tag :: deep networks

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1Chen-Cai-OSU/awesome-equivariant-network: Paper list for equivariant neural network
https://github.com/Chen-Cai-OSU/awesome-equivariant-network
a year ago by @becker
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group
equivariant
neural
networks
nn
geometric
deep
learning
network
mmis
kirste
groupequivariantneuralnetworksnngeometricdeeplearningnetworkmmiskirste
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1A Comprehensive Hands-on Guide to Transfer Learning with Real-World Applications in Deep Learning
https://towardsdatascience.com/a-comprehensive-hands-on-guide-to-transfer-learning-with-real-world-applications-in-deep-learning-212bf3b2f27a
4 years ago by @becker
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transfer
learning
neural
network
networks
nn
project
butterfly
echo
deep
transferlearningneuralnetworknetworksnnprojectbutterflyechodeep
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1Dive into Deep Learning — Dive into Deep Learning documentation
http://d2l.ai/index.html
5 years ago by @becker
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book
deep
learning
tutorial
neural
networks
jupyter
bookdeeplearningtutorialneuralnetworksjupyter
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8The Unreasonable Effectiveness of Recurrent Neural Networks
http://karpathy.github.io/2015/05/21/rnn-effectiveness/
8 years ago by @becker
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blog
code
deep
examples
latex
learning
music
networks
neural
rnn
text
blogcodedeepexampleslatexlearningmusicnetworksneuralrnntext
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1Marek Rei - Thoughts on Machine Learning and Natural Language Processing
http://www.marekrei.com/blog/
8 years ago by @becker
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blog
deep
learning
networks
neural
theano
tutorial
blogdeeplearningnetworksneuraltheanotutorial
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1DeepMask Transforming Face Mask Identification for Better Pandemic Control in the COVID 19 Era
D. Yadav. INTERNATIONAL JOURNAL OF TREND IN SCIENTIFIC RESEARCH AND DEVELOPMENT, 8 (1): 857-862 (February 2024)
2 months ago by @ijtsrd
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(CNNs),
COVID-19,
Convolutional
Deep
Face
Networks
Neural
Preventive
Technological
Transfer
health,
identification,
learning,
mask
measures,
public
solutions
(CNNs),COVID-19,ConvolutionalDeepFaceNetworksNeuralPreventiveTechnologicalTransferhealth,identification,learning,maskmeasures,publicsolutions
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3Inductive and transductive link prediction for criminal network analysis
Z. Ahmadi, H. Nguyen, Z. Zhang, D. Bozhkov, D. Kudenko, M. Jofre, F. Calderoni, N. Cohen, and Y. Solewicz. Journal of Computational Science, (September 2023)
3 months ago by @erichoang
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#rank1
Co-offender
Crime
Deep
Inductive
Machine
Repeat
Transductive
learning
link
linkage
myown
networks
neural
offenders
prediction
#rank1Co-offenderCrimeDeepInductiveMachineRepeatTransductivelearninglinklinkagemyownnetworksneuraloffendersprediction
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3Inductive and transductive link prediction for criminal network analysis
Z. Ahmadi, H. Nguyen, Z. Zhang, D. Bozhkov, D. Kudenko, M. Jofre, F. Calderoni, N. Cohen, and Y. Solewicz. Journal of Computational Science, (September 2023)
3 months ago by @l3s
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myown
neural
from:erichoang
Transductive
learning
linkage
Deep
Repeat
link
#rank1
networks
Machine
offenders
Co-offender
Crime
Inductive
prediction
myownneuralfrom:erichoangTransductivelearninglinkageDeepRepeatlink#rank1networksMachineoffendersCo-offenderCrimeInductiveprediction
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1Detection of Diabetic Retinopathy in Retinal Image Early Identification using Deep CNN
M. Vadivel. INTERNATIONAL JOURNAL OF TREND IN SCIENTIFIC RESEARCH AND DEVELOPMENT, 7 (2): 557-565 (April 2023)
10 months ago by @ijtsrd
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Accuracy
Convolutional
Deep
Diabetic
Networks
Neural
Retinopathy
Sensitivity
Specificity
AccuracyConvolutionalDeepDiabeticNetworksNeuralRetinopathySensitivitySpecificity
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1Deep Learning Architectures Framework for Emerging Outbreak Forecasting of Mpox: A Bagged Ensemble Scheme to Model Accurate Prediction Intervals
M. Soto-Ferrari, A. Carrasco-Pena, and D. Prieto. (May 2023)
11 months ago by @acarrascopena
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Deep
LSTM
Learning
MPox
Networks
myown
DeepLSTMLearningMPoxNetworksmyown
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1Predicting Customer Call Intent for the Auto Dealership Industry from Analyzing Phone Call Transcripts With CNN for Multiclass Classification
J. Zhong, and W. Li. International Journal on Soft Computing, Artificial Intelligence and Applications (IJSCAI), 8 (3): 13 (August 2019)
2 years ago by @leninsha
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Artificial
Auto
Call
Convolutional
Customer
Dealership
Deep
Embeddings
Industry
Intelligence
Intent
Learning
Networks
Neural
Prediction.
Word
ArtificialAutoCallConvolutionalCustomerDealershipDeepEmbeddingsIndustryIntelligenceIntentLearningNetworksNeuralPrediction.Word
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1Bayesian Structure Learning with Generative Flow Networks
T. Deleu, A. Góis, C. Emezue, M. Rankawat, S. Lacoste-Julien, S. Bauer, and Y. Bengio. arXiv preprint arXiv:2202.13903, (2022)
2 years ago by @becker
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toread
flow
mass
cytometry
cytof
bayes
neural
networks
bayesian
deep
learning
toreadflowmasscytometrycytofbayesneuralnetworksbayesiandeeplearning
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2Climate Downscaling Using YNet: A Deep Convolutional Network with Skip Connections and Fusion
Y. Liu, A. Ganguly, and J. Dy. Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, page 3145–3153. New York, NY, USA, ACM, (2020)
2 years ago by @msteininger
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climate
deep
downscaling,
networks
neural
resolution,
super
climatedeepdownscaling,networksneuralresolution,super
