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cs.LG2026
Active Continual Learning with Metaplastic Binary Bayesian Neural Networks
Kellian Cottart, Théo Ballet, Djohan Bonnet +1
Always-on edge systems must keep learning as conditions change under tight compute budgets and must detect unreliable predictions. Bayesian binary neural networks are attractive in…
cs.LG2026
Learning to Remember, Learn, and Forget in Attention-Based Models
Djohan Bonnet, Jamie Lohoff, Jan Finkbeiner +2
In-Context Learning (ICL) in transformers acts as an online associative memory and is believed to underpin their high performance on complex sequence processing tasks. However, in…
cs.ET2026
Forward-only learning in memristor arrays with month-scale stability
Adrien Renaudineau, Mamadou Hawa Diallo, Théo Dupuis +12
Turning memristor arrays from efficient inference engines into systems capable of on-chip learning has proved difficult. Weight updates have a high energy cost and cause device wea…