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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...
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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...
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02/01/2021
Multi-modal Ensemble Models for Predicting Video Memorability
Modeling media memorability has been a consistent challenge in the field...
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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...
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01/11/2021
From Tinkering to Engineering: Measurements in Tensorflow Playground
In this article, we present an extension of the Tensorflow Playground, c...
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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...
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11/26/2019
Efficient Saliency Maps for Explainable AI
We describe an explainable AI saliency map method for use with deep conv...
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11/15/2018
Cybercasing 2.0: You Get What You Pay For
Under U.S. law, marketing databases exist under almost no legal restrict...
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10/23/2018
One Bit Matters: Understanding Adversarial Examples as the Abuse of Redundancy
Despite the great success achieved in machine learning (ML), adversarial...
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10/04/2018
A Practical Approach to Sizing Neural Networks
Memorization is worst-case generalization. Based on MacKay's information...
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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...
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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 ...
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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...
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12/04/2017
Principle of Conservation of Computational Complexity
In this manuscript, we derive the principle of conservation of computati...
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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 ...
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10/11/2017
Audio Concept Classification with Hierarchical Deep Neural Networks
Audio-based multimedia retrieval tasks may identify semantic information...
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08/20/2017
A Capacity Scaling Law for Artificial Neural Networks
By assuming an ideal neural network with gating functions handling the w...
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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...
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03/13/2015