Browsing by Author "8e591e69-05d7-477e-8bfc-ce9badc05031"

Now showing items 1-2 of 2

BENIGN OVERFITTING WITH RETRIEVAL AUGMENTED MODELS

Assylbekov, Zhenisbek; Tezekbayev, Maxat; Nikoulina, Vassilina; Gallé, Matthias (Nazarbayev University School of Sciences and Humanities, 2022)

Despite the fact that modern deep neural networks have the ability to memorize (almost) the entire training set they generalize well to unseen data, contradicting traditional learning theory. This phenomenon --- dubbed ...
FOURIER NEURAL NETWORKS: A COMPARATIVE STUDY

Zhumekenov, Abylay; Uteuliyeva, Malika; Takhanov, Rustem; Assylbekov, Zhenisbek; Castro, Alejandro J. (arxiv, 2019)

We review neural network architectures which were motivated by Fourier series and integrals and which are referred to as Fourier neural networks. These networks are empirically evaluated in synthetic and real-world tasks. ...