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MatSciBERT: A materials domain language model for text mining and information extraction
A large amount of materials science knowledge is generated and stored as text published in
peer-reviewed scientific literature. While recent developments in natural language …
peer-reviewed scientific literature. While recent developments in natural language …
DeepEthogram, a machine learning pipeline for supervised behavior classification from raw pixels
Videos of animal behavior are used to quantify researcher-defined behaviors of interest to
study neural function, gene mutations, and pharmacological therapies. Behaviors of interest …
study neural function, gene mutations, and pharmacological therapies. Behaviors of interest …
Distributional preference learning: Understanding and accounting for hidden context in rlhf
A Siththaranjan, C Laidlaw… - ar** molecular therapies require deciphering the
cell types in which proteins act as well as the interactions between proteins. However …
cell types in which proteins act as well as the interactions between proteins. However …
Fully automated, semantic segmentation of whole-body 18F-FDG PET/CT images based on data-centric artificial intelligence
We introduce multiple-organ objective segmentation (MOOSE) software that generates
subject-specific, multiorgan segmentation using data-centric artificial intelligence principles …
subject-specific, multiorgan segmentation using data-centric artificial intelligence principles …
[PDF][PDF] Deep Polarized Network for Supervised Learning of Accurate Binary Hashing Codes.
This paper proposes a novel deep polarized network (DPN) for learning to hash, in which
each channel in the network outputs is pushed far away from zero by employing a …
each channel in the network outputs is pushed far away from zero by employing a …