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Online Deep Learning: Learning Deep Neural Networks on the Fly

Online Deep Learning: Learning Deep Neural Networks on the Fly

10 November 2017
Doyen Sahoo
Quang Pham
Jing Lu
Guosheng Lin
    OnRLAI4CE
ArXiv (abs)PDFHTML

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

50 / 118 papers shown
Event-Driven Online Vertical Federated Learning
Event-Driven Online Vertical Federated LearningInternational Conference on Learning Representations (ICLR), 2025
Ganyu Wang
Boyu Wang
Bin Gu
Charles Ling
229
1
0
17 Jun 2025
Multimodal Online Federated Learning with Modality Missing in Internet of Things
Multimodal Online Federated Learning with Modality Missing in Internet of ThingsIEEE Transactions on Mobile Computing (IEEE TMC), 2025
Heqiang Wang
Xiang Liu
Xiaoxiong Zhong
Lixing Chen
Fangming Liu
Weizhe Zhang
226
1
0
22 May 2025
Online Learning of Neural Networks
Online Learning of Neural Networks
Amit Daniely
Idan Mehalel
Elchanan Mossel
MLT
253
5
0
14 May 2025
Neuroplasticity in Artificial Intelligence -- An Overview and Inspirations on Drop In & Out Learning
Neuroplasticity in Artificial Intelligence -- An Overview and Inspirations on Drop In & Out Learning
Yupei Li
M. Milling
Björn Schuller
AI4CE
566
4
0
27 Mar 2025
Ferret: An Efficient Online Continual Learning Framework under Varying Memory Constraints
Ferret: An Efficient Online Continual Learning Framework under Varying Memory ConstraintsComputer Vision and Pattern Recognition (CVPR), 2025
Yuhao Zhou
Yuxin Tian
Jindi Lv
Mingjia Shi
Yuanxi Li
Qing Ye
Shuhao Zhang
Jiancheng Lv
CLL
283
1
0
15 Mar 2025
Online-BLS: An Accurate and Efficient Online Broad Learning System for Data Stream Classification
Online-BLS: An Accurate and Efficient Online Broad Learning System for Data Stream Classification
Chunyu Lei
Guang-Ze Chen
Chong Chen
Tianze Zhang
291
1
0
28 Jan 2025
Act Now: A Novel Online Forecasting Framework for Large-Scale Streaming
  Data
Act Now: A Novel Online Forecasting Framework for Large-Scale Streaming Data
Daojun Liang
Haixia Zhang
Jing Wang
Dongfeng Yuan
Minggao Zhang
AI4TS
366
1
0
28 Nov 2024
Online Relational Inference for Evolving Multi-agent Interacting Systems
Online Relational Inference for Evolving Multi-agent Interacting SystemsNeural Information Processing Systems (NeurIPS), 2024
Beomseok Kang
Priyabrata Saha
Sudarshan Sharma
Biswadeep Chakraborty
Saibal Mukhopadhyay
OffRL
386
5
0
03 Nov 2024
Interactive Design-of-Experiments: Optimizing a Cooling System
Interactive Design-of-Experiments: Optimizing a Cooling SystemIEEE Transactions on Visualization and Computer Graphics (TVCG), 2024
R. Splechtna
Majid Behravan
Mario Jelovic
Denis Gračanin
H. Hauser
Kresimir Matkovic
AI4CE
116
7
0
08 Aug 2024
Do Not Wait: Learning Re-Ranking Model Without User Feedback At Serving
  Time in E-Commerce
Do Not Wait: Learning Re-Ranking Model Without User Feedback At Serving Time in E-Commerce
Yuan Wang
Zhiyu Li
Changshuo Zhang
Sirui Chen
Xiao Zhang
Jun Xu
Quan Lin
209
3
0
20 Jun 2024
Federated Learning-based Collaborative Wideband Spectrum Sensing and
  Scheduling for UAVs in UTM Systems
Federated Learning-based Collaborative Wideband Spectrum Sensing and Scheduling for UAVs in UTM Systems
Sravan Reddy Chintareddy
Keenan Roach
Kenny Cheung
Morteza Hashemi
165
8
0
03 Jun 2024
Improving Segment Anything on the Fly: Auxiliary Online Learning and
