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Overcoming Catastrophic Forgetting by Incremental Moment Matching

24 March 2017

Papers citing "Overcoming Catastrophic Forgetting by Incremental Moment Matching"

50 / 353 papers shown

Title
Distilled Replay: Overcoming Forgetting through Synthetic Samples Andrea Rosasco Antonio Carta Andrea Cossu Vincenzo Lomonaco D. Bacciu DD 205 52 0 29 Mar 2021
Efficient Feature Transformations for Discriminative and Generative Continual LearningComputer Vision and Pattern Recognition (CVPR), 2021 Vinay Kumar Verma Kevin J. Liang Nikhil Mehta Piyush Rai Lawrence Carin CLL 265 89 0 25 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 291 212 0 22 Mar 2021
Training Networks in Null Space of Feature Covariance for Continual LearningComputer Vision and Pattern Recognition (CVPR), 2021 Shipeng Wang Xiaorong Li Jian Sun Zongben Xu CLL 280 182 0 12 Mar 2021
Posterior Meta-Replay for Continual LearningNeural Information Processing Systems (NeurIPS), 2021 Christian Henning Maria R. Cervera Francesco DÁngelo J. Oswald Regina Traber Benjamin Ehret Seijin Kobayashi Benjamin Grewe João Sacramento CLL BDL 440 70 0 01 Mar 2021
Few-Shot Lifelong LearningAAAI Conference on Artificial Intelligence (AAAI), 2021 Pratik Mazumder Pravendra Singh Piyush Rai CLL 114 141 0 01 Mar 2021
SpikeDyn: A Framework for Energy-Efficient Spiking Neural Networks with Continual and Unsupervised Learning Capabilities in Dynamic EnvironmentsDesign Automation Conference (DAC), 2021 Rachmad Vidya Wicaksana Putra Mohamed Bennai 180 44 0 28 Feb 2021
Senone-aware Adversarial Multi-task Training for Unsupervised Child to Adult Speech AdaptationIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021 Richeng Duan Nancy F. Chen 56 9 0 23 Feb 2021
Continual Learning for Blind Image Quality AssessmentIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021 Weixia Zhang Dingquan Li Chao Ma Guangtao Zhai Xiaokang Yang Kede Ma VLM 139 97 0 19 Feb 2021
GP-Tree: A Gaussian Process Classifier for Few-Shot Incremental LearningInternational Conference on Machine Learning (ICML), 2021 Idan Achituve Aviv Navon Yochai Yemini Gal Chechik Ethan Fetaya GP 252 39 0 15 Feb 2021
Does the Adam Optimizer Exacerbate Catastrophic Forgetting? Dylan R. Ashley Sina Ghiassian R. Sutton AAML 211 9 0 15 Feb 2021
A Bayesian Federated Learning Framework with Online Laplace ApproximationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021 Liang Liu Xi Jiang Feng Zheng Hong Chen Guo-Jun Qi Heng-Chiao Huang Ling Shao FedML 220 69 0 03 Feb 2021
Do Not Forget to Attend to Uncertainty while Mitigating Catastrophic ForgettingIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2021 V. Kurmi Badri N. Patro Venkatesh Subramanian Vinay P. Namboodiri 218 25 0 03 Feb 2021
Online Continual Learning in Image Classification: An Empirical SurveyNeurocomputing (Neurocomputing), 2021 Zheda Mai Ruiwen Li Jihwan Jeong David Quispe Hyunwoo J. Kim Scott Sanner VLM CLL 478 470 0 25 Jan 2021
Continual Learning of Generative Models with Limited Data: From Wasserstein-1 Barycenter to Adaptive CoalescenceIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021 M. Dedeoglu Sen Lin Zhaofeng Zhang Junshan Zhang 170 2 0 22 Jan 2021
