Adaptive Hyperparameter Optimization for Continual Learning Scenarios

Rudy Semola, Julio Hurtado, Vincenzo Lomonaco, Davide Bacciu; Proceedings of the 1st ContinualAI Unconference, 2023, PMLR 249:1-14

[abs][Download PDF][OpenReview]

AdaCL: Adaptive Continual Learning

Elif Ceren Gok Yildirim, Murat Onur Yildirim, Mert Kilickaya, Joaquin Vanschoren; Proceedings of the 1st ContinualAI Unconference, 2023, PMLR 249:15-24

[abs][Download PDF][OpenReview]

CD-IMM: The Benefits of Domain-based Mixture Models in Bayesian Continual Learning

Daniele Castellana, Antonio Carta, Davide Bacciu; Proceedings of the 1st ContinualAI Unconference, 2023, PMLR 249:25-36

[abs][Download PDF][OpenReview]

Two Complementary Perspectives to Continual Learning: Ask Not Only What to Optimize, But Also How

Timm Hess, Tinne Tuytelaars, Gido M van de Ven; Proceedings of the 1st ContinualAI Unconference, 2023, PMLR 249:37-61

[abs][Download PDF][OpenReview]

Implicit Neural Representation as vectorizer for classification task applied to diverse data structures

Thibault Malherbe; Proceedings of the 1st ContinualAI Unconference, 2023, PMLR 249:62-76

[abs][Download PDF][OpenReview]

Examining Changes in Internal Representations of Continual Learning Models Through Tensor Decomposition

Nishant Suresh Aswani, Amira Guesmi, Muhammad Abdullah Hanif, Muhammad Shafique; Proceedings of the 1st ContinualAI Unconference, 2023, PMLR 249:62-82

[abs][Download PDF][OpenReview]