Retrospectives lightning talks
2019 Lightning talks
in
Workshop: Retrospectives: A Venue for Self-Reflection in ML Research
in
Workshop: Retrospectives: A Venue for Self-Reflection in ML Research
Abstract
Lightning talks: An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution (Rosanne Liu) Learning the structure of deep sparse graphical models (Zoubin Ghahramani) Lessons Learned from The Lottery Ticket Hypothesis (Jonathan Frankle) FiLM: Visual Reasoning with a General Conditioning Layer (Ethan Perez) DLPaper2Code: Auto-Generation of Code from Deep Learning Research Papers (Anush Sankaran) Conditional computation in neural networks for faster models (Emmanuel Bengio)
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