Studying Catastrophic Forgetting in Neural Ranking ModelsEuropean Conference on Information Retrieval (ECIR), 2021 Jesús Lovón-Melgarejo Laure Soulier K. Pinel-Sauvagnat L. Tamine CLL 194 16 0 18 Jan 2021
Parameter-Efficient Transfer Learning with Diff PruningAnnual Meeting of the Association for Computational Linguistics (ACL), 2020 Demi Guo Alexander M. Rush Yoon Kim 282 464 0 14 Dec 2020
Overcoming Catastrophic Forgetting in Graph Neural NetworksAAAI Conference on Artificial Intelligence (AAAI), 2020 Huihui Liu Yiding Yang Xinchao Wang 371 144 0 10 Dec 2020
Message Passing Adaptive Resonance Theory for Online Active Semi-supervised LearningInternational Conference on Machine Learning (ICML), 2020 Taehyeong Kim Injune Hwang Hyun-Dong Lee Hyunseok Kim Won-Seok Choi Joseph J. Lim Byoung-Tak Zhang 202 10 0 02 Dec 2020
Association: Remind Your GAN not to Forget Yi Gu Jie Li Yuting Gao Ruoxin Chen Chentao Wu Feiyang Cai Chao Wang Zirui Zhang CLL 127 1 0 27 Nov 2020
Generalized Variational Continual LearningInternational Conference on Learning Representations (ICLR), 2020 Noel Loo S. Swaroop Richard Turner BDL CLL 180 70 0 24 Nov 2020
Learn to Bind and Grow Neural Structures Azhar Shaikh Nishant Sinha CLL 62 0 0 21 Nov 2020
Class-incremental learning: survey and performance evaluation on image classificationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020 Marc Masana Xialei Liu Bartlomiej Twardowski Mikel Menta Andrew D. Bagdanov Joost van de Weijer CLL 411 799 0 28 Oct 2020
Attribution Preservation in Network Compression for Reliable Network InterpretationNeural Information Processing Systems (NeurIPS), 2020 Geondo Park J. Yang Sung Ju Hwang Eunho Yang 102 7 0 28 Oct 2020
3D Segmentation Networks for Excessive Numbers of Classes: Distinct Bone Segmentation in Upper Bodies Eva Schnider Antal Huck-Horváth G. Rauter A. Zam M. Müller-Gerbl Philippe C. Cattin 97 10 0 14 Oct 2020
Linear Mode Connectivity in Multitask and Continual LearningInternational Conference on Learning Representations (ICLR), 2020 Seyed Iman Mirzadeh Mehrdad Farajtabar Dilan Görür Razvan Pascanu H. Ghasemzadeh CLL 261 166 0 09 Oct 2020
Task Agnostic Continual Learning Using Online Variational Bayes with Fixed-Point UpdatesNeural Computation (Neural Comput.), 2020 Chen Zeno Itay Golan Elad Hoffer Daniel Soudry OOD FedML 205 49 0 01 Oct 2020
Beneficial Perturbation Network for designing general adaptive artificial intelligence systemsIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020 Shixian Wen A. Rios Yunhao Ge Laurent Itti OOD AAML 181 18 0 27 Sep 2020
Modality-Transferable Emotion Embeddings for Low-Resource Multimodal Emotion Recognition Wenliang Dai Zihan Liu Tiezheng Yu Pascale Fung 283 41 0 21 Sep 2020
Measuring Information Transfer in Neural Networks Xiao Zhang Xingjian Li Dejing Dou Ji Wu 223 3 0 16 Sep 2020
A Wholistic View of Continual Learning with Deep Neural Networks: Forgotten Lessons and the Bridge to Active and Open World LearningNeural Networks (NN), 2020 Martin Mundt Yongjun Hong Iuliia Pliushch Visvanathan Ramesh CLL 343 171 0 03 Sep 2020
Lifelong Object Detection Wang Zhou Shiyu Chang Norma Sosa Hendrik Hamann David D. Cox CLL ObjD 162 45 0 02 Sep 2020
