#nlp meetup
- Graph Neural Networks for Knowledge Base Question Answering 23 Jan 2019
- Language Modeling for Contextual Representation Learning 09 Nov 2018
- Three Recent Directions in Neural Machine Translation 20 Aug 2018
- Knowledge-Rich Deep Learning for Precision Medicine 03 Aug 2018
#medical ml
#nlp
- NAACL 2019 07 Jun 2019
- Question Answering Track 05 Jun 2019
- Kieran Snyder: Leaving the Lab 05 Jun 2019
- Rada Mihalcea: When the Computers Spot the Lie (and People Don't) 04 Jun 2019
- Semantics Track 04 Jun 2019
- Industry Track 04 Jun 2019
- Cognitive Track 03 Jun 2019
- Arvind Narayanan: Data as a Mirror of Society 03 Jun 2019
- Transfer Learning in NLP 02 Jun 2019
- Deep Adversarial Learning for NLP 02 Jun 2019
- Thursday Morning Contributed Talks 09 May 2019
- Mirella Lapata: Learning Natural Language Interfaces with Neural Models 09 May 2019
- Graph Neural Networks for Knowledge Base Question Answering 23 Jan 2019
- Language Modeling for Contextual Representation Learning 09 Nov 2018
- Three Recent Directions in Neural Machine Translation 20 Aug 2018
- Knowledge-Rich Deep Learning for Precision Medicine 03 Aug 2018
#notes
- Sindy Löwe: Putting an End to End-to-End 26 Aug 2020
- NAACL 2019 07 Jun 2019
- Question Answering Track 05 Jun 2019
- Kieran Snyder: Leaving the Lab 05 Jun 2019
- Rada Mihalcea: When the Computers Spot the Lie (and People Don't) 04 Jun 2019
- Semantics Track 04 Jun 2019
- Industry Track 04 Jun 2019
- Cognitive Track 03 Jun 2019
- Arvind Narayanan: Data as a Mirror of Society 03 Jun 2019
- Transfer Learning in NLP 02 Jun 2019
- Deep Adversarial Learning for NLP 02 Jun 2019
- ICLR 2019 10 May 2019
- Thursday Afternoon Contributed Talks 09 May 2019
- Noah Goodman: How we come to know 09 May 2019
- Thursday Morning Contributed Talks 09 May 2019
- Mirella Lapata: Learning Natural Language Interfaces with Neural Models 09 May 2019
- Zeynep Tufekci: While we're all worried about failures of machine learning, what dangers lurk if it (mostly) works? 08 May 2019
- Wednesday Morning Contributed Talks 08 May 2019
- Pierre-Yves Oudeyer: Developmental Autonomous Learning 08 May 2019
- Tuesday Afternoon Contributed Talks 07 May 2019
- Ian Goodfellow: Adversarial Machine Learning 07 May 2019
- Tuesday Morning Contributed Talks 07 May 2019
- Emily Shuckburgh: Can machine learning help to conduct a planetary healthcheck? 07 May 2019
- Safe ML: Specification, Robustness and Assurance 06 May 2019
- Léon Bottou: Learning Representations Using Causal Invariance 06 May 2019
- Cynthia Dwork: Recent Developments in Algorithmic Fairness 06 May 2019
- Graph Neural Networks for Knowledge Base Question Answering 23 Jan 2019
- Language Modeling for Contextual Representation Learning 09 Nov 2018
- Recurrent Models for Machine Perception and Advances in Optimisation 31 Aug 2018
- Approximately One-Tenth of KDD 2018 23 Aug 2018
- Three Recent Directions in Neural Machine Translation 20 Aug 2018
- Knowledge-Rich Deep Learning for Precision Medicine 03 Aug 2018
#machine translation
#kdd2018
- Approximately One-Tenth of KDD 2018 23 Aug 2018
#ml
- Sindy Löwe: Putting an End to End-to-End 26 Aug 2020
- ICLR 2019 10 May 2019
- Thursday Afternoon Contributed Talks 09 May 2019
- Noah Goodman: How we come to know 09 May 2019
- Thursday Morning Contributed Talks 09 May 2019
