ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1711.05769
  4. Cited By
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
Reviewing continual learning from the perspective of human-level
  intelligence
Reviewing continual learning from the perspective of human-level intelligence
Yifan Chang
Wenbo Li
Jian Peng
Bo Tang
Yuzhi Kang
Yinjie Lei
Yuanmiao Gui
Qing Zhu
Yu Liu
Haifeng Li
108
4
0
23 Nov 2021
FFNB: Forgetting-Free Neural Blocks for Deep Continual Visual Learning
FFNB: Forgetting-Free Neural Blocks for Deep Continual Visual Learning
H. Sahbi
Haoming Zhan
AI4CE
47
2
0
22 Nov 2021
TaskDrop: A Competitive Baseline for Continual Learning of Sentiment
  Classification
TaskDrop: A Competitive Baseline for Continual Learning of Sentiment Classification
Jianping Mei
Yilun Zheng
Qianwei Zhou
Rui Yan
VLMCLL
115
6
0
05 Nov 2021
International Workshop on Continual Semi-Supervised Learning:
  Introduction, Benchmarks and Baselines
International Workshop on Continual Semi-Supervised Learning: Introduction, Benchmarks and Baselines
Ajmal Shahbaz
Salman Khan
M. Hossain
Vincenzo Lomonaco
Kevin J. Cannons
Zhan Xu
Fabio Cuzzolin
CLLMU
66
4
0
27 Oct 2021
Multi-Domain Incremental Learning for Semantic Segmentation
Multi-Domain Incremental Learning for Semantic Segmentation
Prachi Garg
Rohit Saluja
V. Balasubramanian
Chetan Arora
A. Subramanian
C. V. Jawahar
CLL
104
36
0
23 Oct 2021
HCV: Hierarchy-Consistency Verification for Incremental
  Implicitly-Refined Classification
HCV: Hierarchy-Consistency Verification for Incremental Implicitly-Refined Classification
Kai Wang
Xialei Liu
Luis Herranz
Joost van de Weijer
CLL
114
4
0
21 Oct 2021
Class Incremental Online Streaming Learning
Class Incremental Online Streaming Learning
S. Banerjee
Vinay Kumar Verma
T. Parag
M. Singh
Vinay P. Namboodiri
CLL
51
4
0
20 Oct 2021
Online Continual Learning on Class Incremental Blurry Task Configuration
  with Anytime Inference
Online Continual Learning on Class Incremental Blurry Task Configuration with Anytime Inference
Hyun-woo Koh
Dahyun Kim
Jung-Woo Ha
Jonghyun Choi
CLL
65
69
0
19 Oct 2021
FedSpeech: Federated Text-to-Speech with Continual Learning
FedSpeech: Federated Text-to-Speech with Continual Learning
Ziyue Jiang
Yi Ren
Ming Lei
Zhou Zhao
FedML
166
28
0
14 Oct 2021
Avoiding Forgetting and Allowing Forward Transfer in Continual Learning
  via Sparse Networks
Avoiding Forgetting and Allowing Forward Transfer in Continual Learning via Sparse Networks
Ghada Sokar
Decebal Constantin Mocanu
Mykola Pechenizkiy
CLL
94
8
0
11 Oct 2021
Flattening Sharpness for Dynamic Gradient Projection Memory Benefits
  Continual Learning
Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning
Danruo Deng
Guangyong Chen
Jianye Hao
Qiong Wang
Pheng-Ann Heng
CLLAAML
58
82
0
09 Oct 2021
Powerpropagation: A sparsity inducing weight reparameterisation
Powerpropagation: A sparsity inducing weight reparameterisation
Jonathan Richard Schwarz
Siddhant M. Jayakumar
Razvan Pascanu
P. Latham
Yee Whye Teh
194
55
0
01 Oct 2021
Recent Advances of Continual Learning in Computer Vision: An Overview
Recent Advances of Continual Learning in Computer Vision: An Overview
Haoxuan Qu
Hossein Rahmani
Li Xu
Bryan M. Williams
Jun Liu
VLMCLL
136
78
0
23 Sep 2021
Neural network relief: a pruning algorithm based on neural activity
Neural network relief: a pruning algorithm based on neural activity
Aleksandr Dekhovich
David Tax
M. Sluiter
Miguel A. Bessa
115
11
0
22 Sep 2021
AirLoop: Lifelong Loop Closure Detection
AirLoop: Lifelong Loop Closure Detection
Dasong Gao
Chen Wang
Sebastian Scherer
65
16
0
18 Sep 2021
Total Recall: a Customized Continual Learning Method for Neural Semantic
  Parsers
Total Recall: a Customized Continual Learning Method for Neural Semantic Parsers
Zhuang Li
Zhuang Li
Gholamreza Haffari
CLL
88
15
0
11 Sep 2021
Saliency Guided Experience Packing for Replay in Continual Learning
Saliency Guided Experience Packing for Replay in Continual Learning
Gobinda Saha
Kaushik Roy
VLMKELMCLL
