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lena-voita committed Jul 23, 2020
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Expand Up @@ -21,7 +21,7 @@ I (still) [teach NLP](https://github.com/yandexdataschool/nlp_course) at the [Ya

## <span style="color:darkblue">News </span>

* 06-08/2020 Invited talks at: MIT, DeepMind, Grammarly AI, Unbabel.
* 06-08/2020 Invited talks at: MIT, DeepMind, [Grammarly AI](https://grammarly.ai/information-theoretic-probing-with-minimum-description-length/), Unbabel.
* 04/2020 Our [BPE-dropout](https://arxiv.org/pdf/1910.13267.pdf) is _accepted to __ACL__ 2020_.
* 01/2020 I'm [awarded Facebook PhD Fellowhip](https://research.fb.com/blog/2020/01/announcing-the-recipients-of-the-2020-facebook-fellowship-awards/).
* 01/2020 Invited talks at: [Rasa](https://www.meetup.com/ru-RU/Bots-Berlin-Build-better-conversational-interfaces-with-AI/events/267058207/), Google Research Berlin, [Naver Labs Europe](https://europe.naverlabs.com/research/seminars/analyzing-information-flow-in-transformers/), NLP track at [Applied Machine Learning Days at EPFL](https://appliedmldays.org/tracks/ai-nlp).
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* 08/2018 <span class="talk-title">_Does NMT learn to solve NLP?_</span>
<br/>&nbsp; &nbsp; &nbsp; [Yandex Research Summit](https://yandex.com/promo/academy/yars_2019), <span style="font-size:0.9em">Moscow, Russia (with David Talbot)</span>

### <span style="color:darkblue"> Guest talks </span>
* 06/2020 <span class="talk-title">_Information-Theoretic Probing with Minimum Description Length_</span> <a href="https://drive.google.com/file/d/1iP7P0nld_O8op2SLEEX-q7WSFA1rKlfk/view?usp=sharing" class="label slides">Slides</a>
### <span style="color:darkblue"> Invited talks </span>
* 06-07/2020 <span class="talk-title">_Information-Theoretic Probing with Minimum Description Length_</span> <a href="https://drive.google.com/file/d/1iP7P0nld_O8op2SLEEX-q7WSFA1rKlfk/view?usp=sharing" class="label slides">Slides</a>
<br/>&nbsp; &nbsp; &nbsp; MIT (Massachusetts Institute of Technology) (remotely)
<br/>&nbsp; &nbsp; &nbsp; DeepMind, London (remotely)
<br/>&nbsp; &nbsp; &nbsp; DeepMind (remotely)
<br/>&nbsp; &nbsp; &nbsp; [Grammarly AI](https://grammarly.ai/information-theoretic-probing-with-minimum-description-length/) (remotely)
* 01/2020 <span class="talk-title">_Analyzing Information Flow in Transformers_</span> <a href="https://drive.google.com/file/d/1bEiWUZDNbKAgMkt5PPF9sQl3x9AYNVoZ/view?usp=sharing" class="label slides">Slides</a>
<br/>&nbsp; &nbsp; &nbsp; [Naver Labs Europe](https://europe.naverlabs.com/research/seminars/analyzing-information-flow-in-transformers/), Grenoble, France
<br/>&nbsp; &nbsp; &nbsp; Google Research, Berlin, Germany
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