Deep Learning - Paper Notes

As part of my 2019 resolution, I will be publishing summaries and notes on Deep Learning research papers I read.

2019/01/24

• Focal Loss for Dense Object Detection [URL]
  • Implementation - https://www.dlology.com/blog/multi-class-classification-with-focal-loss-for-imbalanced-datasets/
  • https://github.com/Tony607/Focal_Loss_Keras/blob/master/src/keras_focal_loss.ipynb
  • https://www.analyticsvidhya.com/blog/2018/05/essentials-of-deep-learning-trudging-into-unsupervised-deep-learning/
  • FocalLoss, DL, ImbalancedDataset
• Unsupervised Deep Embedding for Clustering Analysis [URL]
  • Unsupervised, DL, Clustering

2019/01/22

• VBPR: Visual Bayesian Personalized Ranking from Implicit Feedback [URL]
  • CollaborativeFiltering, Recommendation, MatrixFactorization

2019/01/20

• Metadata Embeddings for User and Item Cold-start Recommendations[URL]
  • CollaborativeFiltering, Recommendation, MatrixFactorization, [LightFM]

2019/01/15

• An Evaluation of Predictive Models for Individual-Level Employee Voluntary Turnover [URL]
• Evaluation of Employee Attrition by Effective Feature Selection using Hybrid Model of Ensemble Methods[URL]
  • FeatureSelection, Ensemble, Boruta

2019/01/03

• Forecasting Economics and Financial Time Series: ARIMA vs. LSTM [arXiv]
  • TimeSeries, LSTM, ARIMA, Comparison