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Learning without Forgetting

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2016

29 June 2016

Papers citing "Learning without Forgetting"

50 / 2,436 papers shown

Title
Unsupervised Domain Adaptation in Semantic Segmentation: a Review Marco Toldo Andrea Maracani Umberto Michieli Pietro Zanuttigh SSeg 268 200 0 21 May 2020
Why distillation helps: a statistical perspective A. Menon A. S. Rawat Sashank J. Reddi Seungyeon Kim Sanjiv Kumar FedML 204 25 0 21 May 2020
Class-Incremental Learning for Semantic Segmentation Re-Using Neither Old Data Nor Old Labels Marvin Klingner Andreas Bär Philipp Donn Tim Fingscheidt CLL 207 48 0 12 May 2020
Incremental Learning for End-to-End Automatic Speech Recognition Li Fu Xiaoxiao Li Libo Zi Zhengchen Zhang Youzheng Wu Xiaodong He Bowen Zhou CLL 257 25 0 11 May 2020
Continual Learning Using Multi-view Task Conditional Neural Networks Honglin Li Payam Barnaghi Shirin Enshaeifar F. Ganz CLL 180 1 0 08 May 2020
Explaining How Deep Neural Networks Forget by Deep Visualization Giang Nguyen Shuan Chen Tae Joon Jun Daeyoung Kim AAML 212 10 0 03 May 2020
Neural Network Retraining for Model Serving Diego Klabjan Xiaofeng Zhu CLL 201 11 0 29 Apr 2020
Continual Deep Learning by Functional Regularisation of Memorable PastNeural Information Processing Systems (NeurIPS), 2020 Pingbo Pan S. Swaroop Alexander Immer Runa Eschenhagen Richard Turner Mohammad Emtiyaz Khan KELM CLL 278 162 0 29 Apr 2020
Reducing catastrophic forgetting with learning on synthetic data Wojciech Masarczyk Ivona Tautkute DD 167 40 0 29 Apr 2020
PODNet: Pooled Outputs Distillation for Small-Tasks Incremental Learning Arthur Douillard Matthieu Cord Charles Ollion Thomas Robert Eduardo Valle CLL 147 6 0 28 Apr 2020
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 KELM CLL 215 249 0 27 Apr 2020
IROS 2019 Lifelong Robotic Vision Challenge -- Lifelong Object Recognition Report Qi She Fan Feng Qi Liu Rosa H. M. Chan Xinyue Hao ... Di Xie Yangsheng Xu Lin Yang Qiaoyong Zhong Liguang Zhou 105 2 0 26 Apr 2020
Dropout as an Implicit Gating Mechanism For Continual Learning Seyed Iman Mirzadeh Mehrdad Farajtabar H. Ghasemzadeh CLL 130 45 0 24 Apr 2020
Few-Shot Class-Incremental Learning Xiaoyu Tao Xiaopeng Hong Xinyuan Chang Songlin Dong Xing Wei Yihong Gong CLL 192 485 0 23 Apr 2020
Continual Learning of Object Instances Kishan Parshotam Mert Kilickaya CLL 134 4 0 22 Apr 2020
Continual Learning using a Bayesian Nonparametric Dictionary of Weight Factors Nikhil Mehta Kevin J. Liang Vinay K Verma Lawrence Carin CLL 246 5 0 21 Apr 2020
CLOPS: Continual Learning of Physiological Signals Dani Kiyasseh T. Zhu David Clifton 165 7 0 20 Apr 2020
Boosting Deep Open World Recognition by ClusteringIEEE Robotics and Automation Letters (RA-L), 2020 Dario Fontanel Fabio Cermelli Goran Frehse Samuel Rota Buló Elisa Ricci Barbara Caputo 194 22 0 20 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 170 169 0 20 Apr 2020
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 BDL CLL 307 1,103 0 15 Apr 2020
Compositional Visual Generation and Inference with Energy Based Models Yilun Du Shuang Li Igor Mordatch CoGe 169 25 0 13 Apr 2020
Feature Lenses: Plug-and-play Neural Modules for Transformation-Invariant Visual Representations Shaohua Li Xiuchao Sui Jie Fu Yong Liu Rick Siow Mong Goh 93 3 0 12 Apr 2020
Exploring Optimal Deep Learning Models for Image-based Malware Variant ClassificationAnnual International Computer Software and Applications Conference (COMPSAC), 2020 Rikima Mitsuhashi Takahiro Shinagawa 139 6 0 10 Apr 2020
Structure-preserving neural networksJournal of Computational Physics (JCP), 2020 Quercus Hernandez Alberto Badías D. González Francisco Chinesta Elías Cueto PINN 232 88 0 09 Apr 2020
Universal Source-Free Domain AdaptationComputer Vision and Pattern Recognition (CVPR), 2020 Jogendra Nath Kundu Naveen Venkat V. RahulM. R. Venkatesh Babu VLM TTA 211 378 0 09 Apr 2020
Evaluating Online Continual Learning with CALM Germán Kruszewski Ionut-Teodor Sorodoc Tomas Mikolov CLL 132 1 0 07 Apr 2020
