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On the Origin of Deep Learning

On the Origin of Deep Learning

24 February 2017
Haohan Wang
Bhiksha Raj
    MedIm
    3DV
    VLM
ArXivPDFHTML

Papers citing "On the Origin of Deep Learning"

18 / 18 papers shown
Title
Exploring the Potential of Large Language Models for Improving Digital Forensic Investigation Efficiency
Exploring the Potential of Large Language Models for Improving Digital Forensic Investigation Efficiency
Akila Wickramasekara
F. Breitinger
Mark Scanlon
44
8
0
29 Feb 2024
Foundation models in brief: A historical, socio-technical focus
Foundation models in brief: A historical, socio-technical focus
Johannes Schneider
VLM
21
9
0
17 Dec 2022
Analysis and prediction of heart stroke from ejection fraction and serum
  creatinine using LSTM deep learning approach
Analysis and prediction of heart stroke from ejection fraction and serum creatinine using LSTM deep learning approach
Md. Ershadul Haque
Salah Uddin
Md. Ariful Islam
Amira Khanom
A. Suman
M. Paul
12
2
0
28 Sep 2022
COVID-19 Diagnosis from Cough Acoustics using ConvNets and Data
  Augmentation
COVID-19 Diagnosis from Cough Acoustics using ConvNets and Data Augmentation
Saranga Kingkor Mahanta
Darsh Kaushik
Shubham Jain
Hoang Van Truong
K. Guha
25
10
0
12 Oct 2021
Trends in deep learning for medical hyperspectral image analysis
Trends in deep learning for medical hyperspectral image analysis
Uzair Khan
Sidike Paheding
Colin P. Elkin
Vijay Devabhaktuni
OOD
19
58
0
27 Nov 2020
Continual Learning with Deep Artificial Neurons
Continual Learning with Deep Artificial Neurons
Blake Camp
J. Mandivarapu
Rolando Estrada
13
8
0
13 Nov 2020
Fast and Accurate Person Re-Identification with RMNet
Fast and Accurate Person Re-Identification with RMNet
Evgeny Izutov
3DH
18
6
0
06 Dec 2018
A Survey and Critique of Multiagent Deep Reinforcement Learning
A Survey and Critique of Multiagent Deep Reinforcement Learning
Pablo Hernandez-Leal
Bilal Kartal
Matthew E. Taylor
OffRL
27
549
0
12 Oct 2018
Removing Confounding Factors Associated Weights in Deep Neural Networks
  Improves the Prediction Accuracy for Healthcare Applications
Removing Confounding Factors Associated Weights in Deep Neural Networks Improves the Prediction Accuracy for Healthcare Applications
Haohan Wang
Zhenglin Wu
Eric P. Xing
OOD
29
40
0
20 Mar 2018
Demystifying Parallel and Distributed Deep Learning: An In-Depth
  Concurrency Analysis
Demystifying Parallel and Distributed Deep Learning: An In-Depth Concurrency Analysis
Tal Ben-Nun
Torsten Hoefler
GNN
22
701
0
26 Feb 2018
Overcoming catastrophic forgetting with hard attention to the task
Overcoming catastrophic forgetting with hard attention to the task
Joan Serra
Dídac Surís
M. Miron
Alexandros Karatzoglou
CLL
27
1,048
0
04 Jan 2018
Deep Learning Paradigm with Transformed Monolingual Word Embeddings for
  Multilingual Sentiment Analysis
Deep Learning Paradigm with Transformed Monolingual Word Embeddings for Multilingual Sentiment Analysis
Yujie Lu
Tatsunori Mori
30
5
0
09 Oct 2017
Deep Reinforcement Learning: An Overview
Deep Reinforcement Learning: An Overview
Yuxi Li
OffRL
VLM
104
1,502
0
25 Jan 2017
Select-Additive Learning: Improving Generalization in Multimodal
  Sentiment Analysis
Select-Additive Learning: Improving Generalization in Multimodal Sentiment Analysis
Haohan Wang
Aaksha Meghawat
Louis-Philippe Morency
Eric P. Xing
13
151
0
16 Sep 2016
Pixel Recurrent Neural Networks
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSeg
GAN
230
2,545
0
25 Jan 2016
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
230
7,903
0
13 Jun 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
177
1,185
0
30 Nov 2014
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
260
7,634
0
03 Jul 2012
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