Online Deep Learning: Learning Deep Neural Networks on the Fly

10 November 2017

Papers citing "Online Deep Learning: Learning Deep Neural Networks on the Fly"

50 / 51 papers shown

Title
Online Learning of Neural Networks Amit Daniely Idan Mehalel Elchanan Mossel MLT 29 3 0 14 May 2025
Neuroplasticity in Artificial Intelligence -- An Overview and Inspirations on Drop In & Out Learning Yupei Li M. Milling Björn Schuller AI4CE 107 0 0 27 Mar 2025
Online-BLS: An Accurate and Efficient Online Broad Learning System for Data Stream Classification Chunyu Lei Guang-Ze Chen Cen Chen Tao Zhang 64 0 0 28 Jan 2025
MODL: Multilearner Online Deep Learning Antonios Valkanas Boris N. Oreshkin Mark J. Coates 54 2 0 28 May 2024
Debiasing Multimodal Large Language Models Yi-Fan Zhang Weichen Yu Qingsong Wen Xue Wang Zhang Zhang Liang Wang Rong Jin Tien-Ping Tan 53 4 0 08 Mar 2024
Analysis and Applications of Deep Learning with Finite Samples in Full Life-Cycle Intelligence of Nuclear Power Generation Chenwei Tang Wenqiang Zhou Dong Wang Caiyang Yu Zhenan He ... Shudong Huang Yi Gao Jianming Chen Wentao Feng Jiancheng Lv AI4CE 33 0 0 07 Nov 2023
Chunking: Continual Learning is not just about Distribution Shift Thomas L. Lee Amos Storkey 30 1 0 03 Oct 2023
Brain-Inspired Spiking Neural Network for Online Unsupervised Time Series Prediction Biswadeep Chakraborty Saibal Mukhopadhyay 24 7 0 10 Apr 2023
AI for IT Operations (AIOps) on Cloud Platforms: Reviews, Opportunities and Challenges Qian Cheng Doyen Sahoo Amrita Saha Wenjing Yang Chenghao Liu Gerald Woo Manpreet Singh Silvio Saverese Guosheng Lin 42 18 0 10 Apr 2023
Aux-Drop: Handling Haphazard Inputs in Online Learning Using Auxiliary Dropouts Rohit Agarwal D. K. Gupta Alexander Horsch Dilip K. Prasad 69 5 0 09 Mar 2023
Deep Edge Intelligence: Architecture, Key Features, Enabling Technologies and Challenges Prabath Abeysekara Haipeng Dong •. A. K. Qin 19 0 0 24 Oct 2022
Efficient Bayesian Updates for Deep Learning via Laplace Approximations Denis Huseljic M. Herde Lukas Rauch Paul Hahn Zhixin Huang D. Kottke S. Vogt Bernhard Sick BDL 21 0 0 12 Oct 2022
SML:Enhance the Network Smoothness with Skip Meta Logit for CTR Prediction Wenlong Deng Lang Lang Zichen Liu B. Liu 26 0 0 09 Oct 2022
Towards Real-Time Temporal Graph Learning Deniz Gurevin Mohsin Shan Tong Geng Weiwen Jiang Caiwen Ding O. Khan AI4TS AI4CE 43 0 0 08 Oct 2022
Selecting Related Knowledge via Efficient Channel Attention for Online Continual Learning Ya-nan Han Jian-wei Liu CLL 25 0 0 09 Sep 2022
Adaptive Model Pooling for Online Deep Anomaly Detection from a Complex Evolving Data Stream Susik Yoon Youngjun Lee Jae-Gil Lee Byung Suk Lee 21 23 0 09 Jun 2022
On the Permanence of Backdoors in Evolving Models Huiying Li A. Bhagoji Yuxin Chen Haitao Zheng Ben Y. Zhao AAML 37 2 0 08 Jun 2022
Online Deep Learning from Doubly-Streaming Data H. Lian John Scovil Atwood Bo-Jian Hou Jian Wu Yi He 26 10 0 25 Apr 2022
CAIPI in Practice: Towards Explainable Interactive Medical Image Classification E. Slany Yannik Ott Stephan Scheele Jan Paulus Ute Schmid 22 8 0 06 Apr 2022
Deep learning enhanced Rydberg multifrequency microwave recognition Zongkai Liu Li-Hua Zhang Bang Liu Zhengli Zhang Guangtao Guo D. Ding B. Shi 19 45 0 28 Feb 2022
Bilevel Online Deep Learning in Non-stationary Environment Ya-nan Han Jian-wei Liu Bing-biao Xiao Xin-Tan Wang Xiong-lin Luo 30 3 0 25 Jan 2022
Online Deep Learning based on Auto-Encoder Siyun Zhang Jian-wei Liu Xin Zuo Run-kun Lu Siming Lian 45 6 0 19 Jan 2022
Decoding ECoG signal into 3D hand translation using deep learning Maciej Śliwowski Matthieu Martin Antoine Souloumiac P. Blanchart T. Aksenova 25 27 0 05 Oct 2021
