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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
Mitigating Background Shift in Class-Incremental Semantic Segmentation
Mitigating Background Shift in Class-Incremental Semantic Segmentation
Gilhan Park
WonJun Moon
Subeen Lee
Tae-Young Kim
Jae-Pil Heo
CLL
VLM
34
0
0
16 Jul 2024
Bridge Past and Future: Overcoming Information Asymmetry in Incremental
  Object Detection
Bridge Past and Future: Overcoming Information Asymmetry in Incremental Object Detection
Qijie Mo
Yipeng Gao
Shenghao Fu
Junkai Yan
Ancong Wu
Wei-Shi Zheng
CLL
31
6
0
16 Jul 2024
Overcoming Catastrophic Forgetting in Federated Class-Incremental
  Learning via Federated Global Twin Generator
Overcoming Catastrophic Forgetting in Federated Class-Incremental Learning via Federated Global Twin Generator
Thinh Nguyen
Khoa D. Doan
Binh T. Nguyen
Danh Le-Phuoc
Kok-Seng Wong
FedML
43
0
0
13 Jul 2024
Cs2K: Class-specific and Class-shared Knowledge Guidance for Incremental
  Semantic Segmentation
Cs2K: Class-specific and Class-shared Knowledge Guidance for Incremental Semantic Segmentation
Wei Cong
Yang Cong
Yuyang Liu
Gan Sun
VLM
CLL
39
2
0
12 Jul 2024
BiasPruner: Debiased Continual Learning for Medical Image Classification
BiasPruner: Debiased Continual Learning for Medical Image Classification
Nourhan Bayasi
Jamil Fayyad
Alceu Bissoto
Ghassan Hamarneh
Rafeef Garbi
CLL
40
3
0
11 Jul 2024
Exemplar-free Continual Representation Learning via Learnable Drift
  Compensation
Exemplar-free Continual Representation Learning via Learnable Drift Compensation
Alex Gomez-Villa
Dipam Goswami
Kai Wang
Andrew D. Bagdanov
Bartlomiej Twardowski
Joost van de Weijer
CLL
SSL
36
9
0
11 Jul 2024
CLEO: Continual Learning of Evolving Ontologies
CLEO: Continual Learning of Evolving Ontologies
Shishir Muralidhara
Saqib Bukhari
Georg Schneider
Didier Stricker
René Schuster
CLL
35
0
0
11 Jul 2024
How to Leverage Predictive Uncertainty Estimates for Reducing
  Catastrophic Forgetting in Online Continual Learning
How to Leverage Predictive Uncertainty Estimates for Reducing Catastrophic Forgetting in Online Continual Learning
Giuseppe Serra
Ben Werner
Florian Buettner
45
2
0
10 Jul 2024
CrowdTransfer: Enabling Crowd Knowledge Transfer in AIoT Community
CrowdTransfer: Enabling Crowd Knowledge Transfer in AIoT Community
Yan Liu
Bin Guo
Nuo Li
Yasan Ding
Zhouyangzi Zhang
Zhiwen Yu
50
1
0
09 Jul 2024
Mind the Interference: Retaining Pre-trained Knowledge in Parameter
  Efficient Continual Learning of Vision-Language Models
Mind the Interference: Retaining Pre-trained Knowledge in Parameter Efficient Continual Learning of Vision-Language Models
Longxiang Tang
Zhuotao Tian
Kai Li
Chunming He
Hantao Zhou
Hengshuang Zhao
Xiu Li
Jiaya Jia
CLL
VLM
42
21
0
07 Jul 2024
PECTP: Parameter-Efficient Cross-Task Prompts for Incremental Vision
  Transformer
PECTP: Parameter-Efficient Cross-Task Prompts for Incremental Vision Transformer
Qian Feng
Hanbin Zhao
Chao Zhang
Jiahua Dong
Henghui Ding
Yu-Gang Jiang
Hui Qian
VLM
39
3
0
04 Jul 2024
TEAL: New Selection Strategy for Small Buffers in Experience Replay
