Lifelong Learning with Dynamically Expandable Networks

4 August 2017

Papers citing "Lifelong Learning with Dynamically Expandable Networks"

50 / 250 papers shown

Title
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
Generalisation Guarantees for Continual Learning with Orthogonal Gradient Descent Mehdi Abbana Bennani Thang Doan Masashi Sugiyama CLL 50 61 0 21 Jun 2020
Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes Mengdi Xu Wenhao Ding Jiacheng Zhu Zuxin Liu Baiming Chen Ding Zhao CLL OffRL 28 34 0 19 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
Efficient Architecture Search for Continual Learning Qiang Gao Zhipeng Luo Diego Klabjan CLL 45 48 0 07 Jun 2020
PODNet: Pooled Outputs Distillation for Small-Tasks Incremental Learning Arthur Douillard Matthieu Cord Charles Ollion Thomas Robert Eduardo Valle CLL 17 6 0 28 Apr 2020
Few-Shot Class-Incremental Learning Xiaoyu Tao Xiaopeng Hong Xinyuan Chang Songlin Dong Xing Wei Yihong Gong CLL 34 403 0 23 Apr 2020
SS-IL: Separated Softmax for Incremental Learning Hongjoon Ahn Jihwan Kwak S. Lim Hyeonsu Bang Hyojun Kim Taesup Moon CLL 22 176 0 31 Mar 2020
Adversarial Continual Learning Sayna Ebrahimi Franziska Meier Roberto Calandra Trevor Darrell Marcus Rohrbach CLL VLM 154 199 0 21 Mar 2020
Lifelong Learning with Searchable Extension Units Wenjin Wang Yunqing Hu Yin Zhang KELM CLL 13 3 0 19 Mar 2020
Federated Continual Learning with Weighted Inter-client Transfer Jaehong Yoon Wonyoung Jeong Giwoong Lee Eunho Yang Sung Ju Hwang FedML 40 199 0 06 Mar 2020
Using Hindsight to Anchor Past Knowledge in Continual Learning Arslan Chaudhry Albert Gordo P. Dokania Philip Torr David Lopez-Paz KELM CLL 24 234 0 19 Feb 2020
BatchEnsemble: An Alternative Approach to Efficient Ensemble and Lifelong Learning Yeming Wen Dustin Tran Jimmy Ba OOD FedML UQCV 32 483 0 17 Feb 2020
Frosting Weights for Better Continual Training Xiaofeng Zhu Feng Liu Goce Trajcevski Dingding Wang FedML AI4CE CLL 28 5 0 07 Jan 2020
A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning Soochan Lee Junsoo Ha Dongsu Zhang Gunhee Kim BDL CLL 25 209 0 03 Jan 2020
AdaFilter: Adaptive Filter Fine-tuning for Deep Transfer Learning Yunhui Guo Yandong Li Liqiang Wang Tajana Simunic 35 41 0 21 Nov 2019
OpenLORIS-Object: A Robotic Vision Dataset and Benchmark for Lifelong Deep Learning Qi She Fan Feng Xinyue Hao Qihan Yang Chuanlin Lan ... Zhengwei Wang Yao Guo Yimin Zhang Fei Qiao Rosa H. M. Chan VLM 38 75 0 15 Nov 2019
Continual Learning Using Bayesian Neural Networks Honglin Li Payam Barnaghi Shirin Enshaeifar F. Ganz BDL 19 38 0 09 Oct 2019
REMIND Your Neural Network to Prevent Catastrophic Forgetting Tyler L. Hayes Kushal Kafle Robik Shrestha Manoj Acharya Christopher Kanan CLL 31 295 0 06 Oct 2019
Neural Architecture Search for Class-incremental Learning Shenyang Huang Vincent François-Lavet Guillaume Rabusseau CLL 31 16 0 14 Sep 2019
Feature Partitioning for Efficient Multi-Task Architectures Alejandro Newell Lu Jiang Chong-Jun Wang Li-Jia Li Jia Deng 30 17 0 12 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
Overcoming Catastrophic Forgetting by Neuron-level Plasticity Control Inyoung Paik Sangjun Oh Taeyeong Kwak Injung Kim CLL 37 49 0 31 Jul 2019
Continual Learning for Robotics: Definition, Framework, Learning Strategies, Opportunities and Challenges Timothée Lesort Vincenzo Lomonaco Andrei Stoian Davide Maltoni David Filliat Natalia Díaz Rodríguez CLL 19 248 0 29 Jun 2019
