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

15 November 2017

Arun Mallya

Svetlana Lazebnik

CLL

ArXiv (abs)PDF HTML Github (233★)

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

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Title
What is Wrong with Continual Learning in Medical Image Segmentation? Camila González Nick Lemke G. Sakas Anirban Mukhopadhyay CLL 53 31 0 21 Oct 2020
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Rethinking Experience Replay: a Bag of Tricks for Continual Learning Pietro Buzzega Matteo Boschini Angelo Porrello Simone Calderara CLL 61 154 0 12 Oct 2020
A Theoretical Analysis of Catastrophic Forgetting through the NTK Overlap Matrix T. Doan Mehdi Abbana Bennani Bogdan Mazoure Guillaume Rabusseau Pierre Alquier CLL 88 86 0 07 Oct 2020
Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks Róbert Csordás Sjoerd van Steenkiste Jürgen Schmidhuber 104 97 0 05 Oct 2020
A Survey on Deep Neural Network Compression: Challenges, Overview, and Solutions Rahul Mishra Hari Prabhat Gupta Tanima Dutta 66 92 0 05 Oct 2020
Remembering for the Right Reasons: Explanations Reduce Catastrophic Forgetting Sayna Ebrahimi Suzanne Petryk Akash Gokul William Gan Joseph E. Gonzalez Marcus Rohrbach Trevor Darrell CLL 83 47 0 04 Oct 2020
Meta-Consolidation for Continual Learning K. J. Joseph V. Balasubramanian CLL 99 56 0 01 Oct 2020
KSM: Fast Multiple Task Adaption via Kernel-wise Soft Mask Learning Li Yang Zhezhi He Junshan Zhang Deliang Fan AAML CLL 51 13 0 11 Sep 2020
Compression-aware Continual Learning using Singular Value Decomposition Varigonda Pavan Teja Priyadarshini Panda CLL 25 0 0 03 Sep 2020
Lifelong Object Detection Wang Zhou Shiyu Chang Norma Sosa Hendrik Hamann David D. Cox CLL ObjD 99 43 0 02 Sep 2020
Continual Prototype Evolution: Learning Online from Non-Stationary Data Streams Matthias De Lange Tinne Tuytelaars CLL 91 208 0 02 Sep 2020
A Survey on Negative Transfer Wen Zhang Lingfei Deng Lei Zhang Dongrui Wu AAML 157 225 0 02 Sep 2020
Online Class-Incremental Continual Learning with Adversarial Shapley Value Dongsub Shim Zheda Mai Jihwan Jeong Scott Sanner Hyunwoo J. Kim Jongseong Jang CLL 53 6 0 31 Aug 2020
Initial Classifier Weights Replay for Memoryless Class Incremental Learning Eden Belouadah Adrian Daniel Popescu Ioannis Kanellos CLL 118 23 0 31 Aug 2020
Learning to Balance Specificity and Invariance for In and Out of Domain Generalization Prithvijit Chattopadhyay Yogesh Balaji Judy Hoffman OOD 105 210 0 28 Aug 2020
Active Class Incremental Learning for Imbalanced Datasets Eden Belouadah Adrian Daniel Popescu Umang Aggarwal Léo Saci CLL 62 12 0 25 Aug 2020
GraphSAIL: Graph Structure Aware Incremental Learning for Recommender Systems Yishi Xu Yingxue Zhang Wei Guo Huifeng Guo Ruiming Tang Mark Coates CLL 92 82 0 25 Aug 2020
Online Continual Learning under Extreme Memory Constraints Enrico Fini Stéphane Lathuilière E. Sangineto Moin Nabi Elisa Ricci CLL 105 65 0 04 Aug 2020
Shape Adaptor: A Learnable Resizing Module Shikun Liu Zhe Lin Yilin Wang Jianming Zhang Federico Perazzi Edward Johns 72 9 0 03 Aug 2020
Drinking from a Firehose: Continual Learning with Web-scale Natural Language Hexiang Hu Ozan Sener Fei Sha V. Koltun CLL 62 27 0 18 Jul 2020
A Biologically Plausible Audio-Visual Integration Model for Continual Learning Wenjie Chen Fengtong Du Ye Wang Lihong Cao CLL 38 0 0 17 Jul 2020
SpaceNet: Make Free Space For Continual Learning Ghada Sokar Decebal Constantin Mocanu Mykola Pechenizkiy CLL 79 81 0 15 Jul 2020
Batch-level Experience Replay with Review for Continual Learning Zheda Mai Hyunwoo J. Kim Jihwan Jeong Scott Sanner VLM CLL 59 15 0 11 Jul 2020
Continual Learning: Tackling Catastrophic Forgetting in Deep Neural Networks with Replay Processes Timothée Lesort CLL 85 22 0 01 Jul 2020