  Class Incremental Learning
TEAL: New Selection Strategy for Small Buffers in Experience Replay Class Incremental Learning
Shahar Shaul-Ariel
D. Weinshall
VLM
37
0
0
30 Jun 2024
MoE-CT: A Novel Approach For Large Language Models Training With
  Resistance To Catastrophic Forgetting
MoE-CT: A Novel Approach For Large Language Models Training With Resistance To Catastrophic Forgetting
Tianhao Li
Shangjie Li
Binbin Xie
Deyi Xiong
Baosong Yang
CLL
50
3
0
25 Jun 2024
Forget but Recall: Incremental Latent Rectification in Continual
  Learning
Forget but Recall: Incremental Latent Rectification in Continual Learning
Nghia D. Nguyen
Hieu Trung Nguyen
Ang Li
H. Pham
Viet Anh Nguyen
Khoa D. Doan
CLL
53
0
0
25 Jun 2024
Continual Learning with Diffusion-based Generative Replay for Industrial
  Streaming Data
Continual Learning with Diffusion-based Generative Replay for Industrial Streaming Data
Jiayi He
Jiao Chen
Qianmiao Liu
Suyan Dai
Jianhua Tang
Dongpo Liu
DiffM
AI4CE
45
4
0
22 Jun 2024
Finding Task-specific Subnetworks in Multi-task Spoken Language
  Understanding Model
Finding Task-specific Subnetworks in Multi-task Spoken Language Understanding Model
Hayato Futami
Siddhant Arora
Yosuke Kashiwagi
E. Tsunoo
Shinji Watanabe
42
0
0
18 Jun 2024
Reflecting on the State of Rehearsal-free Continual Learning with
  Pretrained Models
Reflecting on the State of Rehearsal-free Continual Learning with Pretrained Models
Lukas Thede
Karsten Roth
Olivier J. Hénaff
Matthias Bethge
Zeynep Akata
CLL
47
5
0
13 Jun 2024
Step Out and Seek Around: On Warm-Start Training with Incremental Data
Step Out and Seek Around: On Warm-Start Training with Incremental Data
Maying Shen
Hongxu Yin
Pavlo Molchanov
Lei Mao
Jose M. Alvarez
CLL
58
1
0
06 Jun 2024
Choice of PEFT Technique in Continual Learning: Prompt Tuning is Not All
  You Need
Choice of PEFT Technique in Continual Learning: Prompt Tuning is Not All You Need
Martin Wistuba
Prabhu Teja Sivaprasad
Lukas Balles
Giovanni Zappella
40
0
0
05 Jun 2024
Continual Traffic Forecasting via Mixture of Experts
Continual Traffic Forecasting via Mixture of Experts
Sanghyun Lee
Chanyoung Park
CLL
49
3
0
05 Jun 2024
Parameterizing Federated Continual Learning for Reproducible Research
Parameterizing Federated Continual Learning for Reproducible Research
Bart Cox
Jeroen Galjaard
Aditya Shankar
Jérémie Decouchant
Lydia Y. Chen
FedML
56
0
0
04 Jun 2024
Distribution Aligned Semantics Adaption for Lifelong Person Re-Identification
Distribution Aligned Semantics Adaption for Lifelong Person Re-Identification
Qizao Wang
Xuelin Qian
Bin Li
Xiangyang Xue
26
1
0
30 May 2024
Lifelong Learning Using a Dynamically Growing Tree of Sub-networks for
  Domain Generalization in Video Object Segmentation
Lifelong Learning Using a Dynamically Growing Tree of Sub-networks for Domain Generalization in Video Object Segmentation
Islam I. Osman
Mohamed S. Shehata
35
0
0
29 May 2024
Federated Continual Learning Goes Online: Leveraging Uncertainty for
  Modality-Agnostic Class-Incremental Learning
Federated Continual Learning Goes Online: Leveraging Uncertainty for Modality-Agnostic Class-Incremental Learning
