Seminario RICC: Aprendiendo representaciones útiles mediante modelos generativos con pocos labels
Seminario de computación científica “Representation Learning: Aprendiendo representaciones útiles mediante modelos generativos con pocos labels”, impartido por Jose Carranza.
Self-training with Weak Supervision [Code]
State-of-the-art deep neural networks require large-scale labeled training data that is often either expensive to obtain or not available for many tasks. Weak supervision in the form of domain-specific rules has been shown to be…
Platform for Situated Intelligence Workshop
Platform for Situated Intelligence is an open-source framework from Microsoft Research that significantly accelerates development and research on multimodal, integrative-AI applications. The two-day Platform for Situated Intelligence Workshop took place on April 27-28, 2021 and…
Text Editing by Command
Knowledge and Language Team
The Knowledge and Language Team focuses on cutting edge research and development of the next generation framework for knowledge and natural language processing.
Rajasthani Hindi Speech Data
This dataset consists of audio recordings of participants reading out stories in Rajasthani Hindi, one sentence at a time. We had 98 participants from Soda, Rajasthan. Each participant read 30 stories. In total, we have…