136
23
0
10 Sep 2021
On robustness of generative representations against catastrophic
  forgetting
On robustness of generative representations against catastrophic forgetting
Wojciech Masarczyk
Kamil Deja
Tomasz Trzciñski
48
3
0
04 Sep 2021
Complementary Calibration: Boosting General Continual Learning with
  Collaborative Distillation and Self-Supervision
Complementary Calibration: Boosting General Continual Learning with Collaborative Distillation and Self-Supervision
Zhong Ji
Jin Li
Qiang Wang
Zhongfei Zhang
CLL
74
19
0
03 Sep 2021
Catastrophic Interference in Reinforcement Learning: A Solution Based on
  Context Division and Knowledge Distillation
Catastrophic Interference in Reinforcement Learning: A Solution Based on Context Division and Knowledge Distillation
Tiantian Zhang
Xueqian Wang
Bin Liang
Bo Yuan
OffRL
80
18
0
01 Sep 2021
Compact representations of convolutional neural networks via weight
  pruning and quantization
Compact representations of convolutional neural networks via weight pruning and quantization
Giosuè Cataldo Marinò
A. Petrini
D. Malchiodi
Marco Frasca
MQ
23
4
0
28 Aug 2021
Adaptive Explainable Continual Learning Framework for Regression
  Problems with Focus on Power Forecasts
Adaptive Explainable Continual Learning Framework for Regression Problems with Focus on Power Forecasts
Yujiang He
AI4TSCLL
53
2
0
24 Aug 2021
Online Continual Learning with Natural Distribution Shifts: An Empirical
  Study with Visual Data
Online Continual Learning with Natural Distribution Shifts: An Empirical Study with Visual Data
Zhipeng Cai
Ozan Sener
V. Koltun
CLL
65
87
0
20 Aug 2021
An Investigation of Replay-based Approaches for Continual Learning
An Investigation of Replay-based Approaches for Continual Learning
Benedikt Bagus
A. Gepperth
CLL
84
35
0
15 Aug 2021
Continual Semi-Supervised Learning through Contrastive Interpolation
  Consistency
Continual Semi-Supervised Learning through Contrastive Interpolation Consistency
Matteo Boschini
Pietro Buzzega
Lorenzo Bonicelli
Angelo Porrello
Simone Calderara
CLL
75
41
0
14 Aug 2021
Continual Neural Mapping: Learning An Implicit Scene Representation from
  Sequential Observations
Continual Neural Mapping: Learning An Implicit Scene Representation from Sequential Observations
Zike Yan
Yuxin Tian
Xuesong Shi
Ping Guo
Peng Wang
H. Zha
CLL
71
47
0
12 Aug 2021
DIODE: Dilatable Incremental Object Detection
DIODE: Dilatable Incremental Object Detection
Can Peng
Kun-li Zhao
Sam Maksoud
Tianren Wang
Brian C. Lovell
CLLObjD
121
9
0
12 Aug 2021
Discriminative Distillation to Reduce Class Confusion in Continual
  Learning
Discriminative Distillation to Reduce Class Confusion in Continual Learning
Changhong Zhong
Z. Cui
Ruixuan Wang
Weishi Zheng
57
1
0
11 Aug 2021
Dual-Tuning: Joint Prototype Transfer and Structure Regularization for
  Compatible Feature Learning
Dual-Tuning: Joint Prototype Transfer and Structure Regularization for Compatible Feature Learning
Yan Bai
J. Jiao
Shengsen Wu
Yihang Lou
Jun Liu
Xuetao Feng
Ling-yu Duan
79
7
0
06 Aug 2021
Generalized Source-free Domain Adaptation
Generalized Source-free Domain Adaptation
Shiqi Yang
Yaxing Wang
Joost van de Weijer
Luis Herranz
Shangling Jui
TTA
96
259
0
03 Aug 2021
Sequoia: A Software Framework to Unify Continual Learning Research
Sequoia: A Software Framework to Unify Continual Learning Research
Fabrice Normandin
Florian Golemo
O. Ostapenko
Pau Rodríguez López
Matthew D Riemer
...
Dominic Zhao
Timothée Lesort
Laurent Charlin
Irina Rish
Massimo Caccia
CLL
105
21
0
02 Aug 2021
Task-Specific Normalization for Continual Learning of Blind Image
  Quality Models
Task-Specific Normalization for Continual Learning of Blind Image Quality Models
Weixia Zhang
Kede Ma
Guangtao Zhai
Xiaokang Yang
VLM
105
24
0
28 Jul 2021
In Defense of the Learning Without Forgetting for Task Incremental
  Learning
In Defense of the Learning Without Forgetting for Task Incremental Learning
Guy Oren
Lior Wolf
CLL
63
16
0
26 Jul 2021
More Parameters? No Thanks!