Giuseppe Serra
Florian Buettner
CLL
FedML
54
0
0
29 May 2024
MLAE: Masked LoRA Experts for Parameter-Efficient Fine-Tuning
MLAE: Masked LoRA Experts for Parameter-Efficient Fine-Tuning
Junjie Wang
Guangjing Yang
Wentao Chen
Huahui Yi
Xiaohu Wu
Qicheng Lao
MoE
ALM
44
0
0
29 May 2024
Improving Data-aware and Parameter-aware Robustness for Continual
  Learning
Improving Data-aware and Parameter-aware Robustness for Continual Learning
Hanxi Xiao
Fan Lyu
CLL
35
0
0
27 May 2024
MonoDETRNext: Next-generation Accurate and Efficient Monocular 3D Object
  Detection Method
MonoDETRNext: Next-generation Accurate and Efficient Monocular 3D Object Detection Method
Pan Liao
Feng Yang
Di Wu
Liu Bo
34
0
0
24 May 2024
U-TELL: Unsupervised Task Expert Lifelong Learning
U-TELL: Unsupervised Task Expert Lifelong Learning
Indu Solomon
Aye Phyu Phyu Aung
Uttam Kumar
Senthilnath Jayavelu
CLL
34
1
0
23 May 2024
Mitigating Interference in the Knowledge Continuum through
  Attention-Guided Incremental Learning
Mitigating Interference in the Knowledge Continuum through Attention-Guided Incremental Learning
Prashant Shivaram Bhat
Bharath Renjith
Elahe Arani
Bahram Zonooz
CLL
46
0
0
22 May 2024
Task agnostic continual learning with Pairwise layer architecture
Task agnostic continual learning with Pairwise layer architecture
Santtu Keskinen
CLL
40
1
0
22 May 2024
A Methodology-Oriented Study of Catastrophic Forgetting in Incremental
  Deep Neural Networks
A Methodology-Oriented Study of Catastrophic Forgetting in Incremental Deep Neural Networks
Ashutosh Kumar
Sonali Agarwal
D. J. Hemanth
43
0
0
11 May 2024
Non-stationary Domain Generalization: Theory and Algorithm
Non-stationary Domain Generalization: Theory and Algorithm
Thai-Hoang Pham
Xueru Zhang
Ping Zhang
OOD
51
1
0
10 May 2024
Continual Learning in the Presence of Repetition
Continual Learning in the Presence of Repetition
Hamed Hemati
Lorenzo Pellegrini
Xiaotian Duan
Zixuan Zhao
Fangfang Xia
...
Shiji Zhao
Shao-Yuan Li
Sheng-Jun Huang
Vincenzo Lomonaco
Gido M. van de Ven
CLL
36
2
0
07 May 2024
Prompt Customization for Continual Learning
Prompt Customization for Continual Learning
Yong Dai
Xiaopeng Hong
Yabin Wang
Zhiheng Ma
D. Jiang
Yaowei Wang
48
0
0
28 Apr 2024
MuseumMaker: Continual Style Customization without Catastrophic
  Forgetting
MuseumMaker: Continual Style Customization without Catastrophic Forgetting
Chenxi Liu
Gan Sun
Wenqi Liang
Jiahua Dong
Can Qin
Yang Cong
DiffM
50
3
0
25 Apr 2024
Brain-Inspired Continual Learning-Robust Feature Distillation and
  Re-Consolidation for Class Incremental Learning
Brain-Inspired Continual Learning-Robust Feature Distillation and Re-Consolidation for Class Incremental Learning
Hikmat Khan
N. Bouaynaya
Ghulam Rasool
CLL
38
1
0
22 Apr 2024
I2CANSAY:Inter-Class Analogical Augmentation and Intra-Class
  Significance Analysis for Non-Exemplar Online Task-Free Continual Learning
I2CANSAY:Inter-Class Analogical Augmentation and Intra-Class Significance Analysis for Non-Exemplar Online Task-Free Continual Learning
Songlin Dong
Yingjie Chen
Yuhang He
Yuhan Jin
Alex C. Kot
Yihong Gong
CLL
26
0
0
21 Apr 2024
