Sessions Overview – ECML PKDD 2023

Tue 19 Sep 23
Time/Room	Fucine	Binario3	Aula 1i	Aula 3i	Aula 5i	Aula 7i	Aula 9i	Aula 11i	Aula 10i	Foyer2
9:00-10:00	Keynote 1: Max Welling
10:30-12:30	Best Paper Awards
14:00-16:00	Deep Learning Theory	Graphs 1	Information Retrieval	Mobility 1	Clustering 1	Time Series 1	Reinforcement Learning 1	Image Processing & Computer Vision 1
16:30-18:30	Natural Language Processing 1	Graph Neural Networks 1	Recommender Systems	Finance & Fraud Detection	Clustering 2	Time Series 2	Health & Bio 1	Outliers & Anomaly Detection
18:30-20:30	Aperitif	Demo								Poster
Wed 20 Sep 23
Time/Room	Fucine	Binario3	Aula 1i	Aula 3i	Aula 5i	Aula 7i	Aula 9i	Aula 11i	Aula 10i	Foyer2
9:00-10:00	Keynote 2: Michael Bronstein
10:30-12:30	Selection of best papers from Journal Track
14:00-16:00	Interpretability & Explainability 1	Sustainability & Climate	Representation Learning 1	Natural Language Processing 2	Transfer & Multitask Learning 1	Knowledge Graphs	Neurosymbolic Learning	Journal Track Mix 1
16:30-18:30	Interpretability & Explainability 2	AI in Industry With sponsored talks by: Bosch, AstraZeneca	Representation Learning 2	Reinforcement Learning 2	Web & Social	Graphs 2	Few-shot Learning	Mobility 2
18:30-20:30	Aperitif	Demo								Poster
Thu 21 Sep 23
Time/Room	Fucine	Binario3	Aula 1i	Aula 3i	Aula 5i	Aula 7i	Aula 9i	Aula 11i	Aula 10i
9:00-10:00	Keynote 3: Kate Crawford
10:30-12:30	Generative Models 1	Federated Learning	Graphs 3	Adversarial Machine Learning	Active Learning	Robustness	Large-scale Learning	Optimization 1	Applications Mix 1
14:00-16:00		Fairness	Graph Neural Networks 2	Healt h & Bio 2	Image Processing & Computer Vision 2	Supervised Learning	Journal Track Mix 2	Optimization 2	Applications Mix 2
16:30-18:00		Bias	Graph Contrastive Learning	Bayesian Methods	Generative Models 2	Transfer & Multitask Learning 2	Causality	Spatio-temporal data
18:00-19:30		Community Meeting
19:30-22:00	Gala Dinner

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