Events

Past events

15Aug
15 August 2026 · INESC-ID, Room 336
MLKD Seminar: LLMs for scientific discovery
André Duarte
9Sept
9 September 2025
Deep Feedback Models
David Calhas
4Feb
4 February 2025
DIS-CO: Discovering Copyrighted Content in VLMs Training Data
André Duarte
28Jan
28 January 2025
VisMin: Visual Minimal-Change Understanding
Helder Dias
17Dec
17 December 2024
Segment Anything
João Marques
29Oct
29 October 2024
Gecko: Versatile Text Embeddings Distilled from Large Language Models
Luís Borges
8Oct
8 October 2024
Brain Decodes Deep Nets
Francisco Guedes
1Oct
1 October 2024
When Do We Not Need Larger Vision Models?
Hélder Dias
16Apr
16 April 2024
Energy Transformer
David Calhas
5Mar
5 March 2024
DE-COP: Detecting Copyrighted Content in Language Models Training Data
André Duarte
30Jan
30 January 2024
Hopfield networks is all you need
David Calhas
23Jan
23 January 2024
Machine Learning as a magnifying glass to study society
Joana Gonçalves de Sá
5Dec
5 December 2023
Text Embeddings by Weakly-Supervised Contrastive Pre-training
João Coelho
3Oct
3 October 2023
Towards General Text Embeddings with Multi-stage Contrastive Learning
Luís Borges
11Jul
11 July 2023
Self-Consistent Models and Values
Zita Marinho
7Feb
7 February 2023
Efficient Long-Text Understanding with Short-Text Models
João Coelho
24Jan
24 January 2023
Training language models to follow instructions with human feedback
Arlindo Oliveira and Alexandre Borges
14Dec
14 December 2022
A Contrastive Framework for Neural Text Generation
João Gante
4Oct
4 October 2022
Text-to-Text Multi-view Learning for Passage Re-ranking
Luís Borges
20Sept
20 September 2022
Compositional Attention: Disentangling Search and Retrieval
João Daniel Silva
7Jun
7 June 2022
A contrastive rule for meta-learning
João Sacramento
29Mar
29 March 2022
Sanity Checks for Saliency Maps
Bálint Magyar
15Mar
15 March 2022
A ConvNet for the 2020s
João Silva