Tushar Chandra
Data Scientist / Chicago, IL

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Tag: iclr

2020

2020-08-12 [Paper] Understanding deep learning requires rethinking generalization iclr, reading club
( Chiyuan Zhang, Samy Bengio, Moritz Hardt, Benjamin Recht, Oriol Vinyals)
2020-07-29 [Paper] Generative Models for Effective ML on Private, Decentralized Datasets iclr, reading club
( Sean Augenstein, Brendan McMahan, Daniel Ramage, Swaroop Ramaswamy, Peter Kairouz, Mingqing Chen, Rajiv Mathews, Blaise Aguera-Arcas)

Categories

  • + books 25
  • + general 44
  • + papers 90
  • + projects 7
  • + self 5
  • + spark 34
  • + what-i-read 53

Recent Posts

  • [Paper] On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? 🦜 2021-02-11

  • Recurring Reading 2021-02-05

  • [Paper] Explaining Explainability: Towards Social Transparency in AI Systems 2021-01-28

  • [Paper] From Optimizing Engagement to Measuring Value 2021-01-21

  • More thoughts on 'Street-Level Algorithms' 2021-01-15

Tags

  • + #republic 5
  • + chi2019 3
  • + chi2020 20
  • + chi2021 1
  • + cscw2020 8
  • + facct2021 1
  • + fat2020 2
  • + iclr 2
  • + icwsm2020 5
  • + indistractable 2
  • + neurips 2
  • + password-tool 6
  • + reading-club 24
  • + recsys 1
  • + site 6
  • + www 3
© 2019 - 2020 Tushar Chandra

All opinions are my own.

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© 2019 - 2020 Tushar Chandra

All opinions are my own.

Powered by Hugo with a custom theme.