- Mirella Lapata: Learning Natural Language Interfaces with Neural Models 09 May 2019
- Zeynep Tufekci: While we're all worried about failures of machine learning, what dangers lurk if it (mostly) works? 08 May 2019
- Wednesday Morning Contributed Talks 08 May 2019
- Pierre-Yves Oudeyer: Developmental Autonomous Learning 08 May 2019
- Tuesday Afternoon Contributed Talks 07 May 2019
- Ian Goodfellow: Adversarial Machine Learning 07 May 2019
- Tuesday Morning Contributed Talks 07 May 2019
- Emily Shuckburgh: Can machine learning help to conduct a planetary healthcheck? 07 May 2019
- Safe ML: Specification, Robustness and Assurance 06 May 2019
- Léon Bottou: Learning Representations Using Causal Invariance 06 May 2019
- Cynthia Dwork: Recent Developments in Algorithmic Fairness 06 May 2019
- Recurrent Models for Machine Perception and Advances in Optimisation 31 Aug 2018
- Approximately One-Tenth of KDD 2018 23 Aug 2018
#ml meetup
- Sindy Löwe: Putting an End to End-to-End 26 Aug 2020
- Recurrent Models for Machine Perception and Advances in Optimisation 31 Aug 2018
#language models
#question answering
#iclr2019
- ICLR 2019 10 May 2019
- Thursday Afternoon Contributed Talks 09 May 2019
- Noah Goodman: How we come to know 09 May 2019
- Thursday Morning Contributed Talks 09 May 2019
- Mirella Lapata: Learning Natural Language Interfaces with Neural Models 09 May 2019
- Zeynep Tufekci: While we're all worried about failures of machine learning, what dangers lurk if it (mostly) works? 08 May 2019
- Wednesday Morning Contributed Talks 08 May 2019
- Pierre-Yves Oudeyer: Developmental Autonomous Learning 08 May 2019
- Tuesday Afternoon Contributed Talks 07 May 2019
- Ian Goodfellow: Adversarial Machine Learning 07 May 2019
- Tuesday Morning Contributed Talks 07 May 2019
- Emily Shuckburgh: Can machine learning help to conduct a planetary healthcheck? 07 May 2019
- Safe ML: Specification, Robustness and Assurance 06 May 2019
- Léon Bottou: Learning Representations Using Causal Invariance 06 May 2019
- Cynthia Dwork: Recent Developments in Algorithmic Fairness 06 May 2019
#ethics
- Kieran Snyder: Leaving the Lab 05 Jun 2019
- Rada Mihalcea: When the Computers Spot the Lie (and People Don't) 04 Jun 2019
- Arvind Narayanan: Data as a Mirror of Society 03 Jun 2019
- Zeynep Tufekci: While we're all worried about failures of machine learning, what dangers lurk if it (mostly) works? 08 May 2019
- Cynthia Dwork: Recent Developments in Algorithmic Fairness 06 May 2019
#bias
- Arvind Narayanan: Data as a Mirror of Society 03 Jun 2019
- Cynthia Dwork: Recent Developments in Algorithmic Fairness 06 May 2019
#security
- Safe ML: Specification, Robustness and Assurance 06 May 2019
#adversarial learning
- Deep Adversarial Learning for NLP 02 Jun 2019
- Ian Goodfellow: Adversarial Machine Learning 07 May 2019
#naacl2019
- NAACL 2019 07 Jun 2019
- Question Answering Track 05 Jun 2019
- Kieran Snyder: Leaving the Lab 05 Jun 2019
- Rada Mihalcea: When the Computers Spot the Lie (and People Don't) 04 Jun 2019
- Semantics Track 04 Jun 2019
- Industry Track 04 Jun 2019
- Cognitive Track 03 Jun 2019
- Arvind Narayanan: Data as a Mirror of Society 03 Jun 2019
- Transfer Learning in NLP 02 Jun 2019
- Deep Adversarial Learning for NLP 02 Jun 2019
#transfer learning
- Transfer Learning in NLP 02 Jun 2019
#deep learning
- Sindy Löwe: Putting an End to End-to-End 26 Aug 2020