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Found 14 papers, 7 papers with code
PPLqa: An Unsupervised Information-Theoretic Quality Metric for Comparing Generative Large Language Models
The method and metric enables users to rank generative language models for quality of responses, so as to make a selection of the best model for a given task.
Detecting COVID-19 Conspiracy Theories with Transformers and TF-IDF
The sharing of fake news and conspiracy theories on social media has wide-spread negative effects.
Multi-modal Ensemble Models for Predicting Video Memorability
Modeling media memorability has been a consistent challenge in the field of machine learning.
OrigamiSet1.0: Two New Datasets for Origami Classification and Difficulty Estimation
Origami is becoming more and more relevant to research.
From Tinkering to Engineering: Measurements in Tensorflow Playground
In this article, we present an extension of the Tensorflow Playground, called Tensorflow Meter (short TFMeter).
DIME: An Online Tool for the Visual Comparison of Cross-Modal Retrieval Models
Cross-modal retrieval relies on accurate models to retrieve relevant results for queries across modalities such as image, text, and video.
Efficient Saliency Maps for Explainable AI
This provides an interesting comparison of scale information contributions within the network not provided by other saliency map methods.
One Bit Matters: Understanding Adversarial Examples as the Abuse of Redundancy
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 in an arbitrary failure of an otherwise seemingly well-trained ML model.
A Practical Approach to Sizing Neural Networks
This allows an estimate of the required size of a neural network for a given problem.
The Helmholtz Method: Using Perceptual Compression to Reduce Machine Learning Complexity
This paper proposes a fundamental answer to a frequently asked question in multimedia computing and machine learning: Do artifacts from perceptual compression contribute to error in the machine learning process and if so, how much?
A Capacity Scaling Law for Artificial Neural Networks
First, we derive the calculation of what we call the lossless memory (LM) dimension.
The YLI-MED Corpus: Characteristics, Procedures, and Plans
The YLI Multimedia Event Detection corpus is a public-domain index of videos with annotations and computed features, specialized for research in multimedia event detection (MED), i. e., automatically identifying what's happening in a video by analyzing the audio and visual content.
YFCC100M: The New Data in Multimedia Research
We present the Yahoo Flickr Creative Commons 100 Million Dataset (YFCC100M), the largest public multimedia collection that has ever been released.
Multimedia Computers and Society H.3.7
Image Segmentation by Uniform Color Clustering Approach and Benchmark Results
The following article presents an approach for interactive foreground extraction in still images.
