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Day 0: Basic Tutorials on Probability Theory and Linear Algebra (extra)

Day 0: Basic Tutorials on Probability Theory and Linear Algebra (extra) LxMLS Lisbon Machine Learning School

1.5K views - 5 years ago

Practical Talk 1: Explainability for NLP (Isabelle Augenstein)

Practical Talk 1: Explainability for NLP (Isabelle Augenstein) LxMLS Lisbon Machine Learning School

3.7K views - 5 years ago

Lecture 2: Introduction to Neural Networks (Bhiksha Raj)

Lecture 2: Introduction to Neural Networks (Bhiksha Raj) LxMLS Lisbon Machine Learning School

666 views - 2 years ago

Lecture 2: Introduction to Neural Networks (Bhiksha Raj)

Lecture 2: Introduction to Neural Networks (Bhiksha Raj) LxMLS Lisbon Machine Learning School

1.1K views - 5 years ago

Practical Talk 5: Question Answering and Generation for Evaluating Summarization (Kyunghyun Cho)

Practical Talk 5: Question Answering and Generation for Evaluating Summarization (Kyunghyun Cho) LxMLS Lisbon Machine Learning School

527 views - 5 years ago

Practical Talk 2: Graph Neural Networks in NLP (Ivan Titov)

Practical Talk 2: Graph Neural Networks in NLP (Ivan Titov) LxMLS Lisbon Machine Learning School

3.6K views - 5 years ago

Lecture 6: Causality (Adèle Ribeiro)

Lecture 6: Causality (Adèle Ribeiro) LxMLS Lisbon Machine Learning School

1.2K views - 1 year ago

ADSAI 2022 | André Martins: Towards Explainable and Uncertainty Aware NLP

ADSAI 2022 | André Martins: Towards Explainable and Uncertainty Aware NLP Digital Futures

235 views - 2 years ago