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Found 12 papers, 4 papers with code
VIMQA: A Vietnamese Dataset for Advanced Reasoning and Explainable Multi-hop Question Answering
(4) The dataset is in Vietnamese, a low-resource language.
Controllable Group Choreography using Contrastive Diffusion
Music-driven group choreography poses a considerable challenge but holds significant potential for a wide range of industrial applications.
I-AI: A Controllable & Interpretable AI System for Decoding Radiologists' Intense Focus for Accurate CXR Diagnoses
In the field of chest X-ray (CXR) diagnosis, existing works often focus solely on determining where a radiologist looks, typically through tasks such as detection, segmentation, or classification.
Automated wildlife image classification: An active learning tool for ecological applications
(2) We provide an active learning (AL) system that allows training deep learning models very efficiently in terms of required human-labeled training images.
CapsNet for Medical Image Segmentation
We then provide recent developments of CapsNet for the task of medical image segmentation.
Shapley values for feature selection: The good, the bad, and the axioms
The Shapley value has become popular in the Explainable AI (XAI) literature, thanks, to a large extent, to a solid theoretical foundation, including four "favourable and fair" axioms for attribution in transferable utility games.
Evaluation of Inference Attack Models for Deep Learning on Medical Data
This paper aims to attract interest from researchers in the medical deep learning community to this important problem.
$k$-means on Positive Definite Matrices, and an Application to Clustering in Radar Image Sequences
We state theoretical properties for $k$-means clustering of Symmetric Positive Definite (SPD) matrices, in a non-Euclidean space, that provides a natural and favourable representation of these data.
Explaining the data or explaining a model? Shapley values that uncover non-linear dependencies
To the best of our knowledge, all existing game formulations in the machine learning and statistics literature fall into a category which we name the model-dependent category of game formulations.
DVNet: A Memory-Efficient Three-Dimensional CNN for Large-Scale Neurovascular Reconstruction
Maps of brain microarchitecture are important for understanding neurological function and behavior, including alterations caused by chronic conditions such as neurodegenerative disease.
Fast and Accurate Capitalization and Punctuation for Automatic Speech Recognition Using Transformer and Chunk Merging
However, there are still difficulties in standardizing the output of ASR such as capitalization and punctuation restoration for long-speech transcription.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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