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Multi-modal Ensemble Models for Predicting Video Memorability
Tony Zhao, Irving Fang, Jeffrey Kim +1
Modeling media memorability has been a consistent challenge in the field of machine learning. The Predicting Media Memorability task in MediaEval2020 is the latest benchmark among…
From Tinkering to Engineering: Measurements in Tensorflow Playground
Henrik Hoeiness, Axel Harstad, Gerald Friedland
In this article, we present an extension of the Tensorflow Playground, called Tensorflow Meter (short TFMeter). TFMeter is an interactive neural network architecting tool that allo…
One Bit Matters: Understanding Adversarial Examples as the Abuse of Redundancy
Jingkang Wang, Ruoxi Jia, Gerald Friedland +2
Despite the great success achieved in machine learning (ML), adversarial examples have caused concerns with regards to its trustworthiness: A small perturbation of an input results…