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Found 4 papers, 2 papers with code
Thread Detection and Response Generation using Transformers with Prompt Optimisation
To address these challenges an end-to-end model that identifies threads and prioritises their response generation based on the importance was developed, involving a systematic decomposition of the problem into discrete components - thread detection, prioritisation, and performance optimisation which was meticulously analysed and optimised.
Semi-Supervised Domain Adaptation by Similarity based Pseudo-label Injection
In our approach, to align the two domains, we leverage contrastive losses to learn a semantically meaningful and a domain agnostic feature space using the supervised samples from both domains.
ViTOL: Vision Transformer for Weakly Supervised Object Localization
Common challenges that image classification models encounter when localizing objects are, (a) they tend to look at the most discriminative features in an image that confines the localization map to a very small region, (b) the localization maps are class agnostic, and the models highlight objects of multiple classes in the same image and, (c) the localization performance is affected by background noise.
Wind ramp event prediction with parallelized Gradient Boosted Regression Trees
Accurate prediction of wind ramp events is critical for ensuring the reliability and stability of the power systems with high penetration of wind energy.
