2018-03-19 Biblio : articles ajoutés récemment

Dans Suggestions d’articles :

• Affinity Clustering: Hierarchical Clustering at Scale

• Spinner: Scalable Graph Partitioning in the Cloud

• Fennel: Streaming Graph Partitioning for Massive Scale Graphs

• Balanced Label Propagation for Partitioning Massive Graphs

• DSCOVR: Randomized Primal-Dual Block Coordinate Algorithms for Asynchronous Distributed Optimization

Dans Twitter :

• What is Twitter, a Social Network or a News Media?

Dans :ref: l-algoculture-shortlist :

• Expander Flows, Geometric Embeddings and Graph Partitioning

• Borůvka’s algorithm

• Distributed hash table

Dans Imbalanced classification :

• Data Subsampling (Edward)

• 5601 Notes: The Subsampling Bootstrap

• Bootstrapping and Subsampling: Part I

• Subsampling versus bootstrapping in resampling-based model selection for multivariable regression

• Subsampling vs Bootstrap

Dans Overfitting :

• Generalization in Adaptive Data Analysis and Holdout Reuse

• Numeraire: A Cryptographic Token for Coordinating Machine Intelligence and Preventing Overfitting

Dans Anonymisation des données / Privacy:

• La protection des données personnelles en assurance dialogue du juriste avec l’actuaire

• The Secret Sharer: Measuring Unintended Neural Network Memorization & Extracting Secrets

Dans Machine Learning éthique (fairness) :

• How AI Designers will Dictate Our Civic Future de Latanya Sweeney

Dans l-prob-solved-speech :

• Achieving Human Parity in Conversational Speech Recognition (2016)

• Achieving Human Parity on Automatic Chinese to English News Translation (2018)

Dans l-prob-solved-segmentation :

• Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

• Xception: Deep Learning with Depthwise Separable Convolutions

• DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

• Rethinking Atrous Convolution for Semantic Image Segmentation

Dans l-prob-solved-archi :

• Deformable Convolutional Networks

Dans Algorithmes Distribués :

• Communication Complexity of Distributed Convex Learning and Optimization

• Fast Distributed Gradient Methods

• A Generalized Accelerated Composite Gradient Method: Uniting Nesterov’s Fast Gradient Method and FISTA