neurips-2026
Benchmark and systems for extracting Croissant metadata from ML dataset papers (NeurIPS 2026, Evaluations and Datasets Track)
CALM: interpretable by design — accurate locally additive models for tabular data (NeurIPS 2026)
[NeurIPS 2026] "CausalCompass: Evaluating the Robustness of Time-Series Causal Discovery in Misspecified Scenarios"