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 146 104 0 28 Jun 2020
Supermasks in Superposition Mitchell Wortsman Vivek Ramanujan Rosanne Liu Aniruddha Kembhavi Mohammad Rastegari J. Yosinski Ali Farhadi SSL CLL 120 298 0 26 Jun 2020
Understanding the Role of Training Regimes in Continual Learning Seyed Iman Mirzadeh Mehrdad Farajtabar Razvan Pascanu H. Ghasemzadeh CLL 81 228 0 12 Jun 2020
Self-Supervised Learning Aided Class-Incremental Lifelong Learning Song Zhang Gehui Shen Jinsong Huang Zhihong Deng CLL 81 14 0 10 Jun 2020
Passive Batch Injection Training Technique: Boosting Network Performance by Injecting Mini-Batches from a different Data Distribution Pravendra Singh Pratik Mazumder Vinay P. Namboodiri 42 0 0 08 Jun 2020
Looking back to lower-level information in few-shot learning Zhongjie Yu S. Raschka 48 5 0 27 May 2020
Importance Driven Continual Learning for Segmentation Across Domains S. Özgün Anne-Marie Rickmann Abhijit Guha Roy Christian Wachinger OOD CLL 57 33 0 30 Apr 2020
Reducing catastrophic forgetting with learning on synthetic data Wojciech Masarczyk Ivona Tautkute DD 67 36 0 29 Apr 2020
Recall and Learn: Fine-tuning Deep Pretrained Language Models with Less Forgetting Sanyuan Chen Yutai Hou Yiming Cui Wanxiang Che Ting Liu Xiangzhan Yu KELM CLL 140 226 0 27 Apr 2020
Dropout as an Implicit Gating Mechanism For Continual Learning Seyed Iman Mirzadeh Mehrdad Farajtabar H. Ghasemzadeh CLL 69 43 0 24 Apr 2020
Few-Shot Class-Incremental Learning Xiaoyu Tao Xiaopeng Hong Xinyuan Chang Songlin Dong Xing Wei Yihong Gong CLL 104 419 0 23 Apr 2020
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 66 156 0 20 Apr 2020
Continual Learning with Extended Kronecker-factored Approximate Curvature Janghyeon Lee H. Hong Donggyu Joo Junmo Kim CLL 122 56 0 16 Apr 2020
Dark Experience for General Continual Learning: a Strong, Simple Baseline Pietro Buzzega Matteo Boschini Angelo Porrello Davide Abati Simone Calderara BDL CLL 93 928 0 15 Apr 2020
Defining Benchmarks for Continual Few-Shot Learning Antreas Antoniou Massimiliano Patacchiola Mateusz Ochal Amos Storkey 56 38 0 15 Apr 2020
Semantic Drift Compensation for Class-Incremental Learning Lu Yu Bartlomiej Twardowski Xialei Liu Luis Herranz Kai Wang Yongmei Cheng Shangling Jui Joost van de Weijer CLL 95 345 0 01 Apr 2020
Conditional Channel Gated Networks for Task-Aware Continual Learning Davide Abati Jakub M. Tomczak Tijmen Blankevoort Simone Calderara Rita Cucchiara B. Bejnordi CLL 102 187 0 31 Mar 2020
Overcoming Catastrophic Forgetting in Graph Neural Networks with Experience Replay Fan Zhou Chengtai Cao CLL 71 10 0 22 Mar 2020
Adversarial Continual Learning Sayna Ebrahimi Franziska Meier Roberto Calandra Trevor Darrell Marcus Rohrbach CLL VLM 201 200 0 21 Mar 2020
Incremental Object Detection via Meta-Learning K. J. Joseph Jathushan Rajasegaran Salman Khan Fahad Shahbaz Khan V. Balasubramanian ObjD CLL VLM 226 104 0 17 Mar 2020
Residual Continual Learning Janghyeon Lee Donggyu Joo H. Hong Junmo Kim CLL 133 24 0 17 Feb 2020
Multi-Task Incremental Learning for Object Detection Xialei Liu Hao Yang Avinash Ravichandran Rahul Bhotika Stefano Soatto ObjD VLM CLL 63 12 0 13 Feb 2020
Modeling the Background for Incremental Learning in Semantic Segmentation Fabio Cermelli Massimiliano Mancini Samuel Rota Buló Elisa Ricci Barbara Caputo CLL VLM 79 287 0 03 Feb 2020
Ternary Feature Masks: zero-forgetting for task-incremental learning Marc Masana Tinne Tuytelaars Joost van de Weijer CLL 81 30 0 23 Jan 2020
SPACE: Structured Compression and Sharing of Representational Space for Continual Learning Gobinda Saha Isha Garg Aayush Ankit Kaushik Roy CLL 54 22 0 23 Jan 2020