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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 / 800 papers shown
Class-incremental Learning with Pre-allocated Fixed Classifiers
Class-incremental Learning with Pre-allocated Fixed ClassifiersInternational Conference on Pattern Recognition (ICPR), 2020
F. Pernici
Matteo Bruni
C. Baecchi
F. Turchini
Marco Bertini
CLL
364
42
0
16 Oct 2020
Rethinking Experience Replay: a Bag of Tricks for Continual Learning
Rethinking Experience Replay: a Bag of Tricks for Continual Learning
Pietro Buzzega
Matteo Boschini
Angelo Porrello
Simone Calderara
CLL
202
175
0
12 Oct 2020
A Theoretical Analysis of Catastrophic Forgetting through the NTK
  Overlap Matrix
A Theoretical Analysis of Catastrophic Forgetting through the NTK Overlap Matrix
T. Doan
Mehdi Abbana Bennani
Bogdan Mazoure
Guillaume Rabusseau
Pierre Alquier
CLL
443
97
0
07 Oct 2020
Are Neural Nets Modular? Inspecting Functional Modularity Through
  Differentiable Weight Masks
Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight MasksInternational Conference on Learning Representations (ICLR), 2020
Róbert Csordás
Sjoerd van Steenkiste
Jürgen Schmidhuber
342
109
0
05 Oct 2020
A Survey on Deep Neural Network Compression: Challenges, Overview, and
  Solutions
A Survey on Deep Neural Network Compression: Challenges, Overview, and Solutions
Rahul Mishra
Hari Prabhat Gupta
Tanima Dutta
152
103
0
05 Oct 2020
Remembering for the Right Reasons: Explanations Reduce Catastrophic
  Forgetting
Remembering for the Right Reasons: Explanations Reduce Catastrophic ForgettingInternational Conference on Learning Representations (ICLR), 2020
Sayna Ebrahimi
Suzanne Petryk
Akash Gokul
William Gan
Joseph E. Gonzalez
Marcus Rohrbach
Trevor Darrell
CLL
220
51
0
04 Oct 2020
Meta-Consolidation for Continual Learning
Meta-Consolidation for Continual LearningNeural Information Processing Systems (NeurIPS), 2020
K. J. Joseph
V. Balasubramanian
CLL
164
59
0
01 Oct 2020
KSM: Fast Multiple Task Adaption via Kernel-wise Soft Mask Learning
KSM: Fast Multiple Task Adaption via Kernel-wise Soft Mask LearningComputer Vision and Pattern Recognition (CVPR), 2020
Li Yang
Zhezhi He
Junshan Zhang
Deliang Fan
AAMLCLL
190
13
0
11 Sep 2020
Compression-aware Continual Learning using Singular Value Decomposition
Compression-aware Continual Learning using Singular Value Decomposition
Varigonda Pavan Teja
Priyadarshini Panda
CLL
146
0
0
03 Sep 2020
Lifelong Object Detection
Lifelong Object Detection
Wang Zhou
Shiyu Chang
Norma Sosa
Hendrik Hamann
David D. Cox
CLLObjD
194
46
0
02 Sep 2020
Continual Prototype Evolution: Learning Online from Non-Stationary Data
  Streams
Continual Prototype Evolution: Learning Online from Non-Stationary Data StreamsIEEE International Conference on Computer Vision (ICCV), 2020
Matthias De Lange
Tinne Tuytelaars
CLL
466
243
0
02 Sep 2020
A Survey on Negative Transfer
A Survey on Negative TransferIEEE/CAA Journal of Automatica Sinica (JCAS), 2020
Wen Zhang
Lingfei Deng
Lei Zhang
Dongrui Wu
AAML
444
308
0
02 Sep 2020
Online Class-Incremental Continual Learning with Adversarial Shapley
  Value
Online Class-Incremental Continual Learning with Adversarial Shapley Value
Dongsub Shim
Zheda Mai
Jihwan Jeong
Scott Sanner
Hyunwoo J. Kim
Jongseong Jang
CLL
361
6
0
31 Aug 2020
Initial Classifier Weights Replay for Memoryless Class Incremental
  Learning
Initial Classifier Weights Replay for Memoryless Class Incremental LearningBritish Machine Vision Conference (BMVC), 2020
Eden Belouadah
Adrian Daniel Popescu
Ioannis Kanellos
CLL
188
24
0
31 Aug 2020
Learning to Balance Specificity and Invariance for In and Out of Domain
  Generalization
Learning to Balance Specificity and Invariance for In and Out of Domain GeneralizationEuropean Conference on Computer Vision (ECCV), 2020
Prithvijit Chattopadhyay
Yogesh Balaji
Judy Hoffman
OOD
276
225
0
28 Aug 2020
Active Class Incremental Learning for Imbalanced Datasets
Active Class Incremental Learning for Imbalanced Datasets
Eden Belouadah
Adrian Daniel Popescu
Umang Aggarwal
Léo Saci
CLL
159
14
0
25 Aug 2020