A Review of Single-Source Deep Unsupervised Visual Domain AdaptationIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020 Sicheng Zhao Xiangyu Yue Shanghang Zhang Yue Liu Han Zhao ... Ravi Krishna Joseph E. Gonzalez Alberto L. Sangiovanni-Vincentelli Sanjit A. Seshia Kurt Keutzer 300 308 0 01 Sep 2020
Learning Adaptive Embedding Considering Incremental ClassIEEE Transactions on Knowledge and Data Engineering (TKDE), 2020 Yang Yang Zhensheng Sun HengShu Zhu Yanjie Fu Hui Xiong Jian Yang CLL 101 47 0 31 Aug 2020
S2OSC: A Holistic Semi-Supervised Approach for Open Set ClassificationACM Transactions on Knowledge Discovery from Data (TKDD), 2020 Yang Yang Zhensheng Sun Hui Xiong Jian Yang 88 25 0 11 Aug 2020
ARCADe: A Rapid Continual Anomaly DetectorInternational Conference on Pattern Recognition (ICPR), 2020 A. Frikha Denis Krompass Volker Tresp 199 11 0 10 Aug 2020
Memory Efficient Class-Incremental Learning for Image Classification Hanbin Zhao Haibo Wang Yongjian Fu Leilei Gan Xi Li CLL VLM 231 98 0 04 Aug 2020
Reparameterizing Convolutions for Incremental Multi-Task Learning without Task InterferenceEuropean Conference on Computer Vision (ECCV), 2020 Menelaos Kanakis David Brüggemann Suman Saha Stamatios Georgoulis Anton Obukhov Luc Van Gool CLL 212 78 0 24 Jul 2020
A Biologically Plausible Audio-Visual Integration Model for Continual LearningIEEE International Joint Conference on Neural Network (IJCNN), 2020 Wenjie Chen Fengtong Du Ye Wang Lihong Cao CLL 96 0 0 17 Jul 2020
Anatomy of Catastrophic Forgetting: Hidden Representations and Task SemanticsInternational Conference on Learning Representations (ICLR), 2020 V. Ramasesh Ethan Dyer M. Raghu CLL 292 192 0 14 Jul 2020
Sequential Domain Adaptation through Elastic Weight Consolidation for Sentiment Analysis Avinash Madasu Anvesh Rao Vijjini CLL 189 16 0 02 Jul 2020
Continual Learning: Tackling Catastrophic Forgetting in Deep Neural Networks with Replay Processes Timothée Lesort CLL 277 23 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 467 132 0 28 Jun 2020
Meta Transfer Learning for Emotion Recognition Dung Nguyen Sridha Sridharan Duc Thanh Nguyen Akila Pemasiri David Dean Clinton Fookes 127 18 0 23 Jun 2020
Automatic Recall Machines: Internal Replay, Continual Learning and the Brain Xu Ji Joao Henriques Tinne Tuytelaars Andrea Vedaldi KELM 200 11 0 22 Jun 2020
Understanding the Role of Training Regimes in Continual LearningNeural Information Processing Systems (NeurIPS), 2020 Seyed Iman Mirzadeh Mehrdad Farajtabar Razvan Pascanu H. Ghasemzadeh CLL 227 261 0 12 Jun 2020
Unsupervised Domain Expansion from Multiple Sources Jing Zhang Wanqing Li Lu Sheng Chang-Fu Tang P. Ogunbona 102 2 0 26 May 2020
3D deformable registration of longitudinal abdominopelvic CT images using unsupervised deep learning Maureen van Eijnatten L. Rundo K. Batenburg F. Lucka E. Beddowes C. Caldas F. Gallagher Evis Sala Carola-Bibiane Schönlieb Ramona Woitek 112 16 0 15 May 2020
Continual Learning Using Multi-view Task Conditional Neural Networks Honglin Li Payam Barnaghi Shirin Enshaeifar F. Ganz CLL 192 1 0 08 May 2020
Incremental Few-Shot Object Detection for RoboticsIEEE International Conference on Robotics and Automation (ICRA), 2020 Yiting Li H. Zhu Sichao Tian Fan Feng Jun Ma C. Teo Cheng Xiang P. Vadakkepat T. Lee ObjD CLL 197 14 0 06 May 2020