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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
Efficient and robust multi-task learning in the brain with modular
  latent primitives
Efficient and robust multi-task learning in the brain with modular latent primitives
Christian David Márton
Léo Gagnon
Guillaume Lajoie
Kanaka Rajan
68
6
0
28 May 2021
Neural Network Training Using $\ell_1$-Regularization and Bi-fidelity
  Data
Neural Network Training Using ℓ1\ell_1ℓ1​-Regularization and Bi-fidelity Data
Subhayan De
Alireza Doostan
71
25
0
27 May 2021
Continual World: A Robotic Benchmark For Continual Reinforcement
  Learning
Continual World: A Robotic Benchmark For Continual Reinforcement Learning
Maciej Wołczyk
Michal Zajkac
Razvan Pascanu
Lukasz Kuciñski
Piotr Milo's
CLLOffRL
79
99
0
23 May 2021
ACAE-REMIND for Online Continual Learning with Compressed Feature Replay
ACAE-REMIND for Online Continual Learning with Compressed Feature Replay
Kai Wang
Luis Herranz
Joost van de Weijer
CLL
117
14
0
18 May 2021
Shared and Private VAEs with Generative Replay for Continual Learning
Shared and Private VAEs with Generative Replay for Continual Learning
Subhankar Ghosh
CLLBDL
31
0
0
17 May 2021
Continual Learning via Bit-Level Information Preserving
Continual Learning via Bit-Level Information Preserving
Yujun Shi
Li-xin Yuan
Yunpeng Chen
Jiashi Feng
CLL
91
43
0
10 May 2021
Schematic Memory Persistence and Transience for Efficient and Robust
  Continual Learning
Schematic Memory Persistence and Transience for Efficient and Robust Continual Learning
Yuyang Gao
Giorgio Ascoli
Liang Zhao
61
5
0
05 May 2021
Preserving Earlier Knowledge in Continual Learning with the Help of All
  Previous Feature Extractors
Preserving Earlier Knowledge in Continual Learning with the Help of All Previous Feature Extractors
Zhuoyun Li
Changhong Zhong
Sijia Liu
Ruixuan Wang
Weishi Zheng
CLL
61
30
0
28 Apr 2021
How Well Does Self-Supervised Pre-Training Perform with Streaming Data?
How Well Does Self-Supervised Pre-Training Perform with Streaming Data?
Dapeng Hu
Shipeng Yan
Qizhengqiu Lu
Lanqing Hong
Hailin Hu
Yifan Zhang
Zhenguo Li
Xinchao Wang
Jiashi Feng
123
29
0
25 Apr 2021
Continual Learning with Fully Probabilistic Models
Continual Learning with Fully Probabilistic Models
Benedikt Pfülb
A. Gepperth
Benedikt Bagus
BDL
61
8
0
19 Apr 2021
Overcoming Catastrophic Forgetting with Gaussian Mixture Replay
Overcoming Catastrophic Forgetting with Gaussian Mixture Replay
Benedikt Pfülb
A. Gepperth
VLMBDL
45
13
0
19 Apr 2021
On Learning the Geodesic Path for Incremental Learning
On Learning the Geodesic Path for Incremental Learning
Christian Simon
Piotr Koniusz
Mehrtash Harandi
CLL
84
123
0
17 Apr 2021
Rehearsal revealed: The limits and merits of revisiting samples in
  continual learning
Rehearsal revealed: The limits and merits of revisiting samples in continual learning
Eli Verwimp
Matthias De Lange
Tinne Tuytelaars
CLL
62
108
0
15 Apr 2021
Continual Learning for Text Classification with Information
  Disentanglement Based Regularization
Continual Learning for Text Classification with Information Disentanglement Based Regularization
Yufan Huang
Yanzhe Zhang
Jiaao Chen
Xuezhi Wang
Diyi Yang
CLL
68
113
0
12 Apr 2021
Synthesized Trust Learning from Limited Human Feedback for
  Human-Load-Reduced Multi-Robot Deployments
Synthesized Trust Learning from Limited Human Feedback for Human-Load-Reduced Multi-Robot Deployments
Yijiang Pang
Chao Huang
R. Liu
21
2
0
07 Apr 2021
Learnable Expansion-and-Compression Network for Few-shot
  Class-Incremental Learning
Learnable Expansion-and-Compression Network for Few-shot Class-Incremental Learning
Boyu Yang
Mingbao Lin
Binghao Liu
Mengying Fu
Chang-rui Liu
Rongrong Ji
QiXiang Ye
CLL
60
16
0
06 Apr 2021
Towards Lifelong Learning of End-to-end ASR
