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by math_rachel on 2019-11-03 (UTC).

My talk on "Getting Specific about Algorithmic Bias"https://t.co/K5MOawggb4 pic.twitter.com/efNQtoVClJ

— Rachel Thomas (@math_rachel) November 3, 2019
videolearningbiasethics
by math_rachel on 2019-11-03 (UTC).

The Compas Recidivism Algorithm:
- it's no more accurate than random people (Amazon Mechanical Turk)
- it's a black box with 137 inputs but no more accurate than linear classifier on 2 vars
- Wisconsin Supreme Court upheld its use (it is still used in other states as well) pic.twitter.com/cMdGOkQPP5

— Rachel Thomas (@math_rachel) November 3, 2019
ethicsbiasmisc
by ada_rob on 2019-12-09 (UTC).

As promised, we have made the Text-To-Text Transfer Transformer (T5) models much easier to fine-tune for new tasks, and we just released a Colab notebook where you can try it yourself on a free TPU!
👇 https://t.co/l6eI88Ih3f

(1/3) pic.twitter.com/LU5scmhbIs

— Adam Roberts (@ada_rob) December 9, 2019
tensorflownlpw_code
by ada_rob on 2020-04-29 (UTC).

UPDATE: We have spent the past month “fine-tuning” our approach for Closed Book QA (CBQA, no access to external knowledge) w/ T5 and now our appendix is overflowing with interesting results and new SoTAs on open domain WebQuestions and TriviaQA! https://t.co/16Mu1MR6kW

(1/7) https://t.co/gvzixqpela

— Adam Roberts (@ada_rob) April 29, 2020
nlpresearch

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