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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
A Unified and General Framework for Continual Learning
A Unified and General Framework for Continual Learning
Zhenyi Wang
Yan Li
Li Shen
Heng-Chiao Huang
CLL
32
18
0
20 Mar 2024
Unveiling the Anomalies in an Ever-Changing World: A Benchmark for
  Pixel-Level Anomaly Detection in Continual Learning
Unveiling the Anomalies in an Ever-Changing World: A Benchmark for Pixel-Level Anomaly Detection in Continual Learning
Nikola Bugarin
Jovana Bugaric
Manuel Barusco
Davide Dalle Pezze
Gian Antonio Susto
49
4
0
19 Mar 2024
Boosting Continual Learning of Vision-Language Models via
  Mixture-of-Experts Adapters
Boosting Continual Learning of Vision-Language Models via Mixture-of-Experts Adapters
Jiazuo Yu
Yunzhi Zhuge
Lu Zhang
Ping Hu
Dong Wang
Huchuan Lu
You He
VLM
KELM
CLL
OODD
119
70
0
18 Mar 2024
Semantic Prompting with Image-Token for Continual Learning
Semantic Prompting with Image-Token for Continual Learning
Jisu Han
Jaemin Na
Wonjun Hwang
CLL
VLM
48
1
0
18 Mar 2024
Continual Forgetting for Pre-trained Vision Models
Continual Forgetting for Pre-trained Vision Models
Hongbo Zhao
Bolin Ni
Haochen Wang
Junsong Fan
Fei Zhu
Yuxi Wang
Yuntao Chen
Gaofeng Meng
Zhaoxiang Zhang
MU
VLM
73
11
0
18 Mar 2024
Learning to better see the unseen: Broad-Deep Mixed Anti-Forgetting
  Framework for Incremental Zero-Shot Fault Diagnosis
Learning to better see the unseen: Broad-Deep Mixed Anti-Forgetting Framework for Incremental Zero-Shot Fault Diagnosis
Jiancheng Zhao
Jiaqi Yue
Chunhui Zhao
AI4CE
20
1
0
18 Mar 2024
PARMESAN: Parameter-Free Memory Search and Transduction for Dense Prediction Tasks
PARMESAN: Parameter-Free Memory Search and Transduction for Dense Prediction Tasks
Philip Matthias Winter
M. Wimmer
David Major
Dimitrios Lenis
Astrid Berg
Theresa Neubauer
Gaia Romana De Paolis
Johannes Novotny
Sophia Ulonska
Katja Bühler
39
0
0
18 Mar 2024
Reconstruct before Query: Continual Missing Modality Learning with
  Decomposed Prompt Collaboration
Reconstruct before Query: Continual Missing Modality Learning with Decomposed Prompt Collaboration
Shu Zhao
Xiaohan Zou
Tan Yu
Huijuan Xu
37
1
0
17 Mar 2024
Towards Robustness and Diversity: Continual Learning in Dialog
  Generation with Text-Mixup and Batch Nuclear-Norm Maximization
Towards Robustness and Diversity: Continual Learning in Dialog Generation with Text-Mixup and Batch Nuclear-Norm Maximization
Zihan Wang
Jiayu Xiao
Mengxian Li
Zhongjiang He
Yongxiang Li
Chao Wang
Shuangyong Song
21
0
0
16 Mar 2024
FOCIL: Finetune-and-Freeze for Online Class Incremental Learning by
  Training Randomly Pruned Sparse Experts
FOCIL: Finetune-and-Freeze for Online Class Incremental Learning by Training Randomly Pruned Sparse Experts
Murat Onur Yildirim
Elif Ceren Gok Yildirim
Decebal Constantin Mocanu
Joaquin Vanschoren
CLL
44
0
0
13 Mar 2024
CoIN: A Benchmark of Continual Instruction tuNing for Multimodel Large
  Language Model
CoIN: A Benchmark of Continual Instruction tuNing for Multimodel Large Language Model
Cheng Chen
Junchen Zhu
Xu Luo
Hengtao Shen
Lianli Gao
Jingkuan Song
CLL
42
13
0
