NeurIPSCD2019, MicroNet Challenge hosted by Google, Deepmind Researcher, "Efficient Model for Image Classification With Regularization Tricks".
Home Page: http://proceedings.mlr.press/v123/kim20a.html
License: MIT License
Now, I’m a Ph D Student in Optimization and Statistical Inference Lab OSI (Advisor: Se-Young Yun, KAIST).
I worked as a PhD student researcher @ Google Research, Qualcomm AI, and DynamoFL (YCW22 selected startup).
📫 Working: KAIST AI (Seoul, Korea).
🔭 My Blog: https://taehyeon.oopy.io/
🤔 LinkedIn: https://www.linkedin.com/in/taehyeon-kim-6a1239207/
💬 Contact: [email protected], [email protected] (permanant)
I am a research scientist! Feel free to contact me!
Hi! Thanks for the updates!
Our only outstanding question is about the counting of the mask overhead for sparse weight matrices (1-bit per parameter, including zero valued parameters). Unless I'm missing something, it doesn't look like this is taken into account in your counting script.
Thanks!
Trevor
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