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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
Primal Dual Continual Learning: Balancing Stability and Plasticity
  through Adaptive Memory Allocation
Primal Dual Continual Learning: Balancing Stability and Plasticity through Adaptive Memory Allocation
Juan Elenter
Navid Naderializadeh
Tara Javidi
Alejandro Ribeiro
CLL
26
1
0
29 Sep 2023
HyperMask: Adaptive Hypernetwork-based Masks for Continual Learning
HyperMask: Adaptive Hypernetwork-based Masks for Continual Learning
Kamil Ksiazek
Przemysław Spurek
CLL
33
5
0
29 Sep 2023
A Survey of Incremental Transfer Learning: Combining Peer-to-Peer
  Federated Learning and Domain Incremental Learning for Multicenter
  Collaboration
A Survey of Incremental Transfer Learning: Combining Peer-to-Peer Federated Learning and Domain Incremental Learning for Multicenter Collaboration
Yixing Huang
Christoph Bert
Rostislav Makarov
Alexander Alenin
Andreas Maier
F. Putz
FedML
CLL
27
1
0
29 Sep 2023
E2Net: Resource-Efficient Continual Learning with Elastic Expansion
  Network
E2Net: Resource-Efficient Continual Learning with Elastic Expansion Network
Ruiqi Liu
Boyu Diao
Libo Huang
Zhulin An
Yongjun Xu
CLL
27
0
0
28 Sep 2023
Class Incremental Learning via Likelihood Ratio Based Task Prediction
Class Incremental Learning via Likelihood Ratio Based Task Prediction
Haowei Lin
Yijia Shao
W. Qian
Ningxin Pan
Yiduo Guo
Bing-Quan Liu
CLL
36
13
0
26 Sep 2023
Person Re-Identification for Robot Person Following with Online
  Continual Learning
Person Re-Identification for Robot Person Following with Online Continual Learning
Hanjing Ye
Jieting Zhao
Yu Zhan
Weinan Chen
Li He
Hong Zhang
24
8
0
21 Sep 2023
Create and Find Flatness: Building Flat Training Spaces in Advance for
  Continual Learning
Create and Find Flatness: Building Flat Training Spaces in Advance for Continual Learning
Wenhang Shi
Yiren Chen
Zhe Zhao
Wei Lu
Kimmo Yan
Xiaoyong Du
CLL
42
5
0
20 Sep 2023
Looking through the past: better knowledge retention for generative
  replay in continual learning
Looking through the past: better knowledge retention for generative replay in continual learning
Valeriya Khan
Sebastian Cygert
Kamil Deja
Tomasz Trzciñski
Bartlomiej Twardowski
31
7
0
18 Sep 2023
DFIL: Deepfake Incremental Learning by Exploiting Domain-invariant
  Forgery Clues
DFIL: Deepfake Incremental Learning by Exploiting Domain-invariant Forgery Clues
Kun Pan
Yifang Yin
Yao Wei
Feng Lin
Zhongjie Ba
Zhenguang Liu
Zhibo Wang
Lorenzo Cavallaro
Kui Ren
CLL
49
16
0
18 Sep 2023
Continual Learning with Deep Streaming Regularized Discriminant Analysis
Continual Learning with Deep Streaming Regularized Discriminant Analysis
Joe Khawand
P. Hanappe
David Colliaux
CLL
18
0
0
15 Sep 2023
Plasticity-Optimized Complementary Networks for Unsupervised Continual
  Learning
Plasticity-Optimized Complementary Networks for Unsupervised Continual Learning
Alex Gomez-Villa
Bartlomiej Twardowski
Kai Wang
Joost van de Weijer
SSL
CLL
33
8
