Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

COMI: Correct and Mitigate Shortcut Learning Behavior in Deep Neural Networks

Association for Computing Machinery (ACM) via YouTube

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore a 13-minute conference talk from the Association for Computing Machinery (ACM) that delves into the critical issue of shortcut learning in deep neural networks. Learn about COMI, a novel approach designed to correct and mitigate this problematic behavior. Discover how authors Lili Zhao, Qi Liu, Linan Yue, Wei Chen, Liyi Chen, Ruijun Sun, and Chao Song address the challenges posed by shortcut learning and present their innovative solution. Gain insights into the implications of this research for improving the robustness and reliability of deep learning models across various applications.

Syllabus

SIGIR 2024 M1.4 [fp] COMI: COrrect and MItigate Shortcut Learning Behavior in Deep Neural Networks

Taught by

Association for Computing Machinery (ACM)

Reviews

Start your review of COMI: Correct and Mitigate Shortcut Learning Behavior in Deep Neural Networks

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.