Gerald Friedland | DeepAI

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Yifan Li
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Benjamin Elizalde
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Michael Carl Tschantz
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∙ 09/16/2023

Enhancing GAN-Based Vocoders with Contrastive Learning Under Data-limited Condition

Vocoder models have recently achieved substantial progress in generating...

0 Haoming Guo, et al. ∙

∙ 05/01/2022

Detecting COVID-19 Conspiracy Theories with Transformers and TF-IDF

The sharing of fake news and conspiracy theories on social media has wid...

0 Haoming Guo, et al. ∙

∙ 02/01/2021

Multi-modal Ensemble Models for Predicting Video Memorability

Modeling media memorability has been a consistent challenge in the field...

0 Tony Zhao, et al. ∙

∙ 01/14/2021

OrigamiSet1.0: Two New Datasets for Origami Classification and Difficulty Estimation

Origami is becoming more and more relevant to research. However, there i...

12 Daniel Ma, et al. ∙

∙ 01/11/2021

From Tinkering to Engineering: Measurements in Tensorflow Playground

In this article, we present an extension of the Tensorflow Playground, c...

0 Henrik Hoeiness, et al. ∙

∙ 10/19/2020

DIME: An Online Tool for the Visual Comparison of Cross-Modal Retrieval Models

Cross-modal retrieval relies on accurate models to retrieve relevant res...

0 Tony Zhao, et al. ∙

∙ 11/26/2019

Efficient Saliency Maps for Explainable AI

We describe an explainable AI saliency map method for use with deep conv...

93 T. Nathan Mundhenk, et al. ∙

∙ 11/15/2018

Cybercasing 2.0: You Get What You Pay For

Under U.S. law, marketing databases exist under almost no legal restrict...

0 Jaeyoung Choi, et al. ∙

∙ 10/23/2018

One Bit Matters: Understanding Adversarial Examples as the Abuse of Redundancy

Despite the great success achieved in machine learning (ML), adversarial...

0 Ruoxi Jia, et al. ∙

∙ 10/04/2018

A Practical Approach to Sizing Neural Networks

Memorization is worst-case generalization. Based on MacKay's information...

0 Gerald Friedland, et al. ∙

∙ 08/22/2018

The Accuracy of the Demographic Inferences Shown on Google's Ad Settings

Google's Ad Settings shows the gender and age that Google has inferred a...

0 Michael Carl Tschantz, et al. ∙

∙ 07/10/2018

The Helmholtz Method: Using Perceptual Compression to Reduce Machine Learning Complexity

This paper proposes a fundamental answer to a frequently asked question ...

0 Gerald Friedland, et al. ∙

∙ 12/28/2017

Field Studies with Multimedia Big Data: Opportunities and Challenges (Extended Version)

Social multimedia users are increasingly sharing all kinds of data about...

0 Mario Michael Krell, et al. ∙

∙ 12/04/2017

Principle of Conservation of Computational Complexity

In this manuscript, we derive the principle of conservation of computati...

0 Gerald Friedland, et al. ∙

∙ 12/04/2017

A Data-Centric View on Computational Complexity: P = NP

P = NP SAT ∈ P. We propose this to be true because the satisfiability ...

0 Gerald Friedland, et al. ∙

∙ 10/11/2017

Audio Concept Classification with Hierarchical Deep Neural Networks

Audio-based multimedia retrieval tasks may identify semantic information...

0 Mirco Ravanelli, et al. ∙

∙ 08/20/2017

A Capacity Scaling Law for Artificial Neural Networks

By assuming an ideal neural network with gating functions handling the w...

0 Gerald Friedland, et al. ∙

∙ 07/15/2016

DCAR: A Discriminative and Compact Audio Representation to Improve Event Detection

This paper presents a novel two-phase method for audio representation, D...

0 Liping Jing, et al. ∙

∙ 03/13/2015

The YLI-MED Corpus: Characteristics, Procedures, and Plans

The YLI Multimedia Event Detection corpus is a public-domain index of vi...

0 Julia Bernd, et al. ∙

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