Priberam Machine Learning Lunch Seminar – Carlos Soares
“ML-Inception: understanding where and why models work (and don’t work)”. - 13h...
“ML-Inception: understanding where and why models work (and don’t work)”. - 13h...
“Machine Learning for Motion Planning of Autonomous Vehicles — Interaction-Aware Motion Planning in Crowded Dynamic Environments”. - 13h...
“On the Calibration of Generative Question-Answering models: State-of-the-art and Challenges”. - 13h...
“Explainable Artificial Intelligence and its role in supporting medical diagnosis”. - 13h...
“The perspective of the language in multimodal conversational AI for high-end fashion marketplaces”. - 13h...
“Equivariant neural networks for recovery of Hadamard matrices”. - 13h...
“Simplifying Multilingual News Clustering Through Projection From a Shared Space”. - 13h (mediante inscrição)....
“From Captions to Natural Language Explanations”. - 13h...
“Revealing semantic and emotional structure of suicide notes”. - 13h...
“NLP at Cleverly and Multilingual Email Zoning” - 13h...
“Fact-checking as a conversation” - 13h...
“Visual Attention with Sparse and Continuous Transformations” - 13h...
“Explainability for Sequential Decision-Making” - 13h (inscrição requerida)...
“A brief history of Spoken Language Understanding” - 13h...
“TrimTuner: Efficient Optimization of Machine Learning Jobs in the Cloud via Sub-Sampling” - 13h...
“Preference Modeling with Context-Dependent Salient Features”, 13h, via Zoom...
Webinar: “The Explanation Game: Towards Prediction Explainability through Sparse Communication” - 13h...
No dia 9 de junho de 2020, às 13h, realizar-se-á mais uma sessão do Ciclo dos “Priberam Machine Learning Lunch Seminars”...