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3Explainable Deep Few-shot Anomaly Detection with Deviation Networks
G. Pang, C. Ding, C. Shen, and A. van den Hengel. CoRR, (2021)
2 years ago by @andolab
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Anomaly
Deep
Detection
Deviation
Explainable
Few-shot
Networks
with
AnomalyDeepDetectionDeviationExplainableFew-shotNetworkswith
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7Model-agnostic meta-learning for fast adaptation of deep networks
C. Finn, P. Abbeel, and S. Levine. International Conference on Machine Learning, page 1126--1135. PMLR, (2017)
3 years ago by @becker
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meta
learning
deep
neural
networks
nn
model
agnostic
citedby:scholar:count:4566
citedby:scholar:timestamp:2021-10-16
metalearningdeepneuralnetworksnnmodelagnosticcitedby:scholar:count:4566citedby:scholar:timestamp:2021-10-16
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1Meta-Learning in Neural Networks: A Survey
T. Hospedales, A. Antoniou, P. Micaelli, and A. Storkey. IEEE Transactions on Pattern Analysis and Machine Intelligence, (2021)
3 years ago by @becker
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project:bmbf
meta
learning
deep
neural
networks
project:bmbfmetalearningdeepneuralnetworks
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4Training generative adversarial networks with limited data
T. Karras, M. Aittala, J. Hellsten, S. Laine, J. Lehtinen, and T. Aila. arXiv preprint arXiv:2006.06676, (2020)
3 years ago by @becker
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training
generative
adversarial
networks
gan
limited
data
small
datasets
set
model
neural
network
deep
learning
citedby:scholar:count:128
citedby:scholar:timestamp:2021-7-20
traininggenerativeadversarialnetworksganlimiteddatasmalldatasetssetmodelneuralnetworkdeeplearningcitedby:scholar:count:128citedby:scholar:timestamp:2021-7-20
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1Detection of Number Plate using Yolo
A. Bargavi. International Journal of Trend in Scientific Research and Development, 5 (4): 434-438 (June 2021)
3 years ago by @ijtsrd
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(NN)
(You
Deep
License
Look
Networks
Neural
Once)
Only
Plate
YOLO
learning
(NN)(YouDeepLicenseLookNetworksNeuralOnce)OnlyPlateYOLOlearning
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3Overfitting Mechanism and Avoidance in Deep Neural Networks
S. Salman, and X. Liu. (2019)cite arxiv:1901.06566Comment: 8 pages, 8 figures.
3 years ago by @pkoch
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avoidance
deep
learning
networks
neural
overfitting
avoidancedeeplearningnetworksneuraloverfitting
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3Deep multimodality model for multi-task multi-view learning
L. Zheng, Y. Cheng, and J. He. Proceedings of the 2019 SIAM International Conference on Data Mining, page 10--18. SIAM, (2019)
3 years ago by @becker
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paper:milkreview:selected
multi
task
modal
multitask
multimodal
machine
learning
multiview
view
deep
neural
networks
citedby:scholar:count:6
citedby:scholar:timestamp:2021-5-29
paper:milkreview:selectedmultitaskmodalmultitaskmultimodalmachinelearningmultiviewviewdeepneuralnetworkscitedby:scholar:count:6citedby:scholar:timestamp:2021-5-29
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7An overview of multi-task learning in deep neural networks
S. Ruder. arXiv preprint arXiv:1706.05098, (2017)
3 years ago by @becker
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paper:milkreview:selected
multi
task
learning
machine
neural
networks
deep
overview
survey
citedby:scholar:count:1237
citedby:scholar:timestamp:2021-5-29
paper:milkreview:selectedmultitasklearningmachineneuralnetworksdeepoverviewsurveycitedby:scholar:count:1237citedby:scholar:timestamp:2021-5-29
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1Prediction of Cervical Cancer using Machine Learning and Deep Learning Algorithms
K. Kanimozhi. International Journal of Trend in Scientific Research and Development, 4 (6): 426-430 (September 2020)
3 years ago by @ijtsrd
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Cancer
Cervical
Dataset
Decision
Deep
Forest
Logistic
Machine
Neural
Random
SVM
Tree
learning
networks
regression
CancerCervicalDatasetDecisionDeepForestLogisticMachineNeuralRandomSVMTreelearningnetworksregression
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2Relational inductive biases, deep learning, and graph networks
P. Battaglia, J. Hamrick, V. Bapst, A. Sanchez-Gonzalez, V. Zambaldi, M. Malinowski, A. Tacchetti, D. Raposo, A. Santoro, R. Faulkner and 1 other author(s). arXiv preprint arXiv:1806.01261, (2018)
4 years ago by @becker
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inductive
bias
bayes
bayesian
neural
network
deep
learning
relational
graph
networks
citedby:scholar:count:761
citedby:scholar:timestamp:2020-9-18
inductivebiasbayesbayesianneuralnetworkdeeplearningrelationalgraphnetworkscitedby:scholar:count:761citedby:scholar:timestamp:2020-9-18
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3Deep learning for time series classification: a review
H. Ismail Fawaz, G. Forestier, J. Weber, L. Idoumghar, and P. Muller. Data Mining and Knowledge Discovery, 33 (4): 917--963 (Jul 1, 2019)
4 years ago by @becker
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classification
cnn
deep
learning
networks
neural
nn
series
time
classificationcnndeeplearningnetworksneuralnnseriestime
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2Utilizing Molecular Network Information via Graph Convolutional Neural Networks to Predict Metastatic Event in Breast Cancer.
H. Chereda, A. Bleckmann, F. Kramer, A. Leha, and T. Beissbarth. GMDS, page 181--186. (2019)
4 years ago by @becker
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breast
cancer
citedby:scholar:count:2
citedby:scholar:timestamp:2020-8-2
convolutional
deep
graph
learning
molecular
networks
neural
project:bmbf
breastcancercitedby:scholar:count:2citedby:scholar:timestamp:2020-8-2convolutionaldeepgraphlearningmolecularnetworksneuralproject:bmbf
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1Chen-Cai-OSU/awesome-equivariant-network: Paper list for equivariant neural network

