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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"

23 / 23 papers shown
Title
Multimodal Online Federated Learning with Modality Missing in Internet of Things
Multimodal Online Federated Learning with Modality Missing in Internet of Things
Heqiang Wang
Xiang Liu
Xiaoxiong Zhong
Lixing Chen
Fangming Liu
Weizhe Zhang
41
0
0
22 May 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
164
0
0
28 Jan 2025
MODL: Multilearner Online Deep Learning
MODL: Multilearner Online Deep Learning
Antonios Valkanas
Boris N. Oreshkin
Mark Coates
107
2
0
28 May 2024
Federated Transfer Learning with Dynamic Gradient Aggregation
Federated Transfer Learning with Dynamic Gradient Aggregation
Dimitrios Dimitriadis
K. Kumatani
R. Gmyr
Yashesh Gaur
Sefik Emre Eskimez
FedML
88
15
0
06 Aug 2020
Lifelong Learning with Dynamically Expandable Networks
Lifelong Learning with Dynamically Expandable Networks
Jaehong Yoon
Eunho Yang
Jeongtae Lee
Sung Ju Hwang
CLL
121
1,224
0
04 Aug 2017
Learning the Number of Neurons in Deep Networks
Learning the Number of Neurons in Deep Networks
J. Álvarez
Mathieu Salzmann
185
413
0
19 Nov 2016
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
468
5,373
0
05 Nov 2016
SOL: A Library for Scalable Online Learning Algorithms
SOL: A Library for Scalable Online Learning Algorithms
Yue-bo Wu
Guosheng Lin
Chenghao Liu
Jing Lu
Doyen Sahoo
Nenghai Yu
28
18
0
28 Oct 2016
Mollifying Networks
Mollifying Networks
Çağlar Gülçehre
Marcin Moczulski
Francesco Visin
Yoshua Bengio
64
46
0
17 Aug 2016
FractalNet: Ultra-Deep Neural Networks without Residuals
FractalNet: Ultra-Deep Neural Networks without Residuals
Gustav Larsson
Michael Maire
Gregory Shakhnarovich
163
941
0
24 May 2016
Deep Networks with Stochastic Depth
Deep Networks with Stochastic Depth
Gao Huang
Yu Sun
Zhuang Liu
Daniel Sedra
Kilian Q. Weinberger
215
2,357
0
30 Mar 2016
Network Morphism
Network Morphism
Tao Wei
Changhu Wang
Y. Rui
Chen Chen
75
176
0
05 Mar 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,020
0
10 Dec 2015
Net2Net: Accelerating Learning via Knowledge Transfer
Net2Net: Accelerating Learning via Knowledge Transfer
Tianqi Chen
Ian Goodfellow
Jonathon Shlens
162
669
0
18 Nov 2015
Learning Neural Network Architectures using Backpropagation
Learning Neural Network Architectures using Backpropagation
Suraj Srinivas
R. Venkatesh Babu
AI4CE
40
30
0
17 Nov 2015
Budget Online Multiple Kernel Learning
Budget Online Multiple Kernel Learning
Jing Lu
Guosheng Lin
Doyen Sahoo
P. Zhao
23
2
0
16 Nov 2015
Training Very Deep Networks
Training Very Deep Networks
R. Srivastava
Klaus Greff
Jürgen Schmidhuber
161
1,682
0
22 Jul 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
463
43,305
0
11 Feb 2015
The Loss Surfaces of Multilayer Networks
The Loss Surfaces of Multilayer Networks
A. Choromańska
Mikael Henaff
Michaël Mathieu
Gerard Ben Arous
Yann LeCun
ODL
261
1,198
0
30 Nov 2014
Deeply-Supervised Nets
Deeply-Supervised Nets
Chen-Yu Lee
Saining Xie
Patrick W. Gallagher
Zhengyou Zhang
Zhuowen Tu
346
2,240
0
18 Sep 2014
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
477
43,658
0
17 Sep 2014
Identifying and attacking the saddle point problem in high-dimensional
  non-convex optimization
Identifying and attacking the saddle point problem in high-dimensional non-convex optimization
Yann N. Dauphin
Razvan Pascanu
Çağlar Gülçehre
Kyunghyun Cho
Surya Ganguli
Yoshua Bengio
ODL
129
1,385
0
10 Jun 2014
Representation Learning: A Review and New Perspectives
Representation Learning: A Review and New Perspectives
Yoshua Bengio
Aaron Courville
Pascal Vincent
OODSSL
269
12,439
0
24 Jun 2012
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