This is a selection of papers from the NeurIPS D&B track (Joaquin Vanschoren and Isabelle Guyon); in progress.
This is a selection of papers from the NeurIPS D&B track (Joaquin Vanschoren and Isabelle Guyon); in progress.
WildfireDB: An Open-Source Dataset Connecting: Wildfire Spread with Relevant Determinants
Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting
Benchmarking Bias Mitigation Algorithms in Representation Learning through Fairness Metrics
Measuring Mathematical Problem Solving With the MATH Dataset
An Extensible Benchmark Suite for Learning to Simulate Physical Systems
Reduced, Reused and Recycled: The Life of a Dataset in Machine Learning Research
Mitigating dataset harms requires stewardship: Lessons from 1000 papers
It's COMPASlicated: The Messy Relationship between RAI Datasets and Algorithmic Fairness Benchmarks
Teach Me to Explain: A Review of Datasets for Explainable Natural Language Processing
Are We Learning Yet? A Meta Review of Evaluation Failures Across Machine Learning