13 Mar 2024
Training Self-localization Models for Unseen Unfamiliar Places via
  Teacher-to-Student Data-Free Knowledge Transfer
Training Self-localization Models for Unseen Unfamiliar Places via Teacher-to-Student Data-Free Knowledge Transfer
Kenta Tsukahara
Kanji Tanaka
Daiki Iwata
32
2
0
13 Mar 2024
PAGE: Domain-Incremental Adaptation with Past-Agnostic Generative Replay
  for Smart Healthcare
PAGE: Domain-Incremental Adaptation with Past-Agnostic Generative Replay for Smart Healthcare
Chia-Hao Li
N. Jha
MedIm
43
0
0
13 Mar 2024
Semantic Residual Prompts for Continual Learning
Semantic Residual Prompts for Continual Learning
Martin Menabue
Emanuele Frascaroli
Matteo Boschini
E. Sangineto
Lorenzo Bonicelli
Angelo Porrello
Simone Calderara
CLL
VLM
43
9
0
11 Mar 2024
CEAT: Continual Expansion and Absorption Transformer for Non-Exemplar
  Class-Incremental Learning
CEAT: Continual Expansion and Absorption Transformer for Non-Exemplar Class-Incremental Learning
Xinyuan Gao
Songlin Dong
Yuhang He
Xing Wei
Yihong Gong
CLL
34
4
0
11 Mar 2024
Reset & Distill: A Recipe for Overcoming Negative Transfer in Continual
  Reinforcement Learning
Reset & Distill: A Recipe for Overcoming Negative Transfer in Continual Reinforcement Learning
Hongjoon Ahn
Jinu Hyeon
Youngmin Oh
Bosun Hwang
Taesup Moon
CLL
OnRL
37
2
0
08 Mar 2024
GUIDE: Guidance-based Incremental Learning with Diffusion Models
GUIDE: Guidance-based Incremental Learning with Diffusion Models
Bartosz Cywiñski
Kamil Deja
Tomasz Trzciñski
Bartlomiej Twardowski
Lukasz Kuciñski
DiffM
45
3
0
06 Mar 2024
Recall-Oriented Continual Learning with Generative Adversarial
  Meta-Model
Recall-Oriented Continual Learning with Generative Adversarial Meta-Model
Haneol Kang
Dong-Wan Choi
CLL
BDL
33
1
0
05 Mar 2024
DP-CRE: Continual Relation Extraction via Decoupled Contrastive Learning
  and Memory Structure Preservation
DP-CRE: Continual Relation Extraction via Decoupled Contrastive Learning and Memory Structure Preservation
Mengyi Huang
Meng Xiao
Ludi Wang
Yi Du
44
2
0
05 Mar 2024
Interactive Continual Learning: Fast and Slow Thinking
Interactive Continual Learning: Fast and Slow Thinking
Biqing Qi
Xingquan Chen
Junqi Gao
Dong Li
Jianxing Liu
Ligang Wu
Bowen Zhou
CLL
31
18
0
05 Mar 2024
Gradient Correlation Subspace Learning against Catastrophic Forgetting
Gradient Correlation Subspace Learning against Catastrophic Forgetting
Tammuz Dubnov
Vishal G. Thengane
CLL
19
0
0
04 Mar 2024
HOP to the Next Tasks and Domains for Continual Learning in NLP
HOP to the Next Tasks and Domains for Continual Learning in NLP
Umberto Michieli
Mete Ozay
VLM
39
2
0
28 Feb 2024
SparseLLM: Towards Global Pruning for Pre-trained Language Models
SparseLLM: Towards Global Pruning for Pre-trained Language Models
Guangji Bai
Yijiang Li
Chen Ling
Kibaek Kim
Liang Zhao
33
6
0
28 Feb 2024
MCF-VC: Mitigate Catastrophic Forgetting in Class-Incremental Learning
  for Multimodal Video Captioning
MCF-VC: Mitigate Catastrophic Forgetting in Class-Incremental Learning for Multimodal Video Captioning
Huiyu Xiong
Lanxiao Wang
Heqian Qiu
Taijin Zhao
Benliu Qiu
Hongliang Li
CLL
46
1
0
27 Feb 2024
