Ruslan Salakhutdinov
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what they talk about
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on a stage with
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| title | conference | date |
|---|---|---|
| Tutorial on Deep Learning I | Foundations of Machine Learning Boot Camp 2017 | 2017-01-23 |
Claims that modern deep nets win only with very large datasets and practical tricks: hierarchical representations work well for vision, language and even… | ||
| Tutorial on Deep Learning II | Foundations of Machine Learning Boot Camp 2017 | 2017-01-23 |
Claims concrete wins: AlexNet halved error on ImageNet (1.2M images), 8 layers, ~50M parameters, ~18% top‑5 and removing one FC layer drops only ~1% while… | ||
| Tutorial on Deep Learning III | Foundations of Machine Learning Boot Camp 2017 | 2017-01-23 |
Compares undirected deep Boltzmann machines and directed variational autoencoders, explains why mean-field approximation gives fast, unimodal posterior… | ||
| Tutorial on Deep Learning IV | Foundations of Machine Learning Boot Camp 2017 | 2017-01-23 |
Covers how GANs as a min/max game learn a generator and differentiable discriminator that sample (no explicit density), showing deconvolution GAN images on… | ||
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