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Motif-Driven Contrastive Learning of Graph Representations
A MOTIF-driven contrastive framework to pretrain a graph neural network in a self-supervised manner so that it can automatically mine motifs from large graph datasets, achieves state-of-the-art results on various graph-level downstream tasks with few labels.
Harms of Gender Exclusivity and Challenges in Non-Binary Representation in Language Technologies
- Sunipa Dev, Masoud Monajatipoor, Anaelia Ovalle, Arjun Subramonian, J. M. Phillips, Kai Wei Chang
- Computer ScienceEMNLP
- 27 August 2021
The complexity of gender and language around it is explained, how current language representations capture and perpetuate harms and related challenges that need to be acknowledged and addressed for representations to equitably encode gender information are addressed.
You reap what you sow: On the Challenges of Bias Evaluation Under Multilingual Settings
Three dimensions of developing multilingual bias evaluation frameworks are highlighted: increasing transparency through documentation, expanding targets of bias beyond gender, and addressing cultural differences that exist between languages.
Estimating the Ages of FGK Dwarf Stars through the Use of GALEX FUV Magnitudes
- Sara Crandall, Graeme H. Smith, Arjun Subramonian, Kelly Ho, Evelyn M. Cochrane
- Physics, GeologyThe Astronomical Journal
- 23 October 2020
Stellar age cannot be directly measured, yet age determinations are fundamental to understanding the evolution of stars, planets, and galaxies. The work presented here builds upon the idea of a…
Automated, Cost-Effective Optical System for Accelerated Antimicrobial Susceptibility Testing (AST) Using Deep Learning
An automated, cost-effective optical system that delivers early AST results, minimizing incubation time and eliminating human errors, while remaining compatible with standard phenotypic assay workflow is demonstrated.
Queer in AI
Queer in AI is an organization that aims to combat the harms faced by queer researchers within AI. Several inclusion initiatives are outlined, including those centered on policy and financial aid.
A Novel Method for Age Estimation in Solar-Type Stars Through GALEX FUV Magnitudes
A cost-effective system for automated early antimicrobial susceptibility testing using deep learning
We demonstrate an automated, cost-effective system that delivers early antimicrobial-susceptibility-testing results, minimizing incubation time and eliminating human errors, while remaining…