Uncertainty-aware reliable text classification
Deep neural networks have significantly contributed to the success in predictive accuracy for
classification tasks. However, they tend to make over-confident predictions in real-world …
classification tasks. However, they tend to make over-confident predictions in real-world …
Knowing When You Don't Know in Online Fashion: An Uncertainty-Aware Size Recommendation Framework
H Bahuleyan, J Lasserre, L Lefakis… - Recommender Systems in …, 2022 - Springer
In recent years of online fashion, the availability of large-scale datasets has fueled the
success of data-driven algorithmic products for supporting customers in their journey on …
success of data-driven algorithmic products for supporting customers in their journey on …
Transfer Learning and Uncertainty Quantification in Natural Language Processing for Political Science and Cyber Security
Y Hu - 2023 - search.proquest.com
Abstract Recent advancements in Natural Language Processing (NLP) driven by pretrained
language models have revolutionized various fields reliant on large-scale text-based …
language models have revolutionized various fields reliant on large-scale text-based …
[PDF][PDF] Design of novelty detection techniques for optimized search engine results
S Kumar - 2021 - dspace-jcboseust.refread.com
ABSTRACT World Wide Web is a large hyperlinked information reservoir which includes
text, audio, video and metadata information etc. It has evolved as an important information …
text, audio, video and metadata information etc. It has evolved as an important information …