machine_learning

External validity Transfer learning, dataset shift, learning under covariate shift, transferable learning, domain adaptation etc 2020-10-17 – 2021-08-16
Hydrology models Rivers, aquifers and other wet things that can flood your house 2020-09-07 – 2021-07-29
ML on small devices Putting intelligence on chips small enough to be in disconcerting places 2016-10-14 – 2021-07-13
ML Koans Passing through the NAND-gate 2021-06-23
Technological singularities Incorporating hard AI take-offs, game-over high scores, the technium, god-in-the-cloud, deus-ex-machina, nerd raptures and so forth 2016-12-01 – 2021-06-01
Causal inference on DAGs Confounding! This scientist performed miracle graph surgery during an intervention and you won’t believe what happened next 2016-10-26 – 2021-05-19
Learning on manifolds Finding the lowest bit of a krazy straw, from the inside 2011-10-21 – 2021-03-03
Auditory features descriptors, maps, representations for audio 2019-11-13 – 2021-01-14
Audiovisuals Synesthetic and other cross-media audio stunts 2020-10-26
Dimensionality reduction Wherein I teach myself, amongst other things, feature selection, how a sparse PCA works, and decide where to file multidimensional scaling 2015-03-22 – 2020-09-11
Neural nets designing the fanciest usable differentiable loss surface 2016-10-14 – 2020-09-09
Learning of manifolds Also topological data analysis; other hip names to follow 2014-08-19 – 2020-06-23
Controllerism Making thing happen by waving your arms about on stage 2014-11-17 – 2019-12-10
Tunings 2015-10-29 – 2019-11-18
ISMIR 2019 Music Nerds in Delft 2019-11-04 – 2019-11-09
Hierarchical models DAGs, multilevel models, random coefficient models, mixed effect models… 2015-06-07 – 2019-08-19
Brains Neural networks made of real neurons, in functioning brains 2014-11-03 – 2017-08-15