公开(公告)号：US20240273404A1

公开(公告)日：2024-08-15

申请号：US18417351

申请日：2024-01-19

Applicant: Nokia Technologies Oy

Inventor： Shohreh DELDARI ,  Dimitrios SPATHIS ,  Akhil MATHUR ,  Mohammad MALEKZADEH

IPC: G06N20/00

CPC classification number: G06N20/00

Abstract: Apparatus comprising means for: obtaining a first data sample and a second data sample; transforming the first data sample into a first feature embedding using a first machine learning model; transforming the second data sample into a second feature embedding using a second machine learning model; and generating a first global representation by masking at least one of: the first feature embedding or the second feature embedding. The apparatus further comprising means for: transforming the first global representation into a third feature embedding using a third machine learning model; and training at least the third machine learning model based on the third feature embedding.

公开(公告)号：US20250156763A1

公开(公告)日：2025-05-15

申请号：US18944800

申请日：2024-11-12

Applicant: Nokia Technologies Oy

Inventor： Ryuhaerang CHOI ,  Soumyajit CHATTERJEE ,  Dimitrios SPATHIS ,  Mohammad MALEKZADEH

IPC: G06N20/00

Abstract: Example embodiments may relate to systems, methods and/or computer programs for reusing data for training machine learning models. In an example, an apparatus comprises means for receiving a request to collect new user data for training a machine learning model associated with an application. The apparatus may also comprise means for identifying existing stored data suitable for training the machine learning model based upon an ontology. The apparatus may also comprise means for providing access to the identified existing stored data in response to identifying that the data is suitable for training the machine learning model.

公开(公告)号：US20240127057A1

公开(公告)日：2024-04-18

申请号：US18467096

申请日：2023-09-14

Applicant: Nokia Technologies Oy

Inventor： Dimitrios SPATHIS ,  Akhil MATHUR

IPC: G06N3/08

CPC classification number: G06N3/08

Abstract: There is provided an apparatus, method and computer program for a network node comprising access to a pre-trained neural network node model, for causing the network node to: receive, from an apparatus, a request for a first plurality of embeddings associated with an intermediate layer of the neural network node model; and signal said first plurality of embeddings to the apparatus.