0
12 Sep 2023
Towards Fully Decoupled End-to-End Person Search
Towards Fully Decoupled End-to-End Person Search
Pengcheng Zhang
Xiao Bai
Jingyi Zheng
Xin Ning
33
2
0
10 Sep 2023
Instant Continual Learning of Neural Radiance Fields
Instant Continual Learning of Neural Radiance Fields
Ryan Po
Zhengyang Dong
Alexander W. Bergman
Gordon Wetzstein
CLL
25
10
0
04 Sep 2023
Federated Orthogonal Training: Mitigating Global Catastrophic Forgetting
  in Continual Federated Learning
Federated Orthogonal Training: Mitigating Global Catastrophic Forgetting in Continual Federated Learning
Yavuz Faruk Bakman
D. Yaldiz
Yahya H. Ezzeldin
A. Avestimehr
CLL
FedML
32
15
0
03 Sep 2023
Continual Learning From a Stream of APIs
Continual Learning From a Stream of APIs
Enneng Yang
Zhenyi Wang
Li Shen
Nan Yin
Tongliang Liu
Guibing Guo
Xingwei Wang
Dacheng Tao
CLL
27
3
0
31 Aug 2023
ScrollNet: Dynamic Weight Importance for Continual Learning
ScrollNet: Dynamic Weight Importance for Continual Learning
Fei Yang
Kai Wang
Joost van de Weijer
22
4
0
31 Aug 2023
Introducing Language Guidance in Prompt-based Continual Learning
Introducing Language Guidance in Prompt-based Continual Learning
Muhammad Gul Zain Ali Khan
Muhammad Ferjad Naeem
Luc Van Gool
D. Stricker
F. Tombari
Muhammad Zeshan Afzal
VLM
CLL
22
46
0
30 Aug 2023
OEBench: Investigating Open Environment Challenges in Real-World
  Relational Data Streams
OEBench: Investigating Open Environment Challenges in Real-World Relational Data Streams
Yiqun Diao
Yutong Yang
Yue Liu
Bin He
Mian Lu
21
1
0
29 Aug 2023
Continual Learning with Dynamic Sparse Training: Exploring Algorithms
  for Effective Model Updates
Continual Learning with Dynamic Sparse Training: Exploring Algorithms for Effective Model Updates
Murat Onur Yildirim
Elif Ceren Gok Yildirim
Ghada Sokar
Decebal Constantin Mocanu
Joaquin Vanschoren
CLL
30
7
0
28 Aug 2023
CLNeRF: Continual Learning Meets NeRF
CLNeRF: Continual Learning Meets NeRF
Zhipeng Cai
Matthias Mueller
CLL
29
15
0
28 Aug 2023
Universal Graph Continual Learning
Universal Graph Continual Learning
Thanh Duc Hoang
Do Viet Tung
Duy-Hung Nguyen
Bao-Sinh Nguyen
Huy Hoang Nguyen
Hung Le
CLL
26
3
0
27 Aug 2023
I3DOD: Towards Incremental 3D Object Detection via Prompting
I3DOD: Towards Incremental 3D Object Detection via Prompting
Wenqi Liang
Gan Sun
Chenxi Liu
Jiahua Dong
Kangru Wang
CLL
28
2
0
24 Aug 2023
Masked Autoencoders are Efficient Class Incremental Learners
Masked Autoencoders are Efficient Class Incremental Learners
Jiang-Tian Zhai
Xialei Liu
Andrew D. Bagdanov
Ke Li
Mingg-Ming Cheng
CLL
27
13
0
24 Aug 2023
RemovalNet: DNN Fingerprint Removal Attacks
RemovalNet: DNN Fingerprint Removal Attacks
Hongwei Yao
Zhengguang Li
Kunzhe Huang
Jian Lou
Zhan Qin
Kui Ren
MLAU
AAML
24
3
0
23 Aug 2023
When Prompt-based Incremental Learning Does Not Meet Strong Pretraining
When Prompt-based Incremental Learning Does Not Meet Strong Pretraining
Yuyao Tang
Yifan Peng
Weiwen Zheng
CLL
VLM
28
32
0
21 Aug 2023
