Large language models (LLMs) have emerged as strong contenders in machine translation. Yet, they often fall behind specialized neural machine translation systems in addressing discourse phenomena, such as pronoun resolution and lexical cohesion at the document level. In the seminar, … Read More
Discover the Latest Seminars
Fair Federated Learning under Group-Specific Distributed Concept Drift
Machine learning models can become unfair when different groups experience changes in data over time, a phenomenon called group-specific concept drift. This challenge is amplified in Federated Learning, where clients may encounter different drifts while training a shared model. This … Read More
Unlocking Latent Discourse Translation in LLMs Through Quality-Aware Decoding
Large language models (LLMs) have emerged as strong contenders in machine translation. Yet, they often fall behind specialized neural machine translation systems in addressing discourse phenomena, such as pronoun resolution and lexical cohesion at the document level. In the seminar, … Read More
The Priberam Machine Learning Lunch Seminars are a series of informal meetings which occur every two weeks at Instituto Superior Técnico, in Lisbon. It works as a discussion forum involving different research groups, from IST and elsewhere. Its participants are interested in areas such as (but not limited to): statistical machine learning, signal processing, pattern recognition, computer vision, natural language processing, computational biology, neural networks, control systems, reinforcement learning, or anything related (even if vaguely) with machine learning.
The seminars last for about one hour (including time for discussion and questions) and revolve around the general topic of Machine Learning. The speaker is a volunteer who decides the topic of his/her presentation. Past seminars have included presentations about state-of-the-art research, surveys and tutorials, practicing a conference talk, presenting a challenging problem and asking for help, and illustrating an interesting application of Machine Learning such as a prototype or finished product.
Presenters can have any background: undergrads, graduate students, academic researchers, company staff, etc. Anyone is welcome both to attend the seminar as well as to present it. Occasionally we will have invited speakers. Browse the archive (on the left) for a list of all past seminars, including the speakers, titles, abstracts and, whenever possible, the video and/or slides from the presentation.
Note: The seminars are held at lunch-time, and include delicious free food.
Feel free to join our mailing list, where seminar topics are announced beforehand. You may also visit the group webpage. Anyone can attend the seminars. If you would like to present something, please send us an email.
The seminars were usually held every other Tuesday, from 1 PM to 2 PM, at the IST campus in Alameda. This sometimes changes due to availability of the speakers, so check regularly!
Meanwhile please check some of the last seminars in Priberam’s YouTube channel.