GraphSAIL: Graph Structure Aware Incremental Learning for Recommender
  Systems
GraphSAIL: Graph Structure Aware Incremental Learning for Recommender Systems
Yishi Xu
Yingxue Zhang
Wei Guo
Huifeng Guo
Ruiming Tang
Mark Coates
CLL
231
96
0
25 Aug 2020
Online Continual Learning under Extreme Memory Constraints
Online Continual Learning under Extreme Memory Constraints
Enrico Fini
Stéphane Lathuilière
E. Sangineto
Moin Nabi
Elisa Ricci
CLL
273
73
0
04 Aug 2020
Shape Adaptor: A Learnable Resizing Module
Shape Adaptor: A Learnable Resizing Module
Shikun Liu
Zhe Lin
Yilin Wang
Jianming Zhang
Federico Perazzi
Edward Johns
238
9
0
03 Aug 2020
Drinking from a Firehose: Continual Learning with Web-scale Natural
  Language
Drinking from a Firehose: Continual Learning with Web-scale Natural LanguageIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Hexiang Hu
Ozan Sener
Fei Sha
V. Koltun
CLL
224
28
0
18 Jul 2020
A Biologically Plausible Audio-Visual Integration Model for Continual
  Learning
A Biologically Plausible Audio-Visual Integration Model for Continual LearningIEEE International Joint Conference on Neural Network (IJCNN), 2020
Wenjie Chen
Fengtong Du
Ye Wang
Lihong Cao
CLL
124
0
0
17 Jul 2020
SpaceNet: Make Free Space For Continual Learning
SpaceNet: Make Free Space For Continual LearningNeurocomputing (Neurocomputing), 2020
Ghada Sokar
Decebal Constantin Mocanu
Mykola Pechenizkiy
CLL
229
85
0
15 Jul 2020
Batch-level Experience Replay with Review for Continual Learning
Batch-level Experience Replay with Review for Continual Learning
Zheda Mai
Hyunwoo J. Kim
Jihwan Jeong
Scott Sanner
VLMCLL
113
18
0
11 Jul 2020
Continual Learning: Tackling Catastrophic Forgetting in Deep Neural
  Networks with Replay Processes
Continual Learning: Tackling Catastrophic Forgetting in Deep Neural Networks with Replay Processes
Timothée Lesort
CLL
369
24
0
01 Jul 2020
MgSvF: Multi-Grained Slow vs. Fast Framework for Few-Shot
  Class-Incremental Learning
MgSvF: Multi-Grained Slow vs. Fast Framework for Few-Shot Class-Incremental Learning
Hanbin Zhao
Yongjian Fu
Mintong Kang
Qi Tian
Leilei Gan
Xi Li
CLL
490
135
0
28 Jun 2020
Supermasks in Superposition
Supermasks in Superposition
Mitchell Wortsman
Vivek Ramanujan
Rosanne Liu
Aniruddha Kembhavi
Mohammad Rastegari
J. Yosinski
Ali Farhadi
SSLCLL
540
329
0
26 Jun 2020
Understanding the Role of Training Regimes in Continual Learning
Understanding the Role of Training Regimes in Continual LearningNeural Information Processing Systems (NeurIPS), 2020
Seyed Iman Mirzadeh
Mehrdad Farajtabar
Razvan Pascanu
H. Ghasemzadeh
CLL
261
263
0
12 Jun 2020
Self-Supervised Learning Aided Class-Incremental Lifelong Learning
Self-Supervised Learning Aided Class-Incremental Lifelong Learning
Song Zhang
Gehui Shen
Jinsong Huang
Zhihong Deng
CLL
162
14
0
10 Jun 2020
Passive Batch Injection Training Technique: Boosting Network Performance
  by Injecting Mini-Batches from a different Data Distribution
Passive Batch Injection Training Technique: Boosting Network Performance by Injecting Mini-Batches from a different Data Distribution
Pravendra Singh
Pratik Mazumder
Vinay P. Namboodiri
130
0
0
08 Jun 2020
Looking back to lower-level information in few-shot learning
Looking back to lower-level information in few-shot learning
Zhongjie Yu
S. Raschka
185
5
0
27 May 2020
Importance Driven Continual Learning for Segmentation Across Domains
Importance Driven Continual Learning for Segmentation Across Domains
S. Özgün
Anne-Marie Rickmann
Abhijit Guha Roy
Christian Wachinger
OODCLL
162
34
0
30 Apr 2020
Reducing catastrophic forgetting with learning on synthetic data
Reducing catastrophic forgetting with learning on synthetic data
Wojciech Masarczyk
Ivona Tautkute
DD
196
40
0
29 Apr 2020
Recall and Learn: Fine-tuning Deep Pretrained Language Models with Less
  Forgetting
Recall and Learn: Fine-tuning Deep Pretrained Language Models with Less ForgettingConference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Sanyuan Chen
Yutai Hou
Yiming Cui
Wanxiang Che
Ting Liu
Xiangzhan Yu
KELMCLL
307
256
0
27 Apr 2020
Dropout as an Implicit Gating Mechanism For Continual Learning
