1.2k citations
- University of AucklandNZ89 papers
- Commonwealth Scientific and Industrial Research OrganisationAU64 papers
- Swinburne University of TechnologyAU58 papers
- University of ManchesterGB57 papers
- Max Planck Institute for Radio AstronomyDE50 papers
- Centre National de la Recherche ScientifiqueFR46 papers
- ARC Centre of Excellence for Gravitational Wave DiscoveryAU45 papers
- International Centre for Radio Astronomy ResearchAU45 papers
- Curtin UniversityAU42 papers
- Australia Telescope National FacilityAU40 papers
- Korea Astronomy and Space Science InstituteKR36 papers
- The Ohio State UniversityUS36 papers
8 papers · 1 filter
Conformal Adversarial Generative Ensemble
Ahmad Shahi, Mamehgol Yousefi, Brendon J. Woodford +2
Accurate time series forecasting is critical across various domains, yet traditional ensemble methods often suffer from the disproportionate influence of extreme forecasts. We intr…
Parameter-Efficient Continual Fine-Tuning: A Survey
Eric Nuertey Coleman, Luigi Quarantiello, Ziyue Liu +4
The emergence of large pre-trained networks has revolutionized the AI field, unlocking new possibilities and achieving unprecedented performance. However, these models inherit a fu…
Humanity's Last Exam
Long Phan, Alice Gatti, Ziwen Han +1144
Benchmarks are important tools for tracking the rapid advancements in large language model (LLM) capabilities. However, benchmarks are not keeping pace in difficulty: LLMs now achi…
A system on chip for melanoma detection using FPGA-based SVM classifier
Shereen Afifi, Hamid GholamHosseini, Roopak Sinha
Support Vector Machine (SVM) is a robust machine learning model that shows high accuracy with different classification problems, and is widely used for various embedded application…
ISeeU2: Visually Interpretable ICU mortality prediction using deep learning and free-text medical notes
William Caicedo-Torres, Jairo Gutierrez
Accurate mortality prediction allows Intensive Care Units (ICUs) to adequately benchmark clinical practice and identify patients with unexpected outcomes. Traditionally, simple sta…
ISeeU: Visually interpretable deep learning for mortality prediction inside the ICU
William Caicedo-Torres, Jairo Gutierrez
To improve the performance of Intensive Care Units (ICUs), the field of bio-statistics has developed scores which try to predict the likelihood of negative outcomes. These help eva…