  Adaptive Fusion for Medical Image Segmentation
Improving Segment Anything on the Fly: Auxiliary Online Learning and Adaptive Fusion for Medical Image Segmentation
Tianyu Huang
Tao Zhou
Weidi Xie
Shuo Wang
Qingquan Dou
Yizhe Zhang
MedIm
181
1
0
03 Jun 2024
MODL: Multilearner Online Deep Learning
MODL: Multilearner Online Deep Learning
Antonios Valkanas
Boris N. Oreshkin
Mark Coates
378
2
0
28 May 2024
This Too Shall Pass: Removing Stale Observations in Dynamic Bayesian
  Optimization
This Too Shall Pass: Removing Stale Observations in Dynamic Bayesian OptimizationNeural Information Processing Systems (NeurIPS), 2024
Anthony Bardou
Patrick Thiran
Giovanni Ranieri
187
5
0
23 May 2024
Employing Two-Dimensional Word Embedding for Difficult Tabular Data
  Stream Classification
Employing Two-Dimensional Word Embedding for Difficult Tabular Data Stream Classification
P. Zyblewski
204
2
0
24 Apr 2024
Online Learning under Haphazard Input Conditions: A Comprehensive Review
  and Analysis
Online Learning under Haphazard Input Conditions: A Comprehensive Review and Analysis
Rohit Agarwal
Arijit Das
Alexander Horsch
Krishna Agarwal
Dilip K. Prasad
170
2
0
07 Apr 2024
Debiasing Multimodal Large Language Models via Penalization of Language Priors
Debiasing Multimodal Large Language Models via Penalization of Language Priors
Yi-Fan Zhang
Weichen Yu
Qingsong Wen
Qingsong Wen
Zhang Zhang
Wenjing Yang
Rong Jin
Tien-Ping Tan
Rong Jin
381
17
0
08 Mar 2024
Dynamic Long-Term Time-Series Forecasting via Meta Transformer Networks
Dynamic Long-Term Time-Series Forecasting via Meta Transformer NetworksIEEE Transactions on Artificial Intelligence (IEEE TAI), 2024
M. A. Ma'sum
MD Rasel Sarkar
Mahardhika Pratama
Savitha Ramasamy
S. Anavatti
Lin Liu
Habibullah Habibullah
Ryszard Kowalczyk
AI4TS
191
1
0
25 Jan 2024
Online Vertical Federated Learning for Cooperative Spectrum Sensing
Online Vertical Federated Learning for Cooperative Spectrum Sensing
Heqiang Wang
Jie Xu
199
9
0
18 Dec 2023
Analysis and Applications of Deep Learning with Finite Samples in Full
  Life-Cycle Intelligence of Nuclear Power Generation
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
241
0
0
07 Nov 2023
Jointly-Learned Exit and Inference for a Dynamic Neural Network :
  JEI-DNN
Jointly-Learned Exit and Inference for a Dynamic Neural Network : JEI-DNN
Florence Regol
Joud Chataoui
Mark Coates
277
15
0
13 Oct 2023
Untargeted White-box Adversarial Attack with Heuristic Defence Methods
  in Real-time Deep Learning based Network Intrusion Detection System
Untargeted White-box Adversarial Attack with Heuristic Defence Methods in Real-time Deep Learning based Network Intrusion Detection SystemComputer Communications (Comput. Commun.), 2023
Khushnaseeb Roshan
Aasim Zafar
Sheikh Burhan Ul Haque
AAML
371
60
0
05 Oct 2023
Chunking: Continual Learning is not just about Distribution Shift
Chunking: Continual Learning is not just about Distribution Shift
Thomas L. Lee
Amos Storkey
235
2
0
03 Oct 2023
GRANDE: Gradient-Based Decision Tree Ensembles for Tabular Data
GRANDE: Gradient-Based Decision Tree Ensembles for Tabular DataInternational Conference on Learning Representations (ICLR), 2023
Sascha Marton
Stefan Lüdtke
Christian Bartelt
Heiner Stuckenschmidt
LMTD
243
12
0
29 Sep 2023
High Throughput Training of Deep Surrogates from Large Ensemble Runs