Dropout as an Implicit Gating Mechanism For Continual Learning
Seyed Iman Mirzadeh
Mehrdad Farajtabar
H. Ghasemzadeh
CLL
152
45
0
24 Apr 2020
Few-Shot Class-Incremental Learning
Few-Shot Class-Incremental Learning
Xiaoyu Tao
Xiaopeng Hong
Xinyuan Chang
Songlin Dong
Xing Wei
Yihong Gong
CLL
269
498
0
23 Apr 2020
Generative Feature Replay For Class-Incremental Learning
Generative Feature Replay For Class-Incremental Learning
Xialei Liu
Chenshen Wu
Mikel Menta
Luis Herranz
Bogdan Raducanu
Andrew D. Bagdanov
Shangling Jui
Joost van de Weijer
CLL
211
172
0
20 Apr 2020
Continual Learning with Extended Kronecker-factored Approximate
  Curvature
Continual Learning with Extended Kronecker-factored Approximate CurvatureComputer Vision and Pattern Recognition (CVPR), 2020
Janghyeon Lee
H. Hong
Donggyu Joo
Junmo Kim
CLL
224
68
0
16 Apr 2020
Dark Experience for General Continual Learning: a Strong, Simple
  Baseline
Dark Experience for General Continual Learning: a Strong, Simple BaselineNeural Information Processing Systems (NeurIPS), 2020
Pietro Buzzega
Matteo Boschini
Angelo Porrello
Davide Abati
Simone Calderara
BDLCLL
396
1,136
0
15 Apr 2020
Defining Benchmarks for Continual Few-Shot Learning
Defining Benchmarks for Continual Few-Shot Learning
Antreas Antoniou
Massimiliano Patacchiola
Mateusz Ochal
Amos Storkey
197
41
0
15 Apr 2020
Semantic Drift Compensation for Class-Incremental Learning
Semantic Drift Compensation for Class-Incremental LearningComputer Vision and Pattern Recognition (CVPR), 2020
Lu Yu
Bartlomiej Twardowski
Xialei Liu
Luis Herranz
Kai Wang
Yongmei Cheng
Shangling Jui
Joost van de Weijer
CLL
362
381
0
01 Apr 2020
Conditional Channel Gated Networks for Task-Aware Continual Learning
Conditional Channel Gated Networks for Task-Aware Continual LearningComputer Vision and Pattern Recognition (CVPR), 2020
Davide Abati
Jakub M. Tomczak
Tijmen Blankevoort
Simone Calderara
Rita Cucchiara
B. Bejnordi
CLL
266
199
0
31 Mar 2020
Overcoming Catastrophic Forgetting in Graph Neural Networks with
  Experience Replay
Overcoming Catastrophic Forgetting in Graph Neural Networks with Experience Replay
Fan Zhou
Chengtai Cao
CLL
183
10
0
22 Mar 2020
Adversarial Continual Learning
Adversarial Continual LearningEuropean Conference on Computer Vision (ECCV), 2020
Sayna Ebrahimi
Franziska Meier
Roberto Calandra
Trevor Darrell
Marcus Rohrbach
CLLVLM
413
221
0
21 Mar 2020
Incremental Object Detection via Meta-Learning
Incremental Object Detection via Meta-LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
K. J. Joseph
Jathushan Rajasegaran
Salman Khan
Fahad Shahbaz Khan
V. Balasubramanian
ObjDCLLVLM
389
119
0
17 Mar 2020
Residual Continual Learning
Residual Continual LearningAAAI Conference on Artificial Intelligence (AAAI), 2020
Janghyeon Lee
Donggyu Joo
H. Hong
Junmo Kim
CLL
192
25
0
17 Feb 2020
Multi-Task Incremental Learning for Object Detection
Multi-Task Incremental Learning for Object Detection
Xialei Liu
Hao Yang
Avinash Ravichandran
Rahul Bhotika
Stefano Soatto
ObjDVLMCLL
207
13
0
13 Feb 2020
Modeling the Background for Incremental Learning in Semantic
  Segmentation
Modeling the Background for Incremental Learning in Semantic SegmentationComputer Vision and Pattern Recognition (CVPR), 2020
Fabio Cermelli
Goran Frehse
Samuel Rota Buló
Elisa Ricci
Barbara Caputo
CLLVLM
252
338
0
03 Feb 2020
Ternary Feature Masks: zero-forgetting for task-incremental learning
Ternary Feature Masks: zero-forgetting for task-incremental learning
Marc Masana
Tinne Tuytelaars
Joost van de Weijer
CLL
140
30
0
23 Jan 2020
SPACE: Structured Compression and Sharing of Representational Space for
  Continual Learning
SPACE: Structured Compression and Sharing of Representational Space for Continual LearningIEEE Access (IEEE Access), 2020
Gobinda Saha
Isha Garg
Aayush Ankit
Kaushik Roy
CLL
269
25
0
23 Jan 2020
ScaIL: Classifier Weights Scaling for Class Incremental Learning
ScaIL: Classifier Weights Scaling for Class Incremental LearningIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2020
Eden Belouadah
Adrian Daniel Popescu
CLL
194
89
0
16 Jan 2020
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