FedPFT: Federated Proxy Fine-Tuning of Foundation Models
FedPFT: Federated Proxy Fine-Tuning of Foundation Models
Zhaopeng Peng
Xiaoliang Fan
Yufan Chen
Zheng Wang
Shirui Pan
Chenglu Wen
Ruisheng Zhang
Cheng-i Wang
72
8
0
17 Apr 2024
Continual Offline Reinforcement Learning via Diffusion-based Dual
  Generative Replay
Continual Offline Reinforcement Learning via Diffusion-based Dual Generative Replay
Jinmei Liu
Wenbin Li
Xiangyu Yue
Shilin Zhang
Chunlin Chen
Zhi Wang
OffRL
DiffM
36
5
0
16 Apr 2024
Scalable Language Model with Generalized Continual Learning
Scalable Language Model with Generalized Continual Learning
Bohao Peng
Zhuotao Tian
Shu Liu
Mingchang Yang
Jiaya Jia
ALM
CLL
KELM
35
13
0
11 Apr 2024
Fairness Evolution in Continual Learning for Medical Imaging
Fairness Evolution in Continual Learning for Medical Imaging
Marina Ceccon
Davide Dalle Pezze
Alessandro Fabris
Gian Antonio Susto
OOD
49
1
0
10 Apr 2024
Multi-Label Continual Learning for the Medical Domain: A Novel Benchmark
Multi-Label Continual Learning for the Medical Domain: A Novel Benchmark
Marina Ceccon
Davide Dalle Pezze
Alessandro Fabris
Gian Antonio Susto
CLL
42
2
0
10 Apr 2024
Continual Learning for Autonomous Robots: A Prototype-based Approach
Continual Learning for Autonomous Robots: A Prototype-based Approach
Elvin Hajizada
Balachandran Swaminathan
Yulia Sandamirskaya
CLL
31
1
0
30 Mar 2024
Reusable Architecture Growth for Continual Stereo Matching
Reusable Architecture Growth for Continual Stereo Matching
Chenghao Zhang
Gaofeng Meng
Bin Fan
Kun Tian
Zhaoxiang Zhang
Shiming Xiang
Chunhong Pan
3DV
34
4
0
30 Mar 2024
Selective Attention-based Modulation for Continual Learning
Selective Attention-based Modulation for Continual Learning
Giovanni Bellitto
Federica Proietto Salanitri
M. Pennisi
Matteo Boschini
Angelo Porrello
Simone Calderara
S. Palazzo
C. Spampinato
CLL
47
1
0
29 Mar 2024
Branch-Tuning: Balancing Stability and Plasticity for Continual
  Self-Supervised Learning
Branch-Tuning: Balancing Stability and Plasticity for Continual Self-Supervised Learning
Wenzhuo Liu
Fei Zhu
Cheng-Lin Liu
CLL
43
2
0
27 Mar 2024
Recommendation of data-free class-incremental learning algorithms by
  simulating future data
Recommendation of data-free class-incremental learning algorithms by simulating future data
Eva Feillet
Adrian Daniel Popescu
C´eline Hudelot
49
0
0
26 Mar 2024
Enhancing Visual Continual Learning with Language-Guided Supervision
Enhancing Visual Continual Learning with Language-Guided Supervision
Bolin Ni
Hongbo Zhao
Chenghao Zhang
Ke Hu
Gaofeng Meng
Zhaoxiang Zhang
Shiming Xiang
CLL
VLM
51
3
0
24 Mar 2024
Preventing Catastrophic Forgetting through Memory Networks in Continuous
  Detection
Preventing Catastrophic Forgetting through Memory Networks in Continuous Detection
Gaurav Bhatt
James Ross
Leonid Sigal
CLL
VLM
29
2
0
21 Mar 2024
Text-Enhanced Data-free Approach for Federated Class-Incremental
  Learning
Text-Enhanced Data-free Approach for Federated Class-Incremental Learning
Minh-Tuan Tran
Trung Le
Xuan-May Le
Mehrtash Harandi
Dinh Q. Phung
CLL
40
6
0
21 Mar 2024
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