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

15 November 2017

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

50 / 734 papers shown

Title
GraphSAIL: Graph Structure Aware Incremental Learning for Recommender Systems Yishi Xu Yingxue Zhang Wei Guo Huifeng Guo Ruiming Tang Mark J. Coates CLL 17 79 0 25 Aug 2020
Online Continual Learning under Extreme Memory Constraints Enrico Fini Stéphane Lathuilière E. Sangineto Moin Nabi Elisa Ricci CLL 38 63 0 04 Aug 2020
Shape Adaptor: A Learnable Resizing Module Shikun Liu Zhe-nan Lin Yilin Wang Jianming Zhang Federico Perazzi Edward Johns 22 8 0 03 Aug 2020
Drinking from a Firehose: Continual Learning with Web-scale Natural Language Hexiang Hu Ozan Sener Fei Sha V. Koltun CLL 35 27 0 18 Jul 2020
A Biologically Plausible Audio-Visual Integration Model for Continual Learning Wenjie Chen Fengtong Du Ye Wang Lihong Cao CLL 31 0 0 17 Jul 2020
SpaceNet: Make Free Space For Continual Learning Ghada Sokar Decebal Constantin Mocanu Mykola Pechenizkiy CLL 18 79 0 15 Jul 2020
Batch-level Experience Replay with Review for Continual Learning Zheda Mai Hyunwoo J. Kim Jihwan Jeong Scott Sanner VLM CLL 15 15 0 11 Jul 2020
Continual Learning: Tackling Catastrophic Forgetting in Deep Neural Networks with Replay Processes Timothée Lesort CLL 26 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 Fei Wu Xi Li CLL 31 98 0 28 Jun 2020
Supermasks in Superposition Mitchell Wortsman Vivek Ramanujan Rosanne Liu Aniruddha Kembhavi Mohammad Rastegari J. Yosinski Ali Farhadi SSL CLL 33 279 0 26 Jun 2020
Understanding the Role of Training Regimes in Continual Learning Seyed Iman Mirzadeh Mehrdad Farajtabar Razvan Pascanu H. Ghasemzadeh CLL 21 219 0 12 Jun 2020
Self-Supervised Learning Aided Class-Incremental Lifelong Learning Song Zhang Gehui Shen Jinsong Huang Zhihong Deng CLL 33 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 9 0 0 08 Jun 2020
Looking back to lower-level information in few-shot learning Zhongjie Yu S. Raschka 6 4 0 27 May 2020
Importance Driven Continual Learning for Segmentation Across Domains S. Özgün Anne-Marie Rickmann Abhijit Guha Roy Christian Wachinger OOD CLL 12 33 0 30 Apr 2020
Reducing catastrophic forgetting with learning on synthetic data Wojciech Masarczyk Ivona Tautkute DD 13 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 21 212 0 27 Apr 2020
Dropout as an Implicit Gating Mechanism For Continual Learning Seyed Iman Mirzadeh Mehrdad Farajtabar H. Ghasemzadeh CLL 20 42 0 24 Apr 2020
Few-Shot Class-Incremental Learning Xiaoyu Tao Xiaopeng Hong Xinyuan Chang Songlin Dong Xing Wei Yihong Gong CLL 30 403 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 23 145 0 20 Apr 2020
Continual Learning with Extended Kronecker-factored Approximate Curvature Janghyeon Lee H. Hong Donggyu Joo Junmo Kim CLL 20 52 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 26 874 0 15 Apr 2020
Defining Benchmarks for Continual Few-Shot Learning Antreas Antoniou Massimiliano Patacchiola Mateusz Ochal Amos Storkey 8 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 6 333 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 42 184 0 31 Mar 2020
Overcoming Catastrophic Forgetting in Graph Neural Networks with Experience Replay Fan Zhou Chengtai Cao CLL 29 10 0 22 Mar 2020