NAPA-VQ: Neighborhood Aware Prototype Augmentation with Vector
  Quantization for Continual Learning
NAPA-VQ: Neighborhood Aware Prototype Augmentation with Vector Quantization for Continual Learning
T. Malepathirana
Damith A. Senanayake
Saman K. Halgamuge
CLL
32
12
0
18 Aug 2023
Task Relation Distillation and Prototypical Pseudo Label for Incremental
  Named Entity Recognition
Task Relation Distillation and Prototypical Pseudo Label for Incremental Named Entity Recognition
Duzhen Zhang
Hongliu Li
Wei Cong
Rongtao Xu
Jiahua Dong
Xiuyi Chen
CLL
34
10
0
17 Aug 2023
CTP: Towards Vision-Language Continual Pretraining via Compatible
  Momentum Contrast and Topology Preservation
CTP: Towards Vision-Language Continual Pretraining via Compatible Momentum Contrast and Topology Preservation
Hongguang Zhu
Yunchao Wei
Xiaodan Liang
Chunjie Zhang
Yao-Min Zhao
VLM
32
28
0
14 Aug 2023
Ada-QPacknet -- adaptive pruning with bit width reduction as an
  efficient continual learning method without forgetting
Ada-QPacknet -- adaptive pruning with bit width reduction as an efficient continual learning method without forgetting
Marcin Pietroñ
Dominik Zurek
Kamil Faber
Roberto Corizzo
CLL
32
2
0
14 Aug 2023
IOB: Integrating Optimization Transfer and Behavior Transfer for
  Multi-Policy Reuse
IOB: Integrating Optimization Transfer and Behavior Transfer for Multi-Policy Reuse
Siyuan Li
Haoyang Li
Jin Zhang
Zhen Wang
Peng Liu
Chongjie Zhang
OffRL
24
1
0
14 Aug 2023
OpenGCD: Assisting Open World Recognition with Generalized Category
  Discovery
OpenGCD: Assisting Open World Recognition with Generalized Category Discovery
Fulin Gao
Weimin Zhong
Zhixing Cao
Xin Peng
Zhi Li
8
1
0
14 Aug 2023
Do You Remember? Overcoming Catastrophic Forgetting for Fake Audio
  Detection
Do You Remember? Overcoming Catastrophic Forgetting for Fake Audio Detection
Xiaohui Zhang
Jiangyan Yi
J. Tao
Chenglong Wang
Chuyuan Zhang
CLL
36
23
0
07 Aug 2023
Class Incremental Learning with Self-Supervised Pre-Training and
  Prototype Learning
Class Incremental Learning with Self-Supervised Pre-Training and Prototype Learning
Wenzhuo Liu
Xinjian Wu
Fei Zhu
Mingming Yu
Chuan Wang
Cheng-Lin Liu
SSL
CLL
42
11
0
04 Aug 2023
Balanced Destruction-Reconstruction Dynamics for Memory-replay Class
  Incremental Learning
Balanced Destruction-Reconstruction Dynamics for Memory-replay Class Incremental Learning
Yuhang Zhou
Jiangchao Yao
Feng Hong
Ya Zhang
Yanfeng Wang
23
6
0
03 Aug 2023
Beyond Generic: Enhancing Image Captioning with Real-World Knowledge
  using Vision-Language Pre-Training Model
Beyond Generic: Enhancing Image Captioning with Real-World Knowledge using Vision-Language Pre-Training Model
Ka Leong Cheng
Wenpo Song
Zheng Ma
Wenhao Zhu
Zi-Yue Zhu
Jianbing Zhang
CLIP
VLM
27
10
0
02 Aug 2023
Subspace Distillation for Continual Learning
Subspace Distillation for Continual Learning
Kaushik Roy
Christian Simon
Peyman Moghadam
Mehrtash Harandi
CLL
11
10
0
31 Jul 2023
Regularized Mask Tuning: Uncovering Hidden Knowledge in Pre-trained
