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Version skapad av Marcus Klasson 2019-09-02 14:27

ML Sessions 2019

Upcoming session: Three Factors Influencing Minima in SGD

This session will be either September 11, 12 or 13. Vote for date in this doodle: https://doodle.com/poll/rc3x745uy5krv7wm

2019-05-02	Generalization in Deep Learning
2019-05-16	Understanding deep learning requires rethinking generalization
2019-06-13	Emergence of Invariance and Disentanglement in Deep Representations

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Markov Chain Monte Carlo and Variational Inference: Bridging the Gap

An Introduction to MCMC for Machine Learning (second part plus coding)

fhttps://www.cs.ubc.ca/~arnaud/andrieu_defreitas_doucet_jordan_intromontecarlomachinelearning.pdf

An Introduction to MCMC for Machine Learning (part 1)

fhttps://www.cs.ubc.ca/~arnaud/andrieu_defreitas_doucet_jordan_intromontecarlomachinelearning.pdf

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e-SNLI: Natural Language Inference with Natural Language Explanations	Judith	Petra
How do Humans Understand Explanations from Machine Learning Systems? An Evaluation of the Human-Interpretability of Explanation	Sanne	Sarah
Methods for Interpreting and Understanding Deep Neural Networks	Federico	Matteo
Network Disection: Quantifying Interpretability of Deep Visual Representations	Louise
Gradcam++	Sofia	Marcus

A causal framework for explaining the predictions of black-box sequence-to-sequence models