Repository files navigation

machine-learning-papers

Collection of Machine Learning Papers that I've found out there, some fundamental to the discipline and some others to explore new concepts

Collaboration

I'm using the Udacity Git Commit Message Style Guide, as described here https://udacity.github.io/git-styleguide/. Since every post is supposed to be a document, I'm using the doc: tag at the beggining of every commit, but somebodyelse could consider it as a feature (feat:) so it's up to you use the tag you consider is best.

Provide feedback

Saved searches

Use saved searches to filter your results more quickly

Repository files navigation

machine-learning-papers

Collaboration

About

Releases

Packages

Name		Name	Last commit message	Last commit date
Latest commit History 34 Commits
AlexNet NIPS-2012-imagenet-classification-with-deep-convolutional-neural-networks-Paper.pdf		AlexNet NIPS-2012-imagenet-classification-with-deep-convolutional-neural-networks-Paper.pdf
An Unsupervised Neural Attention Model for Aspect Extraction.pdf		An Unsupervised Neural Attention Model for Aspect Extraction.pdf
Attacking Machine Learning with Adversarial Examples.pdf		Attacking Machine Learning with Adversarial Examples.pdf
Batch Normalization - Accelerating Deep Network Training by Reducing Internal Covariate Shift.pdf		Batch Normalization - Accelerating Deep Network Training by Reducing Internal Covariate Shift.pdf
Bayesian Deep Learning and Probabilistic Perspective of Generalization.pdf		Bayesian Deep Learning and Probabilistic Perspective of Generalization.pdf
COVID-19 DETERIORATION PREDICTION VIA SELF SUPERVISED REPRESENTATION LEARNING AND MULTI-IMAGE PREDICTION.pdf		COVID-19 DETERIORATION PREDICTION VIA SELF SUPERVISED REPRESENTATION LEARNING AND MULTI-IMAGE PREDICTION.pdf
Deep Residual Learning for Image Recognition (RESNet).pdf		Deep Residual Learning for Image Recognition (RESNet).pdf
DeepFaceLab - A simple, flexible and extensible face swapping framework.pdf		DeepFaceLab - A simple, flexible and extensible face swapping framework.pdf
Delving Deep into Rectifiers - Surpassing Human-Level Performance on ImageNet Classification.pdf		Delving Deep into Rectifiers - Surpassing Human-Level Performance on ImageNet Classification.pdf
Dynamic Routing Between Capsules.pdf		Dynamic Routing Between Capsules.pdf
Efficient Estimation of Word Representations in Vector Space (Word2Vec).pdf		Efficient Estimation of Word Representations in Vector Space (Word2Vec).pdf
Elman Network Paper (TDN).pdf		Elman Network Paper (TDN).pdf
Exploring LSTMs by Edwin Chen.pdf		Exploring LSTMs by Edwin Chen.pdf
Fine-Grained Car Detection for Visual Census Estimation.pdf		Fine-Grained Car Detection for Visual Census Estimation.pdf
Gatys_Image_Style_Transfer_CVPR_2016_paper.pdf		Gatys_Image_Style_Transfer_CVPR_2016_paper.pdf
How Transferable are features in deep neural networks.pdf		How Transferable are features in deep neural networks.pdf
Image-to-Image Translation with Conditional Adversarial Networks.pdf		Image-to-Image Translation with Conditional Adversarial Networks.pdf
Improving neural networks by preventing co-adaptation of feature detectors.pdf		Improving neural networks by preventing co-adaptation of feature detectors.pdf
Learning Word Vectors for Sentiment Analysis.pdf		Learning Word Vectors for Sentiment Analysis.pdf
Least Squares Generative Adversarial Networks.pdf		Least Squares Generative Adversarial Networks.pdf
Long Short Term Memory Network Original Paper.pdf		Long Short Term Memory Network Original Paper.pdf
NIPS-2013-distributed-representations-of-words-and-phrases-and-their-compositionality-Paper (Word2Vec improvements).pdf		NIPS-2013-distributed-representations-of-words-and-phrases-and-their-compositionality-Paper (Word2Vec improvements).pdf
Neural networks and deep learning - Chapter 5 - Why are deep neural networks hard to train.pdf		Neural networks and deep learning - Chapter 5 - Why are deep neural networks hard to train.pdf
On the difficulty of training RNN.pdf		On the difficulty of training RNN.pdf
README.md		README.md
Session Based Recomendations with Recurrent Neural Networks (Netflix).pdf		Session Based Recomendations with Recurrent Neural Networks (Netflix).pdf
Systematic evaluation of CNN advances on the ImageNet.pdf		Systematic evaluation of CNN advances on the ImageNet.pdf
Understanding LSTM Networks -- colah's blog.pdf		Understanding LSTM Networks -- colah's blog.pdf
Understanding the difficulty of training deep feedforward neural networks.pdf		Understanding the difficulty of training deep feedforward neural networks.pdf
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks.pdf		Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks.pdf
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks.pdf		Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks.pdf
Very Deep Convolutional Networks for Large Scale Image Recognition (VGG).pdf		Very Deep Convolutional Networks for Large Scale Image Recognition (VGG).pdf
XGBoost-A Scalable Tree Boosting System.pdf		XGBoost-A Scalable Tree Boosting System.pdf

sclark2006/machine-learning-papers

Folders and files

Latest commit

History

Repository files navigation

machine-learning-papers

Collaboration

About

Resources

Stars

Watchers

Forks

Releases

Packages 0

Packages