Deep Neural Networks and Tabular Data: A Survey V. Borisov Tobias Leemann Kathrin Seßler Johannes Haug Martin Pawelczyk Gjergji Kasneci LMTD 47 650 0 05 Oct 2021
DualNet: Continual Learning, Fast and Slow Quang Pham Chenghao Liu Guosheng Lin CLL 77 44 0 01 Oct 2021
Unsupervised Continual Learning in Streaming Environments Andri Ashfahani Mahardhika Pratama 17 21 0 20 Sep 2021
Continual Backprop: Stochastic Gradient Descent with Persistent Randomness Shibhansh Dohare R. Sutton A. R. Mahmood CLL 52 81 0 13 Aug 2021
Self-supervised optimization of random material microstructures in the small-data regime Maximilian Rixner P. Koutsourelakis AI4CE 19 15 0 05 Aug 2021
Autonomous Deep Quality Monitoring in Streaming Environments Andri Ashfahani Mahardhika Pratama E. Lughofer E. Yapp 36 4 0 26 Jun 2021
A Survey on Semi-Supervised Learning for Delayed Partially Labelled Data Streams Heitor Murilo Gomes Maciej Grzenda R. Mello Jesse Read Minh-Huong Le Nguyen Albert Bifet 38 45 0 16 Jun 2021
Dynamic Gradient Aggregation for Federated Domain Adaptation Dimitrios Dimitriadis K. Kumatani R. Gmyr Yashesh Gaur Sefik Emre Eskimez FedML 26 5 0 14 Jun 2021
Class-Incremental Experience Replay for Continual Learning under Concept Drift Lukasz Korycki Bartosz Krawczyk 23 31 0 24 Apr 2021
Concept Drift Detection from Multi-Class Imbalanced Data Streams Lukasz Korycki Bartosz Krawczyk 24 40 0 20 Apr 2021
Towards Self-Adaptive Metric Learning On the Fly Y. Gao Yifan Li Swarup Chandra Latifur Khan B. Thuraisingham 27 21 0 03 Apr 2021
Learning Dynamic Network Using a Reuse Gate Function in Semi-supervised Video Object Segmentation Hyojin Park Jayeon Yoo Seohyeong Jeong Ganesh Venkatesh Nojun Kwak VOS 31 36 0 21 Dec 2020
Active Learning for Noisy Data Streams Using Weak and Strong Labelers Taraneh Younesian Dick H. J. Epema L. Chen 23 11 0 27 Oct 2020
Connection Pruning for Deep Spiking Neural Networks with On-Chip Learning Thao N. N. Nguyen B. Veeravalli Xuanyao Fong 6 13 0 09 Oct 2020
A Wholistic View of Continual Learning with Deep Neural Networks: Forgotten Lessons and the Bridge to Active and Open World Learning Martin Mundt Yongjun Hong Iuliia Pliushch Visvanathan Ramesh CLL 30 146 0 03 Sep 2020
Pay Attention to Evolution: Time Series Forecasting with Deep Graph-Evolution Learning Gabriel Spadon linda Qiao Bruno Brandoli Stan Matwin Jose F. Rodrigues-Jr Jimeng Sun AI4TS 31 57 0 28 Aug 2020
Federated Transfer Learning with Dynamic Gradient Aggregation Dimitrios Dimitriadis K. Kumatani R. Gmyr Yashesh Gaur Sefik Emre Eskimez FedML 24 15 0 06 Aug 2020
Weakly Supervised Vessel Segmentation in X-ray Angiograms by Self-Paced Learning from Noisy Labels with Suggestive Annotation Jingyang Zhang Guotai Wang Hongzhi Xie Shuyang Zhang Ning Huang Shaoting Zhang Lixu Gu 35 41 0 27 May 2020
Physics-Guided Deep Neural Networks for Power Flow Analysis Xinyue Hu Haoji Hu Saurabh Verma Zhi-Li Zhang 128 124 0 31 Jan 2020
QActor: On-line Active Learning for Noisy Labeled Stream Data Taraneh Younesian Zilong Zhao Amirmasoud Ghiassi Robert Birke L. Chen 7 5 0 28 Jan 2020
Deep Online Learning via Meta-Learning: Continual Adaptation for Model-Based RL Anusha Nagabandi Chelsea Finn Sergey Levine OffRL CLL 16 192 0 18 Dec 2018
Task-Free Continual Learning Rahaf Aljundi Klaas Kelchtermans Tinne Tuytelaars CLL 35 354 0 10 Dec 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
Online Learning: A Comprehensive Survey Guosheng Lin Doyen Sahoo Jing Lu P. Zhao OffRL 29 634 0 08 Feb 2018
Malicious URL Detection using Machine Learning: A Survey Doyen Sahoo Chenghao Liu Guosheng Lin MU AAML 35 321 0 25 Jan 2017
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 274 5,330 0 05 Nov 2016