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PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning
v1v2 (latest)

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

15 November 2017
Arun Mallya
Svetlana Lazebnik
    CLL
ArXiv (abs)PDFHTMLGithub (233★)

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

50 / 751 papers shown
Title
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
80
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
CLIPVLM
65
11
0
02 Aug 2023
Subspace Distillation for Continual Learning
Subspace Distillation for Continual Learning
Kaushik Roy
Christian Simon
Peyman Moghadam
Mehrtash Harandi
CLL
27
11
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
73
9
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
83
4
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
101
25
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-Hsuan Yang
Laurent Itti
CLL
95
12
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
69
15
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
CLLVLM
109
13
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
83
0
0
17 Jul 2023
Multi-Domain Learning with Modulation Adapters
Multi-Domain Learning with Modulation Adapters
E. Iakovleva
Alahari Karteek
Jakob Verbeek
65
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
145
18
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
LRMMoMeCLL
84
17
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
KELMMU
102
53
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
CLLBDL
58
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
KELMAI4CECLL
122
27
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
77
7
0
29 Jun 2023
Learning to Modulate pre-trained Models in RL
Learning to Modulate pre-trained Models in RL
Thomas Schmied
M. Hofmarcher
Fabian Paischer
Razvan Pascanu
Sepp Hochreiter
CLLOffRL
105
18
0
26 Jun 2023
Parameter-Level Soft-Masking for Continual Learning
Parameter-Level Soft-Masking for Continual Learning
Tatsuya Konishi
M. Kurokawa
C. Ono
Zixuan Ke
Gyuhak Kim
Bin Liu
CLL
74
41
0
26 Jun 2023
Learnability and Algorithm for Continual Learning
Learnability and Algorithm for Continual Learning
Gyuhak Kim
Changnan Xiao
Tatsuya Konishi
Bin Liu
CLL
103
30
0
22 Jun 2023
Class-Incremental Learning based on Label Generation
Class-Incremental Learning based on Label Generation
Yijia Shao
Yiduo Guo
Dongyan Zhao
Bin Liu
CLL
109
16
0
22 Jun 2023
Continual Learners are Incremental Model Generalizers
Continual Learners are Incremental Model Generalizers
Jaehong Yoon
Sung Ju Hwang
Yu Cao
CLL
86
5
0
21 Jun 2023
TADIL: Task-Agnostic Domain-Incremental Learning through Task-ID
  Inference using Transformer Nearest-Centroid Embeddings
TADIL: Task-Agnostic Domain-Incremental Learning through Task-ID Inference using Transformer Nearest-Centroid Embeddings
Gusseppe Bravo Rocca
Peini Liu
Jordi Guitart
Ajay Dholakia
David Ellison
64
1
0
21 Jun 2023
Kalman Filter for Online Classification of Non-Stationary Data
Kalman Filter for Online Classification of Non-Stationary Data
Michalis K. Titsias
Alexandre Galashov
Amal Rannen-Triki
Razvan Pascanu
Yee Whye Teh
J. Bornschein
CLLBDL
124
10
0
14 Jun 2023
A Probabilistic Framework for Modular Continual Learning
A Probabilistic Framework for Modular Continual Learning
Lazar Valkov
Akash Srivastava
Swarat Chaudhuri
Charles Sutton
CLL
46
1
0
11 Jun 2023
One-Shot Machine Unlearning with Mnemonic Code
One-Shot Machine Unlearning with Mnemonic Code
Tomoya Yamashita
Masanori Yamada
Takashi Shibata
MU
32
2
0
09 Jun 2023
Fast Context Adaptation in Cost-Aware Continual Learning
Fast Context Adaptation in Cost-Aware Continual Learning
Seyyidahmed Lahmer
Federico Mason
Federico Chiariotti
Andrea Zanella
68
1
0
06 Jun 2023
LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning
LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning
Bo Liu
Yifeng Zhu
Chongkai Gao
Yihao Feng
Qian Liu
Yuke Zhu
Peter Stone
CLL
188
157
0
05 Jun 2023
Evolving Knowledge Mining for Class Incremental Segmentation
Evolving Knowledge Mining for Class Incremental Segmentation
Zhihe Lu
Shuicheng Yan
Xinchao Wang
CLL
80
0
0
03 Jun 2023
Task Relation-aware Continual User Representation Learning
Task Relation-aware Continual User Representation Learning
Sein Kim
Namkyeong Lee
Donghyun Kim
Min-Chul Yang
Chanyoung Park
CLL
73
8
0
01 Jun 2023
Approximate Bayesian Class-Conditional Models under Continuous
  Representation Shift
Approximate Bayesian Class-Conditional Models under Continuous Representation Shift
Thomas L. Lee
Amos Storkey
BDL
