Feb. 13, 2024, 5:41 a.m. | Masanari Kimura

cs.LG updates on arXiv.org arxiv.org

Test-Time Augmentation (TTA) is a very powerful heuristic that takes advantage of data augmentation during testing to produce averaged output. Despite the experimental effectiveness of TTA, there is insufficient discussion of its theoretical aspects. In this paper, we aim to give theoretical guarantees for TTA and clarify its behavior.

aim augmentation behavior cs.lg data experimental paper test testing understanding

Research Scholar (Technical Research)

@ Centre for the Governance of AI | Hybrid; Oxford, UK

HPC Engineer (x/f/m) - DACH

@ Meshcapade GmbH | Remote, Germany

Data Architect

@ Dyson | India - Bengaluru IT Capability Centre

GTM Operation and Marketing Data Analyst

@ DataVisor | Toronto, Ontario, Canada - Remote

Associate - Strategy & Business Intelligence

@ Hitachi | (HE)Office Rotterdam

Senior Executive - Data Analysis

@ Publicis Groupe | Beirut, Lebanon