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GUITAR: Gradient Pruning toward Fast Neural Ranking - Efficiency for Search

Association for Computing Machinery (ACM) via YouTube

Overview

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Explore a cutting-edge approach to neural ranking in this 11-minute conference talk from SIGIR 2024. Delve into the innovative GUITAR (Gradient Pruning toward Fast Neural Ranking) method presented by authors Weijie Zhao, Shulong Tan, and Ping Li. Learn how this technique aims to enhance the efficiency of search algorithms through gradient pruning, potentially revolutionizing the speed and performance of neural ranking systems. Gain insights into the latest advancements in information retrieval and machine learning as applied to search technology.

Syllabus

SIGIR 2024 M1.3 [fp] GUITAR: Gradient Pruning toward Fast Neural Ranking

Taught by

Association for Computing Machinery (ACM)

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