86
4
0
30 May 2023
Sit Back and Relax: Learning to Drive Incrementally in All Weather
  Conditions
Sit Back and Relax: Learning to Drive Incrementally in All Weather Conditions
Stefan Leitner
M. Jehanzeb Mirza
Wei Lin
Jakub Micorek
Marc Masana
Mateusz Koziñski
Horst Possegger
Horst Bischof
CLL
88
2
0
30 May 2023
Continual Task Allocation in Meta-Policy Network via Sparse Prompting
Continual Task Allocation in Meta-Policy Network via Sparse Prompting
Yijun Yang
Tianyi Zhou
Jing Jiang
Guodong Long
Yuhui Shi
CLLOffRL
95
9
0
29 May 2023
Backdoor Attacks Against Incremental Learners: An Empirical Evaluation
  Study
Backdoor Attacks Against Incremental Learners: An Empirical Evaluation Study
Yiqi Zhong
Xianming Liu
Deming Zhai
Junjun Jiang
Xiang Ji
AAML
37
2
0
28 May 2023
Mitigating Catastrophic Forgetting in Long Short-Term Memory Networks
Mitigating Catastrophic Forgetting in Long Short-Term Memory Networks
Ketaki Joshi
Raghavendra Pradyumna Pothukuchi
Andre Wibisono
A. Bhattacharjee
CLL
26
0
0
26 May 2023
Batch Model Consolidation: A Multi-Task Model Consolidation Framework
Batch Model Consolidation: A Multi-Task Model Consolidation Framework
Iordanis Fostiropoulos
Jiaye Zhu
Laurent Itti
MoMeCLL
58
3
0
25 May 2023
Condensed Prototype Replay for Class Incremental Learning
Condensed Prototype Replay for Class Incremental Learning
Jiangtao Kong
Zhenyu Zong
Dinesh Manocha
Huajie Shao
78
2
0
25 May 2023
Camera-Incremental Object Re-Identification with Identity Knowledge
  Evolution
Camera-Incremental Object Re-Identification with Identity Knowledge Evolution
Hantao Yao
Lu Yu
Jifei Luo
Changsheng Xu
91
0
0
25 May 2023
OER: Offline Experience Replay for Continual Offline Reinforcement
  Learning
OER: Offline Experience Replay for Continual Offline Reinforcement Learning
Sibo Gai
Donglin Wang
Li He
CLLOffRL
109
3
0
23 May 2023
InstructAlign: High-and-Low Resource Language Alignment via Continual
  Crosslingual Instruction Tuning
InstructAlign: High-and-Low Resource Language Alignment via Continual Crosslingual Instruction Tuning
Samuel Cahyawijaya
Holy Lovenia
Tiezheng Yu
Willy Chung
Pascale Fung
ALM
91
15
0
23 May 2023
Task Arithmetic in the Tangent Space: Improved Editing of Pre-Trained
  Models
Task Arithmetic in the Tangent Space: Improved Editing of Pre-Trained Models
Guillermo Ortiz-Jiménez
Alessandro Favero
P. Frossard
MoMe
163
125
0
22 May 2023
Lifelong Language Pretraining with Distribution-Specialized Experts
Lifelong Language Pretraining with Distribution-Specialized Experts
Wuyang Chen
Yan-Quan Zhou
Nan Du
Yanping Huang
James Laudon
Zhiwen Chen
Claire Cu
KELM
111
52
0
20 May 2023
AttriCLIP: A Non-Incremental Learner for Incremental Knowledge Learning
AttriCLIP: A Non-Incremental Learner for Incremental Knowledge Learning
Runqi Wang
Xiaoyue Duan
Guoliang Kang
Jianzhuang Liu
Shaohui Lin
Songcen Xu
Jinhu Lv
Baochang Zhang
CLLVLM
67
36
0
19 May 2023
Mode-Aware Continual Learning for Conditional Generative Adversarial
  Networks
Mode-Aware Continual Learning for Conditional Generative Adversarial Networks
Cat P. Le
Juncheng Dong
Ahmed Aloui
Vahid Tarokh
TTAGAN
71
1
0
19 May 2023
Sharing Lifelong Reinforcement Learning Knowledge via Modulating Masks
Sharing Lifelong Reinforcement Learning Knowledge via Modulating Masks
Saptarshi Nath
Christos Peridis
Eseoghene Ben-Iwhiwhu
Xinran Liu
Shirin Dora
Cong Liu
Soheil Kolouri
Andrea Soltoggio
CLL
76
10
0
18 May 2023
Schema-adaptable Knowledge Graph Construction
Schema-adaptable Knowledge Graph Construction
Hongbin Ye
Honghao Gui
Xin Xu
Xi Chen
Huajun Chen
Ningyu Zhang
112
4
0
15 May 2023
RepCL: Exploring Effective Representation for Continual Text
  Classification
RepCL: Exploring Effective Representation for Continual Text Classification
Yifan Song
Peiyi Wang
Dawei Zhu
Tianyu Liu
Zhifang Sui
Sujian Li
CLL
89
1
0
12 May 2023
Improving Continual Relation Extraction by Distinguishing Analogous
  Semantics
Improving Continual Relation Extraction by Distinguishing Analogous Semantics
Wenzheng Zhao
Yuanning Cui
Wei Hu
CLL
66
20
0
11 May 2023
Domain Incremental Lifelong Learning in an Open World
Domain Incremental Lifelong Learning in an Open World
Yinpei Dai
Hao Lang
Yinhe Zheng
Yu Bowen
Fei Huang
Yongbin Li
CLL
70
5
0
11 May 2023
DOCTOR: A Multi-Disease Detection Continual Learning Framework Based on
  Wearable Medical Sensors
DOCTOR: A Multi-Disease Detection Continual Learning Framework Based on Wearable Medical Sensors
Chia-Hao Li
N. Jha
121
8
0
09 May 2023
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