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Syntax on the brain: Researchers map how we build sentences, word by word
In a recent study published in Communications Psychology, researchers from NYU led by Associate Professor of Biomedical ...
GitHub6mon
elkhouryk/RS-TransCLIP: [ICASSP 2025] Open-source code for the paper "Enhancing Remote Sensing Vision-Language Models for Zero-Shot Scene Classification" - GitHub
The run_TransCLIP.py script will use the Image embeddings "images.pt", the Average Text embedding "texts_averageprompt.pt" and the class ground truth labels "classes.pt" to run Transductive zero-shot ...
IEEE10mon
Medical Social Media Text Classification Integrating Consumer Health Terminology - IEEE Xplore
Classification of text from social media on medical subjects is divided into two sub-tasks: consumer health terminology extraction and text classification. First, text characteristics based on the ...
Microsoft2y
Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing
Self-supervised learning in vision-language processing exploits semantic alignment between imaging and text modalities. Prior work in biomedical VLP has mostly relied on the alignment of single image ...
GitHub2y
ESC-50: Dataset for Environmental Sound Classification
Learning from Between-class Examples for Deep Sound Recognition: Baseline CNN (piczak2015b) + Batch Normalization + Between-Class learning: 76.90%: tokozume2017b: Novel TEO-based Gammatone Features ...
VentureBeat3y
What is artificial intelligence classification? - VentureBeat
The first job for many artificial intelligence (AI) algorithms is to examine the data and find the best classification. An autonomous car, for example, may take an image of a street sign; the ...
syncedreview3y
Baidu & UTS Propose Practical Quantum Self-Attention Neural Networks for Text Classification - Synced
In the new paper Quantum Self-Attention Neural Networks for Text Classification, a team from Baidu Research and the University of Technology Sydney proposes the quantum self-attention neural network ...