1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2024
The twin peaks of learning neural networks
Elizaveta Demyanenko, Christoph Feinauer, Enrico M. Malatesta +1
Recent works demonstrated the existence of a double-descent phenomenon for the generalization error of neural networks, where highly overparameterized models escape overfitting and…
cs.LG2023★ 1 cited
Optimal transfer protocol by incremental layer defrosting
Federica Gerace, Diego Doimo, Stefano Sarao Mannelli +2
Transfer learning is a powerful tool enabling model training with limited amounts of data. This technique is particularly useful in real-world problems where data availability is o…