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
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 19 12 0 02 Apr 2021
DER: Dynamically Expandable Representation for Class Incremental Learning Shipeng Yan Jiangwei Xie Xuming He CLL 29 435 0 31 Mar 2021
Self-Supervised Training Enhances Online Continual Learning Jhair Gallardo Tyler L. Hayes Christopher Kanan CLL 27 68 0 25 Mar 2021
Boosting Binary Masks for Multi-Domain Learning through Affine Transformations Massimiliano Mancini Elisa Ricci Barbara Caputo Samuel Rota Buló 19 7 0 25 Mar 2021
Efficient Feature Transformations for Discriminative and Generative Continual Learning Vinay Kumar Verma Kevin J Liang Nikhil Mehta Piyush Rai Lawrence Carin CLL 38 76 0 25 Mar 2021
ZS-IL: Looking Back on Learned Experiences For Zero-Shot Incremental Learning Mozhgan Pourkeshavarz Mohammad Sabokrou CLL VLM 27 0 0 22 Mar 2021
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 37 181 0 22 Mar 2021
Gradient Projection Memory for Continual Learning Gobinda Saha Isha Garg Kaushik Roy VLM CLL 47 269 0 17 Mar 2021
Continual Semantic Segmentation via Repulsion-Attraction of Sparse and Disentangled Latent Representations Umberto Michieli Pietro Zanuttigh CLL 38 138 0 10 Mar 2021
CAM-GAN: Continual Adaptation Modules for Generative Adversarial Networks Sakshi Varshney Vinay Kumar Verma K. SrijithP. Lawrence Carin Piyush Rai GAN CLL 36 21 0 06 Mar 2021
Towards Open World Object Detection K. J. Joseph Salman Khan Fahad Shahbaz Khan V. Balasubramanian ObjD 30 448 0 03 Mar 2021
Distilling Causal Effect of Data in Class-Incremental Learning Xinting Hu Kaihua Tang Chunyan Miao Xiansheng Hua Hanwang Zhang CML 176 175 0 02 Mar 2021
Few-Shot Lifelong Learning Pratik Mazumder Pravendra Singh Piyush Rai CLL 25 119 0 01 Mar 2021
Continual Learning for Blind Image Quality Assessment Weixia Zhang Dingquan Li Chao Ma Guangtao Zhai Xiaokang Yang Kede Ma VLM 24 86 0 19 Feb 2021
GP-Tree: A Gaussian Process Classifier for Few-Shot Incremental Learning Idan Achituve Aviv Navon Yochai Yemini Gal Chechik Ethan Fetaya GP 21 33 0 15 Feb 2021
A linearized framework and a new benchmark for model selection for fine-tuning Aditya Deshpande Alessandro Achille Avinash Ravichandran Hao Li L. Zancato Charless C. Fowlkes Rahul Bhotika Stefano Soatto Pietro Perona ALM 118 46 0 29 Jan 2021
Self-Attention Meta-Learner for Continual Learning Ghada Sokar Decebal Constantin Mocanu Mykola Pechenizkiy CLL 14 11 0 28 Jan 2021
Online Continual Learning in Image Classification: An Empirical Survey Zheda Mai Ruiwen Li Jihwan Jeong David Quispe Hyunwoo J. Kim Scott Sanner VLM CLL 36 408 0 25 Jan 2021
Learning Invariant Representation for Continual Learning Ghada Sokar Decebal Constantin Mocanu Mykola Pechenizkiy BDL CLL 24 16 0 15 Jan 2021
IIRC: Incremental Implicitly-Refined Classification Mohamed Abdelsalam Mojtaba Faramarzi Shagun Sodhani A. Chandar CLL 11 29 0 23 Dec 2020
Finding Sparse Structures for Domain Specific Neural Machine Translation Jianze Liang Chengqi Zhao Mingxuan Wang Xipeng Qiu Lei Li CLL 27 4 0 19 Dec 2020
Continual Lifelong Learning in Natural Language Processing: A Survey Magdalena Biesialska Katarzyna Biesialska Marta R. Costa-jussá KELM CLL 18 216 0 17 Dec 2020
Towards Recognizing New Semantic Concepts in New Visual Domains Massimiliano Mancini OOD 31 0 0 16 Dec 2020