Robustness-Congruent Adversarial Training for Secure Machine Learning
  Model Updates
Robustness-Congruent Adversarial Training for Secure Machine Learning Model Updates
Daniele Angioni
Luca Demetrio
Maura Pintor
Luca Oneto
Davide Anguita
Battista Biggio
Fabio Roli
AAML
38
2
0
27 Feb 2024
ACTrack: Adding Spatio-Temporal Condition for Visual Object Tracking
ACTrack: Adding Spatio-Temporal Condition for Visual Object Tracking
Yushan Han
Kaer Huang
32
0
0
27 Feb 2024
CorpusBrain++: A Continual Generative Pre-Training Framework for
  Knowledge-Intensive Language Tasks
CorpusBrain++: A Continual Generative Pre-Training Framework for Knowledge-Intensive Language Tasks
Jiafeng Guo
Changjiang Zhou
Ruqing Zhang
Jiangui Chen
Maarten de Rijke
Yixing Fan
Xueqi Cheng
CLL
26
7
0
26 Feb 2024
Fixed Random Classifier Rearrangement for Continual Learning
Fixed Random Classifier Rearrangement for Continual Learning
Shengyang Huang
Jianwen Mo
58
0
0
23 Feb 2024
DSLR: Diversity Enhancement and Structure Learning for Rehearsal-based
  Graph Continual Learning
DSLR: Diversity Enhancement and Structure Learning for Rehearsal-based Graph Continual Learning
Seungyoon Choi
Wonjoong Kim
Sungwon Kim
Yeonjun In
Sein Kim
Chanyoung Park
CLL
30
5
0
21 Feb 2024
Self-Distillation Bridges Distribution Gap in Language Model Fine-Tuning
Self-Distillation Bridges Distribution Gap in Language Model Fine-Tuning
Zhaorui Yang
Tianyu Pang
H. Feng
Han Wang
Wei Chen
Minfeng Zhu
Qian Liu
ALM
40
37
0
21 Feb 2024
Efficient Parameter Mining and Freezing for Continual Object Detection
Efficient Parameter Mining and Freezing for Continual Object Detection
Angelo G. Menezes
Augusto J. Peterlevitz
Mateus A. Chinelatto
André C. P. L. F. de Carvalho
40
0
0
20 Feb 2024
Class-incremental Learning for Time Series: Benchmark and Evaluation
Class-incremental Learning for Time Series: Benchmark and Evaluation
Zhongzheng Qiao
Quang-Cuong Pham
Zhen Cao
Hoang H Le
Ponnuthurai Nagaratnam Suganthan
Xudong Jiang
Savitha Ramasamy
45
10
0
19 Feb 2024
Hebbian Learning based Orthogonal Projection for Continual Learning of
  Spiking Neural Networks
Hebbian Learning based Orthogonal Projection for Continual Learning of Spiking Neural Networks
Mingqing Xiao
Qingyan Meng
Zongpeng Zhang
D.K. He
Zhouchen Lin
CLL
31
5
0
19 Feb 2024
Continual Learning on Graphs: A Survey
Continual Learning on Graphs: A Survey
Zonggui Tian
Duanhao Zhang
Hong-Ning Dai
47
5
0
09 Feb 2024
Fine-tuning Reinforcement Learning Models is Secretly a Forgetting
  Mitigation Problem
Fine-tuning Reinforcement Learning Models is Secretly a Forgetting Mitigation Problem
Maciej Wolczyk
Bartłomiej Cupiał
M. Ostaszewski
Michal Bortkiewicz
Michal Zajkac
Razvan Pascanu
Lukasz Kuciñski
Piotr Milo's
CLL
48
13
0
05 Feb 2024
Class incremental learning with probability dampening and cascaded gated
  classifier
Class incremental learning with probability dampening and cascaded gated classifier
Jary Pomponi
Alessio Devoto
Simone Scardapane
CLL
18
0
0
02 Feb 2024
Hierarchical Continual Reinforcement Learning via Large Language Model
Hierarchical Continual Reinforcement Learning via Large Language Model
Chaofan Pan
Xin Yang
Hao Wang
Wei Wei
Tianrui Li
25
2
0
