
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
36
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
47
7
0
02 Sep 2024
Incremental Open-set Domain Adaptation
Incremental Open-set Domain Adaptation
Sayan Rakshit
Hmrishav Bandyopadhyay
Nibaran Das
Biplab Banerjee
CLL
26
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
47
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
27
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
53
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
29
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
22
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
CML
OOD
TTA
38
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
30
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
42
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
45
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
VLM
CLL
37
3
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
FedML
AAML
39
0
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
TTA
CLL
VLM
35
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
42
1
0
16 Jul 2024
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