Uncertainty-guided Continual Learning with Bayesian Neural Networks Sayna Ebrahimi Mohamed Elhoseiny Trevor Darrell Marcus Rohrbach CLL BDL 21 195 0 06 Jun 2019
Uncertainty-based Continual Learning with Adaptive Regularization Hongjoon Ahn Sungmin Cha Donggyu Lee Taesup Moon BDL 24 209 0 28 May 2019
Hierarchically Structured Meta-learning Huaxiu Yao Ying Wei Junzhou Huang Z. Li 30 203 0 13 May 2019
A Multi-Task Learning Framework for Overcoming the Catastrophic Forgetting in Automatic Speech Recognition Jiabin Xue Jiqing Han Tieran Zheng Xiang Gao Jiaxing Guo CLL 18 9 0 17 Apr 2019
Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning O. Ostapenko M. Puscas T. Klein P. Jähnichen Moin Nabi CLL 60 297 0 05 Apr 2019
Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild Kibok Lee Kimin Lee Jinwoo Shin Honglak Lee CLL 43 201 0 29 Mar 2019
Class-incremental Learning via Deep Model Consolidation Junting Zhang Jie Zhang Shalini Ghosh Dawei Li Serafettin Tasci Larry Heck Heming Zhang C.-C. Jay Kuo CLL 27 335 0 19 Mar 2019
Continual Learning via Neural Pruning Siavash Golkar Michael Kagan Kyunghyun Cho CLL 21 159 0 11 Mar 2019
On Tiny Episodic Memories in Continual Learning Arslan Chaudhry Marcus Rohrbach Mohamed Elhoseiny Thalaiyasingam Ajanthan P. Dokania Philip Torr MarcÁurelio Ranzato CLL 52 391 0 27 Feb 2019
Neural-encoding Human Experts' Domain Knowledge to Warm Start Reinforcement Learning Andrew Silva Matthew C. Gombolay OffRL 27 20 0 15 Feb 2019
Adaptive Posterior Learning: few-shot learning with a surprise-based memory module Tiago Ramalho M. Garnelo BDL 33 77 0 07 Feb 2019
Using Machine Learning for Handover Optimization in Vehicular Fog Computing Salman Memon Muthucumaru Maheswaran 18 37 0 18 Dec 2018
Task-Free Continual Learning Rahaf Aljundi Klaas Kelchtermans Tinne Tuytelaars CLL 35 354 0 10 Dec 2018
Learning to Learn without Forgetting by Maximizing Transfer and Minimizing Interference Matthew D Riemer Ignacio Cases R. Ajemian Miao Liu Irina Rish Y. Tu Gerald Tesauro CLL 33 768 0 29 Oct 2018
Autonomous Deep Learning: Continual Learning Approach for Dynamic Environments Andri Ashfahani Mahardhika Pratama 17 68 0 17 Oct 2018
Autonomous Deep Learning: Incremental Learning of Denoising Autoencoder for Evolving Data Streams Mahardhika Pratama Andri Ashfahani Yew-Soon Ong Savitha Ramasamy E. Lughofer 8 15 0 24 Sep 2018
Open-world Learning and Application to Product Classification Hu Xu Bing-Quan Liu Lei Shu P. Yu CLL VLM 35 110 0 17 Sep 2018
DynMat, a network that can learn after learning J. H. Lee OffRL 24 5 0 16 Jun 2018
Reinforced Continual Learning Ju Xu Zhanxing Zhu CLL 14 375 0 31 May 2018
Self-Net: Lifelong Learning via Continual Self-Modeling Blake Camp J. Mandivarapu Rolando Estrada CLL SSL 27 16 0 25 May 2018
TreeSegNet: Adaptive Tree CNNs for Subdecimeter Aerial Image Segmentation Kai Yue Lei Yang Ruirui Li Wei Hu Fan Zhang Wei Li SSeg 24 4 0 29 Apr 2018
Network Transplanting Quanshi Zhang Yu Yang Ying Nian Wu Song-Chun Zhu OOD 14 5 0 26 Apr 2018
Overcoming catastrophic forgetting with hard attention to the task Joan Serrà Dídac Surís M. Miron Alexandros Karatzoglou CLL 41 1,050 0 04 Jan 2018
Scalable Recollections for Continual Lifelong Learning Matthew D Riemer Tim Klinger Djallel Bouneffouf M. Franceschini CLL 24 62 0 17 Nov 2017
Learning Task Grouping and Overlap in Multi-task Learning Abhishek Kumar Hal Daumé 184 525 0 27 Jun 2012