Towards Lifelong Learning of End-to-end ASR
Heng-Jui Chang
Hung-yi Lee
Lin-Shan Lee
KELMCLL
94
34
0
04 Apr 2021
Half-Real Half-Fake Distillation for Class-Incremental Semantic
  Segmentation
Half-Real Half-Fake Distillation for Class-Incremental Semantic Segmentation
Zilong Huang
Wentian Hao
Xinggang Wang
Mingyuan Tao
Jianqiang Huang
Wenyu Liu
Xiansheng Hua
CLL
52
12
0
02 Apr 2021
DER: Dynamically Expandable Representation for Class Incremental
  Learning
DER: Dynamically Expandable Representation for Class Incremental Learning
Shipeng Yan
Jiangwei Xie
Xuming He
CLL
71
462
0
31 Mar 2021
Self-Supervised Training Enhances Online Continual Learning
Self-Supervised Training Enhances Online Continual Learning
Jhair Gallardo
Tyler L. Hayes
Christopher Kanan
CLL
103
68
0
25 Mar 2021
Boosting Binary Masks for Multi-Domain Learning through Affine
  Transformations
Boosting Binary Masks for Multi-Domain Learning through Affine Transformations
Massimiliano Mancini
Elisa Ricci
Barbara Caputo
Samuel Rota Buló
67
7
0
25 Mar 2021
Efficient Feature Transformations for Discriminative and Generative
  Continual Learning
Efficient Feature Transformations for Discriminative and Generative Continual Learning
Vinay Kumar Verma
Kevin J. Liang
Nikhil Mehta
Piyush Rai
Lawrence Carin
CLL
106
78
0
25 Mar 2021
ZS-IL: Looking Back on Learned Experiences For Zero-Shot Incremental
  Learning
ZS-IL: Looking Back on Learned Experiences For Zero-Shot Incremental Learning
Mozhgan Pourkeshavarz
Mohammad Sabokrou
CLLVLM
33
0
0
22 Mar 2021
Supervised Contrastive Replay: Revisiting the Nearest Class Mean
  Classifier in Online Class-Incremental Continual Learning
Supervised Contrastive Replay: Revisiting the Nearest Class Mean Classifier in Online Class-Incremental Continual Learning
Zheda Mai
Ruiwen Li
Hyunwoo J. Kim
Scott Sanner
CLL
99
188
0
22 Mar 2021
Gradient Projection Memory for Continual Learning
Gradient Projection Memory for Continual Learning
Gobinda Saha
Isha Garg
Kaushik Roy
VLMCLL
89
292
0
17 Mar 2021
Continual Semantic Segmentation via Repulsion-Attraction of Sparse and
  Disentangled Latent Representations
Continual Semantic Segmentation via Repulsion-Attraction of Sparse and Disentangled Latent Representations
Umberto Michieli
Pietro Zanuttigh
CLL
105
140
0
10 Mar 2021
CAM-GAN: Continual Adaptation Modules for Generative Adversarial
  Networks
CAM-GAN: Continual Adaptation Modules for Generative Adversarial Networks
Sakshi Varshney
Vinay Kumar Verma
K. SrijithP.
Lawrence Carin
Piyush Rai
GANCLL
69
21
0
06 Mar 2021
Towards Open World Object Detection
Towards Open World Object Detection
K. J. Joseph
Salman Khan
Fahad Shahbaz Khan
V. Balasubramanian
ObjD
116
464
0
03 Mar 2021
Distilling Causal Effect of Data in Class-Incremental Learning
Distilling Causal Effect of Data in Class-Incremental Learning
Xinting Hu
Kaihua Tang
Chunyan Miao
Xiansheng Hua
Hanwang Zhang
CML
268
177
0
02 Mar 2021
Few-Shot Lifelong Learning
Few-Shot Lifelong Learning
Pratik Mazumder
Pravendra Singh
Piyush Rai
CLL
80
122
0
01 Mar 2021
Continual Learning for Blind Image Quality Assessment
Continual Learning for Blind Image Quality Assessment
Weixia Zhang
Dingquan Li
Chao Ma
Guangtao Zhai
Xiaokang Yang
Kede Ma
VLM
90
90
0
19 Feb 2021
GP-Tree: A Gaussian Process Classifier for Few-Shot Incremental Learning
GP-Tree: A Gaussian Process Classifier for Few-Shot Incremental Learning
Idan Achituve
Aviv Navon
Yochai Yemini
Gal Chechik
Ethan Fetaya
GP
64
34
0
15 Feb 2021
A linearized framework and a new benchmark for model selection for
  fine-tuning
A linearized framework and a new benchmark for model selection for fine-tuning
Aditya Deshpande
Alessandro Achille
Avinash Ravichandran
Hao Li
Luca Zancato
Charless C. Fowlkes
Rahul Bhotika
Stefano Soatto
Pietro Perona
ALM
182
49
0