Class-incremental Learning with Rectified Feature-Graph Preservation Cheng-Hsun Lei Yi-Hsin Wen-Hsiao Peng Wei-Chen Chiu CLL 25 4 0 15 Dec 2020
Learn-Prune-Share for Lifelong Learning Zifeng Wang T. Jian Kaushik R. Chowdhury Yanzhi Wang Jennifer Dy Stratis Ioannidis KELM CLL 28 35 0 13 Dec 2020
Overcoming Catastrophic Forgetting in Graph Neural Networks Huihui Liu Yiding Yang Xinchao Wang 168 112 0 10 Dec 2020
Self-Training for Class-Incremental Semantic Segmentation Lu Yu Xialei Liu Joost van de Weijer CLL SSL 28 54 0 06 Dec 2020
Driver Glance Classification In-the-wild: Towards Generalization Across Domains and Subjects Sandipan Banerjee Ajjen Joshi Jay Turcot B. Reimer Taniya Mishra 24 2 0 05 Dec 2020
BinPlay: A Binary Latent Autoencoder for Generative Replay Continual Learning Kamil Deja Pawel Wawrzyñski Daniel Marczak Wojciech Masarczyk Tomasz Trzciñski SyDa 16 9 0 25 Nov 2020
Overcoming Catastrophic Forgetting via Direction-Constrained Optimization Yunfei Teng A. Choromańska Murray Campbell Songtao Lu Parikshit Ram L. Horesh CLL 27 2 0 25 Nov 2020
A Comprehensive Study of Class Incremental Learning Algorithms for Visual Tasks Eden Belouadah Adrian Daniel Popescu Ioannis Kanellos CLL 27 214 0 03 Nov 2020
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 37 664 0 28 Oct 2020
A Study on Efficiency in Continual Learning Inspired by Human Learning Philip J. Ball Yingzhen Li A. Lamb Cheng Zhang CLL 18 2 0 28 Oct 2020
What is Wrong with Continual Learning in Medical Image Segmentation? Camila González Nick Lemke G. Sakas Anirban Mukhopadhyay CLL 26 31 0 21 Oct 2020
Class-incremental Learning with Pre-allocated Fixed Classifiers F. Pernici Matteo Bruni C. Baecchi F. Turchini A. Bimbo CLL 28 37 0 16 Oct 2020
Rethinking Experience Replay: a Bag of Tricks for Continual Learning Pietro Buzzega Matteo Boschini Angelo Porrello Simone Calderara CLL 14 146 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 20 80 0 07 Oct 2020
Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks Róbert Csordás Sjoerd van Steenkiste Jürgen Schmidhuber 53 88 0 05 Oct 2020
A Survey on Deep Neural Network Compression: Challenges, Overview, and Solutions Rahul Mishra Hari Prabhat Gupta Tanima Dutta 24 88 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 37 45 0 04 Oct 2020
Meta-Consolidation for Continual Learning K. J. Joseph V. Balasubramanian CLL 22 55 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 8 13 0 11 Sep 2020
Compression-aware Continual Learning using Singular Value Decomposition Varigonda Pavan Teja Priyadarshini Panda CLL 21 0 0 03 Sep 2020
Lifelong Object Detection Wang Zhou Shiyu Chang Norma Sosa Hendrik Hamann David D. Cox CLL ObjD 14 42 0 02 Sep 2020
Continual Prototype Evolution: Learning Online from Non-Stationary Data Streams Matthias De Lange Tinne Tuytelaars CLL 18 198 0 02 Sep 2020
A Survey on Negative Transfer Wen Zhang Lingfei Deng Lei Zhang Dongrui Wu AAML 27 208 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 11 6 0 31 Aug 2020
Initial Classifier Weights Replay for Memoryless Class Incremental Learning Eden Belouadah Adrian Daniel Popescu Ioannis Kanellos CLL 21 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 28 204 0 28 Aug 2020
Active Class Incremental Learning for Imbalanced Datasets Eden Belouadah Adrian Daniel Popescu Umang Aggarwal Léo Saci CLL 18 12 0 25 Aug 2020