InTDS ArchivebyJoyce Xu·Jun 18, 2019Algorithmic Solutions to Algorithmic Bias: A Technical GuideAdversarial de-biasing, variational “fair” autoencoders, dynamic data resampling, and more.A response icon6A response icon6
InTDS ArchivebyJoyce Xu·Oct 1, 2018Beyond DQN/A3C: A Survey in Advanced Reinforcement LearningHierarchical RL, external memory stores, imagination-augmented agents, and more.A response icon12A response icon12
InNanoNetsbyJoyce Xu·May 25, 2018Topic Modeling with LSA, PSLA, LDA & lda2VecFrom matrix factorization to deep learningA response icon39A response icon39
InTDS ArchivebyJoyce Xu·Sep 11, 2017Deep Learning for Object Detection: A Comprehensive ReviewFaster R-CNN, R-FCN, SSD, and more acronyms you can’t keep straightA response icon30A response icon30
InTDS ArchivebyJoyce Xu·Aug 14, 2017An Intuitive Guide to Deep Network ArchitecturesResNet, Inception, and Xception explainedA response icon12A response icon12
InTDS ArchivebyJoyce Xu·Jun 29, 2017Functional programming for deep learningThe what, why, and how: a Cortex deep learning model for anomaly detection in ClojureA response icon6A response icon6
InStartup GrindbyJoyce Xu·Jul 3, 2016Machines and Magic: Teaching Computers to Write Harry PotterDon’t worry, J.K. Rowling is still very much irreplaceableA response icon5A response icon5