  Vision-Language Models
Regularized Mask Tuning: Uncovering Hidden Knowledge in Pre-trained Vision-Language Models
Kecheng Zheng
Wei Wu
Ruili Feng
Kai Zhu
Jiawei Liu
Deli Zhao
Zhengjun Zha
Wei Chen
Yujun Shen
VLM
32
8
0
27 Jul 2023
A Sparse Quantized Hopfield Network for Online-Continual Memory
A Sparse Quantized Hopfield Network for Online-Continual Memory
Nick Alonso
J. Krichmar
35
3
0
27 Jul 2023
Augmented Box Replay: Overcoming Foreground Shift for Incremental Object
  Detection
Augmented Box Replay: Overcoming Foreground Shift for Incremental Object Detection
Liu Yuyang
Cong Yang
Dipam Goswami
Liu Xialei
Joost van de Weijer
CLL
18
24
0
23 Jul 2023
CLR: Channel-wise Lightweight Reprogramming for Continual Learning
CLR: Channel-wise Lightweight Reprogramming for Continual Learning
Yunhao Ge
Yuecheng Li
Shuo Ni
Jiaping Zhao
Ming Yang
Laurent Itti
CLL
36
11
0
21 Jul 2023
Self-paced Weight Consolidation for Continual Learning
Self-paced Weight Consolidation for Continual Learning
Wei Cong
Yang Cong
Gan Sun
Yuyang Liu
Jiahua Dong
CLL
29
14
0
20 Jul 2023
Gradient-Semantic Compensation for Incremental Semantic Segmentation
Gradient-Semantic Compensation for Incremental Semantic Segmentation
Wei Cong
Yang Cong
Jiahua Dong
Gan Sun
Henghui Ding
CLL
VLM
34
12
0
20 Jul 2023
Co(ve)rtex: ML Models as storage channels and their (mis-)applications
Co(ve)rtex: ML Models as storage channels and their (mis-)applications
Md Abdullah Al Mamun
Quazi Mishkatul Alam
Erfan Shayegani
Pedram Zaree
Ihsen Alouani
Nael B. Abu-Ghazaleh
42
0
0
17 Jul 2023
Multi-Domain Learning with Modulation Adapters
Multi-Domain Learning with Modulation Adapters
E. Iakovleva
Alahari Karteek
Jakob Verbeek
30
1
0
17 Jul 2023
Random Boxes Are Open-world Object Detectors
Random Boxes Are Open-world Object Detectors
Yanghao Wang
Zhongqi Yue
Xiansheng Hua
Hanwang Zhang
ObjD
34
17
0
17 Jul 2023
Tangent Model Composition for Ensembling and Continual Fine-tuning
Tangent Model Composition for Ensembling and Continual Fine-tuning
Tianlin Liu
Stefano Soatto
LRM
MoMe
CLL
27
16
0
16 Jul 2023
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual
  Learning
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning
Zhenyi Wang
Enneng Yang
Li Shen
Heng-Chiao Huang
KELM
MU
34
49
0
16 Jul 2023
Class-Incremental Mixture of Gaussians for Deep Continual Learning
Class-Incremental Mixture of Gaussians for Deep Continual Learning
Lukasz Korycki
Bartosz Krawczyk
CLL
BDL
23
1
0
09 Jul 2023
Improving Language Plasticity via Pretraining with Active Forgetting
Improving Language Plasticity via Pretraining with Active Forgetting
Yihong Chen
Kelly Marchisio
Roberta Raileanu
David Ifeoluwa Adelani
Pontus Stenetorp
Sebastian Riedel
Mikel Artetx
KELM
AI4CE
CLL
30
24
0
03 Jul 2023
The Importance of Robust Features in Mitigating Catastrophic Forgetting
The Importance of Robust Features in Mitigating Catastrophic Forgetting
Hikmat Khan
N. Bouaynaya
Ghulam Rasool
29
7
0
29 Jun 2023
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