High Throughput Training of Deep Surrogates from Large Ensemble RunsInternational Conference for High Performance Computing, Networking, Storage and Analysis (SC), 2023
Lucas Meyer
M. Schouler
R. Caulk
Alejandro Ribés
Bruno Raffin
AI4CE
178
7
0
28 Sep 2023
EANet: Expert Attention Network for Online Trajectory Prediction
EANet: Expert Attention Network for Online Trajectory Prediction
Pengfei Yao
Tianlu Mao
Min Shi
Jingkai Sun
Zhaoqi Wang
237
1
0
11 Sep 2023
Continually learning out-of-distribution spatiotemporal data for robust
  energy forecasting
Continually learning out-of-distribution spatiotemporal data for robust energy forecasting
Arian Prabowo
Kaixuan Chen
Hao Xue
Subbu Sethuvenkatraman
Flora D. Salim
OOD
271
11
0
10 Jun 2023
A Gradient-based Approach for Online Robust Deep Neural Network Training
  with Noisy Labels
A Gradient-based Approach for Online Robust Deep Neural Network Training with Noisy Labels
Yifan Yang
Alec Koppel
Zheng Zhang
NoLa
208
3
0
08 Jun 2023
An FPGA Architecture for Online Learning using the Tsetlin Machine
An FPGA Architecture for Online Learning using the Tsetlin Machine
Samuel Prescott
A. Wheeldon
Rishad Shafik
Tousif Rahman
Alex Yakovlev
Ole-Christoffer Granmo
95
1
0
01 Jun 2023
Trompt: Towards a Better Deep Neural Network for Tabular Data
Trompt: Towards a Better Deep Neural Network for Tabular DataInternational Conference on Machine Learning (ICML), 2023
Kuan-Yu Chen
Ping-Han Chiang
Hsin-Rung Chou
Tingwei Chen
Tien-Hao Chang
VPVLMLMTDVLM
180
33
0
29 May 2023
Brain-Inspired Spiking Neural Network for Online Unsupervised Time
  Series Prediction
Brain-Inspired Spiking Neural Network for Online Unsupervised Time Series PredictionIEEE International Joint Conference on Neural Network (IJCNN), 2023
Biswadeep Chakraborty
Saibal Mukhopadhyay
231
8
0
10 Apr 2023
AI for IT Operations (AIOps) on Cloud Platforms: Reviews, Opportunities
  and Challenges
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
365
36
0
10 Apr 2023
Aux-Drop: Handling Haphazard Inputs in Online Learning Using Auxiliary
  Dropouts
Aux-Drop: Handling Haphazard Inputs in Online Learning Using Auxiliary Dropouts
Rohit Agarwal
D. K. Gupta
Alexander Horsch
Dilip K. Prasad
219
5
0
09 Mar 2023
Deep Edge Intelligence: Architecture, Key Features, Enabling
  Technologies and Challenges
Deep Edge Intelligence: Architecture, Key Features, Enabling Technologies and Challenges
Prabath Abeysekara
Haipeng Dong
•. A. K. Qin
126
1
0
24 Oct 2022
Efficient Bayesian Updates for Deep Learning via Laplace Approximations
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
234
0
0
12 Oct 2022
SML:Enhance the Network Smoothness with Skip Meta Logit for CTR
  Prediction
SML:Enhance the Network Smoothness with Skip Meta Logit for CTR Prediction
Wenlong Deng
Lang Lang
Ziqiang Liu
B. Liu
165
0
0
09 Oct 2022
Towards Real-Time Temporal Graph Learning
Towards Real-Time Temporal Graph LearningICCD (ICCD), 2022
Deniz Gurevin
Mohsin Shan
Tong Geng
Weiwen Jiang
Caiwen Ding
O. Khan
AI4TSAI4CE
182
0
0
08 Oct 2022
Selecting Related Knowledge via Efficient Channel Attention for Online
  Continual Learning
Selecting Related Knowledge via Efficient Channel Attention for Online Continual LearningIEEE International Joint Conference on Neural Network (IJCNN), 2022
Ya-nan Han
Jian Liu
CLL
143
0
0
09 Sep 2022
KEEP: An Industrial Pre-Training Framework for Online Recommendation via