1A Comprehensive Hands-on Guide to Transfer Learning with Real-World Applications in Deep Learning

1Dive into Deep Learning — Dive into Deep Learning documentation

8The Unreasonable Effectiveness of Recurrent Neural Networks

1Marek Rei - Thoughts on Machine Learning and Natural Language Processing

publications (hide)67
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1DeepMask Transforming Face Mask Identification for Better Pandemic Control in the COVID 19 Era

3Inductive and transductive link prediction for criminal network analysis

3Inductive and transductive link prediction for criminal network analysis

1Detection of Diabetic Retinopathy in Retinal Image Early Identification using Deep CNN

1Deep Learning Architectures Framework for Emerging Outbreak Forecasting of Mpox: A Bagged Ensemble Scheme to Model Accurate Prediction Intervals

1Predicting Customer Call Intent for the Auto Dealership Industry from Analyzing Phone Call Transcripts With CNN for Multiclass Classification

1Bayesian Structure Learning with Generative Flow Networks

2Climate Downscaling Using YNet: A Deep Convolutional Network with Skip Connections and Fusion

3Explainable Deep Few-shot Anomaly Detection with Deviation Networks

7Model-agnostic meta-learning for fast adaptation of deep networks

1Meta-Learning in Neural Networks: A Survey

4Training generative adversarial networks with limited data

1Detection of Number Plate using Yolo

3Overfitting Mechanism and Avoidance in Deep Neural Networks

3Deep multimodality model for multi-task multi-view learning

7An overview of multi-task learning in deep neural networks

1Prediction of Cervical Cancer using Machine Learning and Deep Learning Algorithms

2Relational inductive biases, deep learning, and graph networks

3Deep learning for time series classification: a review

2Utilizing Molecular Network Information via Graph Convolutional Neural Networks to Predict Metastatic Event in Breast Cancer.

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