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ML Sessions 2019
Unsupervised / Semi-Supervised Learning
Upcoming session: 24th October, 14:00 - 15:30, Teknikringen 14, room 523 (5th floor).
Generalization in Machine Learning
If you wish to present a paper, please enter your name and the title of the paper here.
Read papers
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 |
2019-09-11 | Three Factors Influencing Minima in SGD |
2019-09-26 | Exploring Generalization in Deep Learning |
2019-10-10 |
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MCMC #3 - 7. Mar. 2019
Markov Chain Monte Carlo and Variational Inference: Bridging the Gap
http://proceedings.mlr.press/v37/salimans15.pdf
MCMC #2 - 21. Feb. 2019
An Introduction to MCMC for Machine Learning (second part plus coding)
fhttps://www.cs.ubc.ca/~arnaud/andrieu_defreitas_doucet_jordan_intromontecarlomachinelearning.pdf
MCMC #1 - 7. Feb. 2019
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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Interpretable ML #6 - Application Session 24. Jan. 2019
Interpretable ML #5 - 7. Jan. 2019
A causal framework for explaining the predictions of black-box sequence-to-sequence models
https://people.csail.mit.edu/tommi/papers/AlvJaa_EMNLP2017.pdf