  Knowledge Extraction and Plugging
KEEP: An Industrial Pre-Training Framework for Online Recommendation via Knowledge Extraction and PluggingInternational Conference on Information and Knowledge Management (CIKM), 2022
Yujing Zhang
Zhangming Chan
Shuhao Xu
Weijie Bian
Shuguang Han
Hongbo Deng
Bo Zheng
151
26
0
22 Aug 2022
ORFit: One-Pass Learning via Bridging Orthogonal Gradient Descent and Recursive Least-Squares
ORFit: One-Pass Learning via Bridging Orthogonal Gradient Descent and Recursive Least-SquaresIEEE Conference on Decision and Control (CDC), 2022
Youngjae Min
Kwangjun Ahn
Navid Azizan
341
23
0
28 Jul 2022
Adaptive Model Pooling for Online Deep Anomaly Detection from a Complex
  Evolving Data Stream
Adaptive Model Pooling for Online Deep Anomaly Detection from a Complex Evolving Data StreamKnowledge Discovery and Data Mining (KDD), 2022
Susik Yoon
Youngjun Lee
Jae-Gil Lee
Byung Suk Lee
88
39
0
09 Jun 2022
On the Permanence of Backdoors in Evolving Models
On the Permanence of Backdoors in Evolving Models
Huiying Li
A. Bhagoji
Yuxin Chen
Haitao Zheng
Ben Y. Zhao
AAML
249
3
0
08 Jun 2022
Online Deep Learning from Doubly-Streaming Data
Online Deep Learning from Doubly-Streaming DataACM Multimedia (ACM MM), 2022
H. Lian
John Scovil Atwood
Bo-Jian Hou
Jian Wu
Yi He
221
16
0
25 Apr 2022
GAMORRA: An API-Level Workload Model for Rasterization-based Graphics
  Pipeline Architecture
GAMORRA: An API-Level Workload Model for Rasterization-based Graphics Pipeline ArchitectureComputers & graphics (Comput. Graph.), 2022
I. Mohammadi
M. Ghanbari
M. Hashemi
70
3
0
23 Apr 2022
CAIPI in Practice: Towards Explainable Interactive Medical Image
  Classification
CAIPI in Practice: Towards Explainable Interactive Medical Image ClassificationArtificial Intelligence Applications and Innovations (AIAI), 2022
E. Slany
Yannik Ott
Stephan Scheele
Jan Paulus
Ute Schmid
209
10
0
06 Apr 2022
FLUTE: A Scalable, Extensible Framework for High-Performance Federated
  Learning Simulations
FLUTE: A Scalable, Extensible Framework for High-Performance Federated Learning Simulations
Mirian Hipolito Garcia
Andre Manoel
Daniel Madrigal Diaz
Fatemehsadat Mireshghallah
Robert Sim
Dimitrios Dimitriadis
FedML
253
64
0
25 Mar 2022
Deep learning enhanced Rydberg multifrequency microwave recognition
Deep learning enhanced Rydberg multifrequency microwave recognitionNature Communications (Nat Commun), 2022
Zongkai Liu
Li-Hua Zhang
Bang Liu
Zhengli Zhang
Guangtao Guo
D. Ding
B. Shi
125
65
0
28 Feb 2022
ONE-NAS: An Online NeuroEvolution based Neural Architecture Search for
  Time Series Forecasting
ONE-NAS: An Online NeuroEvolution based Neural Architecture Search for Time Series Forecasting
Zimeng Lyu
Travis J. Desell
AI4TS
107
6
0
27 Feb 2022
Learning Fast and Slow for Online Time Series Forecasting
Learning Fast and Slow for Online Time Series ForecastingInternational Conference on Learning Representations (ICLR), 2022
Quang Pham
Chenghao Liu
Doyen Sahoo
Guosheng Lin
TTAAI4TS
222
54
0
23 Feb 2022
Asymptotically Unbiased Estimation for Delayed Feedback Modeling via
  Label Correction
Asymptotically Unbiased Estimation for Delayed Feedback Modeling via Label CorrectionThe Web Conference (WWW), 2022
Yu Chen
Jiaqi Jin
Hui Zhao
Pengjie Wang
Guojun Liu
Jian Xu
Bo Zheng
146
23
0
14 Feb 2022
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