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Found 6 papers, 1 papers with code
Graph Transformers without Positional Encodings
Recently, Transformers for graph representation learning have become increasingly popular, achieving state-of-the-art performance on a wide-variety of datasets, either alone or in combination with message-passing graph neural networks (MP-GNNs).
Towards Earlier Detection of Oral Diseases On Smartphones Using Oral and Dental RGB Images
Oral diseases such as periodontal (gum) diseases and dental caries (cavities) affect billions of people across the world today.
Towards efficient end-to-end speech recognition with biologically-inspired neural networks
Automatic speech recognition (ASR) is a capability which enables a program to process human speech into a written form.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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MIPE: A Metric Independent Pipeline for Effective Code-Mixed NLG Evaluation
Code-mixing is a phenomenon of mixing words and phrases from two or more languages in a single utterance of speech and text.
SEAL: Scientific Keyphrase Extraction and Classification
Automatic scientific keyphrase extraction is a challenging problem facilitating several downstream scholarly tasks like search, recommendation, and ranking.
A Machine Learning Application for Raising WASH Awareness in the Times of COVID-19 Pandemic
Conclusion: We conclude that a multi-pronged machine learning application delivering vernacular bite-sized audios and conversational AI is an effective approach to mitigate health misinformation.
