Re: [AIRG] Resource Constrained Neural Network Architecture Search

[Aubrey Barnard <barnard@xxxxxxxxxxx>]

AIRG,

This afternoon, Yunyang Xiong will tell us about recent work on 
searching for neural network structures under a budget. There is no 
paper to read, so just show up, sit back, relax, and absorb some deep 
learning.

4pm, CS 3310

I hope to see you there!

Aubrey


On 12/4/18 4:53 PM, Yunyang Xiong via AIRG wrote:
> 
> Hello,
> 
> 
> I will be presenting our new work, resource constrained neural network 
> architecture search, on this Wednesday.
> 
> 
> Title: resource constrained neural network architecture search (will be 
> appear on arXiv soon)
> 
> Authors: Yunyang Xiong, Ronak Mehta and Vikas Singh
> 
> Presenter: Yunyang Xiong
> 
> Time: 4 pm, Wednesday, 12/5, 2018
> 
> Location: CS 3310
> 
> The design of neural network architectures is frequently either based on 
> human expertise using trial/error and empirical
> feedback or tackled via large scale reinforcement learning 
> strategies. Most methods in use require exorbitant computational resources.
> The above challenges are exacerbated because the search procedure must 
> now balance accuracy with certain budget constraints on resources.
> Our goal in this work is to formulate resource constrained architecture 
> search as a set function optimization, and design a heuristic based on 
> ideas known
> to be effective for constrained submodular optimization.
> 
> 
> Best regards,
> 
> Yunyang
> 
> 
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