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Continual Learning (A.A. 2024-2025)
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Corso di Laurea Magistrale in Informatica (LM-18)
CL 24/25
KTA - Knowledge Transfer and Adaptation
KTA4 - Self-Supervised Learning
KTA4 - Self-Supervised Learning
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Per visualizzare il file, fai click su questo link:
KTA4 - Self-Supervised Learning.pdf
◄ KTA3 - Multi-Task Learning
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Course Introduction - slides
OML1 - Intro
OML2 - Concept Drift
OML3 - Online Classification Models
OML4 - Ensemble Methods
OML5 - Time Series Analysis
datasets
dataset - airline passengers
KTA1 - Intro Deep Learning
KTA2 - Finetuning and Domain Adaptation
KTA3 - Multi-Task Learning
KTA5 - Meta-Learning, Few-Shot Learning, Deep Metric Learning
kTA6 - Optimization-based Meta Learning
DCL1 - Deep Continual Learning
DCL2 - Scenarios, Evaluation, Metrics
DCL3 - Baselines and Replay
DCL4 - Regularization Prior
DCL5 - Regularization
DCL6-strategies-classifier-architectural
ARF1 - Active Learning and Curriculum Learning
ARF2 - OOD Detection and Open World
ARF3 - Adversarial ML
ARF4 - Pretrained Models
Seminars
KTA5 - Meta-Learning, Few-Shot Learning, Deep Metric Learning ►