29 Jan 2021
Self-Attention Meta-Learner for Continual Learning
Self-Attention Meta-Learner for Continual Learning
Ghada Sokar
Decebal Constantin Mocanu
Mykola Pechenizkiy
CLL
53
11
0
28 Jan 2021
Online Continual Learning in Image Classification: An Empirical Survey
Online Continual Learning in Image Classification: An Empirical Survey
Zheda Mai
Ruiwen Li
Jihwan Jeong
David Quispe
Hyunwoo J. Kim
Scott Sanner
VLMCLL
140
422
0
25 Jan 2021
Learning Invariant Representation for Continual Learning
Learning Invariant Representation for Continual Learning
Ghada Sokar
Decebal Constantin Mocanu
Mykola Pechenizkiy
BDLCLL
69
16
0
15 Jan 2021
IIRC: Incremental Implicitly-Refined Classification
IIRC: Incremental Implicitly-Refined Classification
Mohamed Abdelsalam
Mojtaba Faramarzi
Shagun Sodhani
A. Chandar
CLL
69
29
0
23 Dec 2020
Finding Sparse Structures for Domain Specific Neural Machine Translation
Finding Sparse Structures for Domain Specific Neural Machine Translation
Jianze Liang
Chengqi Zhao
Mingxuan Wang
Xipeng Qiu
Lei Li
CLL
73
4
0
19 Dec 2020
Continual Lifelong Learning in Natural Language Processing: A Survey
Continual Lifelong Learning in Natural Language Processing: A Survey
Magdalena Biesialska
Katarzyna Biesialska
Marta R. Costa-jussá
KELMCLL
100
222
0
17 Dec 2020
Towards Recognizing New Semantic Concepts in New Visual Domains
Towards Recognizing New Semantic Concepts in New Visual Domains
Massimiliano Mancini
OOD
141
0
0
16 Dec 2020
Class-incremental Learning with Rectified Feature-Graph Preservation
Class-incremental Learning with Rectified Feature-Graph Preservation
Cheng-Hsun Lei
Yi-Hsin
Wen-Hsiao Peng
Wei-Chen Chiu
CLL
66
4
0
15 Dec 2020
Learn-Prune-Share for Lifelong Learning
Learn-Prune-Share for Lifelong Learning
Zifeng Wang
T. Jian
Kaushik R. Chowdhury
Yanzhi Wang
Jennifer Dy
Stratis Ioannidis
KELMCLL
71
36
0
13 Dec 2020
Overcoming Catastrophic Forgetting in Graph Neural Networks
Overcoming Catastrophic Forgetting in Graph Neural Networks
Huihui Liu
Yiding Yang
Xinchao Wang
229
120
0
10 Dec 2020
Self-Training for Class-Incremental Semantic Segmentation
Self-Training for Class-Incremental Semantic Segmentation
Lu Yu
Xialei Liu
Joost van de Weijer
CLLSSL
87
57
0
06 Dec 2020
Driver Glance Classification In-the-wild: Towards Generalization Across
  Domains and Subjects
Driver Glance Classification In-the-wild: Towards Generalization Across Domains and Subjects
Sandipan Banerjee
Ajjen Joshi
Jay Turcot
B. Reimer
Taniya Mishra
79
2
0
05 Dec 2020
BinPlay: A Binary Latent Autoencoder for Generative Replay Continual
  Learning
BinPlay: A Binary Latent Autoencoder for Generative Replay Continual Learning
Kamil Deja
Pawel Wawrzyñski
Daniel Marczak
Wojciech Masarczyk
Tomasz Trzciñski
SyDa
58
9
0
25 Nov 2020
Overcoming Catastrophic Forgetting via Direction-Constrained
  Optimization
Overcoming Catastrophic Forgetting via Direction-Constrained Optimization
Yunfei Teng
A. Choromańska
Murray Campbell
Songtao Lu
Parikshit Ram
L. Horesh
CLL
77
2
0
25 Nov 2020
A Comprehensive Study of Class Incremental Learning Algorithms for
  Visual Tasks
A Comprehensive Study of Class Incremental Learning Algorithms for Visual Tasks
Eden Belouadah
Adrian Daniel Popescu
Ioannis Kanellos
CLL
102
221
0
03 Nov 2020
Class-incremental learning: survey and performance evaluation on image
  classification
Class-incremental learning: survey and performance evaluation on image classification
Marc Masana
Xialei Liu
Bartlomiej Twardowski
Mikel Menta
Andrew D. Bagdanov
Joost van de Weijer
CLL
85
701
0
28 Oct 2020
A Study on Efficiency in Continual Learning Inspired by Human Learning
A Study on Efficiency in Continual Learning Inspired by Human Learning
Philip J. Ball
Yingzhen Li
A. Lamb
Cheng Zhang
CLL
40
2
0
28 Oct 2020
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