25 Jan 2024
Hierarchical Prompts for Rehearsal-free Continual Learning
Hierarchical Prompts for Rehearsal-free Continual Learning
Yukun Zuo
Hantao Yao
Lu Yu
Liansheng Zhuang
Changsheng Xu
CLL
VLM
30
1
0
21 Jan 2024
Towards Open-World Gesture Recognition
Towards Open-World Gesture Recognition
Junxiao Shen
Matthias De Lange
X. Xu
Enmin Zhou
Ran Tan
Naveen Suda
Maciej Lazarewicz
Per Ola Kristensson
Amy Karlson
Evan Strasnick
20
3
0
20 Jan 2024
CEL: A Continual Learning Model for Disease Outbreak Prediction by
  Leveraging Domain Adaptation via Elastic Weight Consolidation
CEL: A Continual Learning Model for Disease Outbreak Prediction by Leveraging Domain Adaptation via Elastic Weight Consolidation
Saba Aslam
Abdur Rasool
Hongyan Wu
Xiaoli Li
22
5
0
17 Jan 2024
Solving Continual Offline Reinforcement Learning with Decision
  Transformer
Solving Continual Offline Reinforcement Learning with Decision Transformer
Kaixin Huang
Li Shen
Chen Zhao
Chun Yuan
Dacheng Tao
CLL
OffRL
30
5
0
16 Jan 2024
Hierarchical Augmentation and Distillation for Class Incremental
  Audio-Visual Video Recognition
Hierarchical Augmentation and Distillation for Class Incremental Audio-Visual Video Recognition
Yukun Zuo
Hantao Yao
Liansheng Zhuang
Changsheng Xu
15
2
0
11 Jan 2024
t-DGR: A Trajectory-Based Deep Generative Replay Method for Continual
  Learning in Decision Making
t-DGR: A Trajectory-Based Deep Generative Replay Method for Continual Learning in Decision Making
William Yue
Bo Liu
Peter Stone
32
4
0
04 Jan 2024
A Comprehensive Study of Knowledge Editing for Large Language Models
A Comprehensive Study of Knowledge Editing for Large Language Models
Ningyu Zhang
Yunzhi Yao
Bo Tian
Peng Wang
Shumin Deng
...
Lei Liang
Qing Cui
Xiao-Jun Zhu
Jun Zhou
Huajun Chen
KELM
47
77
0
02 Jan 2024
Continual Learning in Medical Image Analysis: A Comprehensive Review of
  Recent Advancements and Future Prospects
Continual Learning in Medical Image Analysis: A Comprehensive Review of Recent Advancements and Future Prospects
Pratibha Kumari
Joohi Chauhan
Afshin Bozorgpour
Boqiang Huang
Reza Azad
Dorit Merhof
55
11
0
28 Dec 2023
Federated Continual Learning via Knowledge Fusion: A Survey
Federated Continual Learning via Knowledge Fusion: A Survey
Xin Yang
Hao Yu
Xin Gao
Hao Wang
Junbo Zhang
Tianrui Li
FedML
36
31
0
27 Dec 2023
Recursive Distillation for Open-Set Distributed Robot Localization
Recursive Distillation for Open-Set Distributed Robot Localization
Kenta Tsukahara
Kanji Tanaka
19
0
0
26 Dec 2023
Doubly Perturbed Task Free Continual Learning
Doubly Perturbed Task Free Continual Learning
Byung Hyun Lee
Min-hwan Oh
Se Young Chun
27
3
0
20 Dec 2023
Continual Learning: Forget-free Winning Subnetworks for Video
  Representations
Continual Learning: Forget-free Winning Subnetworks for Video Representations
Haeyong Kang
Jaehong Yoon
Sung Ju Hwang
Chang D. Yoo
CLL
39
2
0
19 Dec 2023
Catastrophic Forgetting in Deep Learning: A Comprehensive Taxonomy
Catastrophic Forgetting in Deep Learning: A Comprehensive Taxonomy
Everton L. Aleixo
J. Colonna
Marco Cristo
Everlandio Fernandes
CLL
55
22
0
16 Dec 2023
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