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Found 3 papers, 2 papers with code
AutoMATES: Automated Model Assembly from Text, Equations, and Software
Models of complicated systems can be represented in different ways - in scientific papers, they are represented using natural language text as well as equations.
Meta-Learning Initializations for Image Segmentation
We extend first-order model agnostic meta-learning algorithms (including FOMAML and Reptile) to image segmentation, present a novel neural network architecture built for fast learning which we call EfficientLab, and leverage a formal definition of the test error of meta-learning algorithms to decrease error on out of distribution tasks.
Ranked #3 on
Few-Shot Semantic Segmentation
on FSS-1000
Inter-sentence Relation Extraction for Associating Biological Context with Events in Biomedical Texts
We present an analysis of the problem of identifying biological context and associating it with biochemical events in biomedical texts.
