This paper explores the area of sentiment analysis on noisy Bengali texts, a language with limited resources in this realm. A dataset (NC-SentNoB) was manually annotated to identify ten different…
Continue readingThis article presents the development of LT-ViT, a Vision Transformer (ViT) for multi-label Chest X-ray (CXR) classification. Unlike previous ViTs, LT-ViT aggregates information from multiple scales, improving vision-only training for…
Continue readingThe study titled ‘Multi-label Open-set Audio Classification’ by Sripathi Sridhar and Mark Cartwright discusses the limitations of current audio classification models and the need for open-set audio classification techniques. These…
Continue readingThe article ‘Taming the Sigmoid Bottleneck: Provably Argmaxable Sparse Multi-Label Classification’ discusses a common issue in multi-label classification (MLC) tasks, the ‘Sigmoid Bottleneck’. This refers to the occurrence of ‘unargmaxable’…
Continue readingThis research article investigates the potential of Dual-encoder (DE) models in extreme multi-label classification (XMC) tasks. DE models, known for their success in dense retrieval tasks, are analyzed in the…
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