Learning to Segment the TailComputer Vision and Pattern Recognition (CVPR), 2020 Xinting Hu Yi Jiang Kaihua Tang Jingyuan Chen Chunyan Miao Hanwang Zhang VLM CLL 344 89 0 02 Apr 2020
Memory-Efficient Incremental Learning Through Feature AdaptationEuropean Conference on Computer Vision (ECCV), 2020 Ahmet Iscen Jeffrey O. Zhang Svetlana Lazebnik Cordelia Schmid CLL VLM 227 180 0 01 Apr 2020
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 274 375 0 01 Apr 2020
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 219 200 0 31 Mar 2020
SS-IL: Separated Softmax for Incremental LearningIEEE International Conference on Computer Vision (ICCV), 2020 Hongjoon Ahn Jihwan Kwak S. Lim Hyeonsu Bang Hyojun Kim Taesup Moon CLL 340 201 0 31 Mar 2020
Continual Learning with Node-Importance based Adaptive Group Sparse RegularizationNeural Information Processing Systems (NeurIPS), 2020 Sangwon Jung Hongjoon Ahn Sungmin Cha Taesup Moon CLL 266 143 0 30 Mar 2020
Incremental Learning In Online ScenarioComputer Vision and Pattern Recognition (CVPR), 2020 Jiangpeng He Runyu Mao Zeman Shao Fengqing Zhu CLL 173 165 0 30 Mar 2020
Towards Backward-Compatible Representation LearningComputer Vision and Pattern Recognition (CVPR), 2020 Yantao Shen Yuanjun Xiong Wei Xia Stefano Soatto 174 90 0 26 Mar 2020
iTAML: An Incremental Task-Agnostic Meta-learning ApproachComputer Vision and Pattern Recognition (CVPR), 2020 Jathushan Rajasegaran Salman Khan Munawar Hayat Fahad Shahbaz Khan M. Shah CLL OOD 195 165 0 25 Mar 2020
Overcoming Catastrophic Forgetting in Graph Neural Networks with Experience Replay Fan Zhou Chengtai Cao CLL 163 10 0 22 Mar 2020
Online Continual Learning on Sequences G. I. Parisi Vincenzo Lomonaco CLL 116 29 0 20 Mar 2020
XtarNet: Learning to Extract Task-Adaptive Representation for Incremental Few-Shot LearningInternational Conference on Machine Learning (ICML), 2020 Sung Whan Yoon Do-Yeon Kim Jun Seo Jaekyun Moon CLL 328 48 0 19 Mar 2020
The Future of Digital Health with Federated Learningnpj Digital Medicine (NPJ Digit Med), 2020 Nicola Rieke Jonny Hancox Wenqi Li Fausto Milletari H. Roth ... Ronald M. Summers Andrew Trask Daguang Xu Maximilian Baust M. Jorge Cardoso OOD 415 2,185 0 18 Mar 2020
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 ObjD CLL VLM 327 116 0 17 Mar 2020
Any-Shot Object DetectionAsian Conference on Computer Vision (ACCV), 2020 Shafin Rahman Salman Khan Nick Barnes Fahad Shahbaz Khan ObjD VLM 185 18 0 16 Mar 2020
Beyond without Forgetting: Multi-Task Learning for Classification with Disjoint DatasetsIEEE International Conference on Multimedia and Expo (ICME), 2020 Y. Hong Li Niu Jianfu Zhang Liqing Zhang 144 7 0 15 Mar 2020
FOAL: Fast Online Adaptive Learning for Cardiac Motion EstimationComputer Vision and Pattern Recognition (CVPR), 2020 Hanchao Yu Shanhui Sun Haichao Yu Xiao Chen Humphrey Shi Thomas Huang Terrence Chen 210 48 0 10 Mar 2020
Faster ILOD: Incremental Learning for Object Detectors based on Faster RCNNPattern Recognition Letters (Pattern Recognit. Lett.), 2020 Can Peng Kun-li Zhao Brian C. Lovell ObjD 239 129 0 09 Mar 2020
FoCL: Feature-Oriented Continual Learning for Generative ModelsPattern Recognition (Pattern Recognit.), 2020 Qicheng Lao Mehrzad Mortazavi Marzieh S. Tahaei Francis Dutil T. Fevens Mohammad Havaei CLL 118 15 0 09 Mar 2020
Synaptic Metaplasticity in Binarized Neural NetworksNature Communications (Nat Commun), 2020 Axel Laborieux M. Ernoult T. Hirtzlin D. Querlioz CLL 190 72 0 07 Mar 2020
Energy-efficient and Robust Cumulative Training with Net2Net TransformationIEEE International Joint Conference on Neural Network (IJCNN), 2020 Aosong Feng Priyadarshini Panda 160 1 0 02 Mar 2020
Multi-Scale Neural network for EEG Representation Learning in BCIIEEE Computational Intelligence Magazine (IEEE CIM), 2020 Wonjun Ko Eunjin Jeon Seungwoo Jeong Heung-Il Suk 140 94 0 02 Mar 2020
On Catastrophic Interference in Atari 2600 Games W. Fedus Dibya Ghosh John D. Martin Marc G. Bellemare Yoshua Bengio Hugo Larochelle 127 27 0 28 Feb 2020
Cognitively-Inspired Model for Incremental Learning Using a Few Examples Ali Ayub Alan Wagner CLL 155 3 0 27 Feb 2020