More Parameters? No Thanks!
Zeeshan Khan
Kartheek Akella
Vinay P. Namboodiri
C. V. Jawahar
40
1
0
20 Jul 2021
Continual Learning for Task-oriented Dialogue System with Iterative
  Network Pruning, Expanding and Masking
Continual Learning for Task-oriented Dialogue System with Iterative Network Pruning, Expanding and Masking
Binzong Geng
Fajie Yuan
Qiancheng Xu
Ying Shen
Ruifeng Xu
Min Yang
CLL
82
36
0
17 Jul 2021
Kernel Continual Learning
Kernel Continual Learning
Mohammad Mahdi Derakhshani
Xiantong Zhen
Ling Shao
Cees G. M. Snoek
CLLBDLVLM
127
38
0
12 Jul 2021
A First Look at Class Incremental Learning in Deep Learning Mobile
  Traffic Classification
A First Look at Class Incremental Learning in Deep Learning Mobile Traffic Classification
Giampaolo Bovenzi
Lixuan Yang
A. Finamore
Giuseppe Aceto
D. Ciuonzo
A. Pescapé
Dario Rossi
77
23
0
09 Jul 2021
Evaluating the progress of Deep Reinforcement Learning in the real
  world: aligning domain-agnostic and domain-specific research
Evaluating the progress of Deep Reinforcement Learning in the real world: aligning domain-agnostic and domain-specific research
J. Luis
E. Crawley
B. Cameron
OffRL
77
6
0
07 Jul 2021
Split-and-Bridge: Adaptable Class Incremental Learning within a Single
  Neural Network
Split-and-Bridge: Adaptable Class Incremental Learning within a Single Neural Network
Jong-Yeong Kim
Dong-Wan Choi
CLL
66
25
0
03 Jul 2021
Co$^2$L: Contrastive Continual Learning
Co2^22L: Contrastive Continual Learning
Hyuntak Cha
Jaeho Lee
Jinwoo Shin
CLLSSLVLM
147
309
0
28 Jun 2021
Learning without Forgetting for 3D Point Cloud Objects
Learning without Forgetting for 3D Point Cloud Objects
T. Chowdhury
Mahira Jalisha
A. Cheraghian
Shafin Rahman
3DPC
80
9
0
27 Jun 2021
Iterative Network Pruning with Uncertainty Regularization for Lifelong
  Sentiment Classification
Iterative Network Pruning with Uncertainty Regularization for Lifelong Sentiment Classification
Binzong Geng
Min Yang
Fajie Yuan
Shupeng Wang
Xiang Ao
Ruifeng Xu
CLL
77
19
0
21 Jun 2021
Graceful Degradation and Related Fields
Graceful Degradation and Related Fields
J. Dymond
77
4
0
21 Jun 2021
Invariant Information Bottleneck for Domain Generalization
Invariant Information Bottleneck for Domain Generalization
Yue Liu
Yifei Shen
Yezhen Wang
Wenzhen Zhu
Colorado Reed
Jun Zhang
Dongsheng Li
Kurt Keutzer
Han Zhao
OOD
97
117
0
11 Jun 2021
Instance-Level Task Parameters: A Robust Multi-task Weighting Framework
Instance-Level Task Parameters: A Robust Multi-task Weighting Framework
Pavan Kumar Anasosalu Vasu
Shreyas Saxena
Oncel Tuzel
38
5
0
11 Jun 2021
Optimizing Reusable Knowledge for Continual Learning via Metalearning
Optimizing Reusable Knowledge for Continual Learning via Metalearning
J. Hurtado
Alain Raymond-Sáez
Alvaro Soto
CLL
89
38
0
09 Jun 2021
Ex uno plures: Splitting One Model into an Ensemble of Subnetworks
Ex uno plures: Splitting One Model into an Ensemble of Subnetworks
Zhilu Zhang
Vianne R. Gao
M. Sabuncu
UQCV
101
6
0
09 Jun 2021
Model Zoo: A Growing "Brain" That Learns Continually
Model Zoo: A Growing "Brain" That Learns Continually
Rahul Ramesh
Pratik Chaudhari
CLLFedML
111
66
0
06 Jun 2021
Can Subnetwork Structure be the Key to Out-of-Distribution
  Generalization?
Can Subnetwork Structure be the Key to Out-of-Distribution Generalization?
Dinghuai Zhang
Kartik Ahuja
Yilun Xu
Yisen Wang
Aaron Courville
OOD
99
96
0
05 Jun 2021
A study on the plasticity of neural networks
A study on the plasticity of neural networks
Tudor Berariu
Wojciech M. Czarnecki
Soham De
J. Bornschein
Samuel L. Smith
Razvan Pascanu
Claudia Clopath
CLLAI4CE
81
32
0
31 May 2021
Previous
123...111213141516
Next