Adversarial Continual Learning Sayna Ebrahimi Franziska Meier Roberto Calandra Trevor Darrell Marcus Rohrbach CLL VLM 152 199 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 177 98 0 17 Mar 2020
Residual Continual Learning Janghyeon Lee Donggyu Joo H. Hong Junmo Kim CLL 12 23 0 17 Feb 2020
Multi-Task Incremental Learning for Object Detection Xialei Liu Hao Yang Avinash Ravichandran Rahul Bhotika Stefano Soatto ObjD VLM CLL 6 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 24 277 0 03 Feb 2020
Ternary Feature Masks: zero-forgetting for task-incremental learning Marc Masana Tinne Tuytelaars Joost van de Weijer CLL 23 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 19 22 0 23 Jan 2020
ScaIL: Classifier Weights Scaling for Class Incremental Learning Eden Belouadah Adrian Daniel Popescu CLL 22 78 0 16 Jan 2020
Dynamic Task Weighting Methods for Multi-task Networks in Autonomous Driving Systems Isabelle Leang Ganesh Sistu Fabian Burger Andrei Bursuc S. Yogamani 25 52 0 07 Jan 2020
Frosting Weights for Better Continual Training Xiaofeng Zhu Feng Liu Goce Trajcevski Dingding Wang FedML AI4CE CLL 28 5 0 07 Jan 2020
Overcoming Long-term Catastrophic Forgetting through Adversarial Neural Pruning and Synaptic Consolidation Jian-wei Peng Bo Tang Jiang Hao Zhuo Li Yinjie Lei Tao R. Lin Haifeng Li AAML CLL 33 36 0 19 Dec 2019
Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion Hongxu Yin Pavlo Molchanov Zhizhong Li J. Álvarez Arun Mallya Derek Hoiem N. Jha Jan Kautz 28 552 0 18 Dec 2019
Compacting, Picking and Growing for Unforgetting Continual Learning Steven C. Y. Hung Cheng-Hao Tu Cheng-En Wu Chien-Hung Chen Yi-Ming Chan Chu-Song Chen CLL 30 299 0 15 Oct 2019
Learning to Remember from a Multi-Task Teacher Yuwen Xiong Mengye Ren R. Urtasun CLL KELM OOD 22 4 0 10 Oct 2019
Biologically-Inspired Spatial Neural Networks Zhiqing Zhang Jacek Tabor Marek Śmieja Szymon Maszke 14 3 0 07 Oct 2019
Continual Learning in Neural Networks Rahaf Aljundi CLL 27 33 0 07 Oct 2019
A continual learning survey: Defying forgetting in classification tasks Matthias De Lange Rahaf Aljundi Marc Masana Sarah Parisot Xu Jia A. Leonardis Greg Slabaugh Tinne Tuytelaars CLL KELM 14 246 0 18 Sep 2019
Deep Elastic Networks with Model Selection for Multi-Task Learning Chanho Ahn Eunwoo Kim Songhwai Oh 49 49 0 11 Sep 2019
LAMOL: LAnguage MOdeling for Lifelong Language Learning Fan-Keng Sun Cheng-Hao Ho Hung-yi Lee CLL KELM 15 205 0 07 Sep 2019
Language Features Matter: Effective Language Representations for Vision-Language Tasks Andrea Burns Reuben Tan Kate Saenko Stan Sclaroff Bryan A. Plummer VLM 27 27 0 17 Aug 2019
Continual Learning by Asymmetric Loss Approximation with Single-Side Overestimation Dongmin Park Seokil Hong Bohyung Han Kyoung Mu Lee AAML CLL 24 39 0 08 Aug 2019
Context-Aware Multipath Networks Dumindu Tissera Kumara Kahatapitiya Rukshan Wijesinghe Subha Fernando Ranga Rodrigo 14 7 0 26 Jul 2019
Adaptive Compression-based Lifelong Learning Shivangi Srivastava Maxim Berman Matthew B. Blaschko D. Tuia CLL 8 10 0 23 Jul 2019
NetTailor: Tuning the Architecture, Not Just the Weights Pedro Morgado Nuno Vasconcelos MQ 24 29 0 29 Jun 2019