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A replication about hierarchical shrinkage as regularization for tree-based predictive methods.

A replication about calibration and predictive uncertainty in deep neural networks, including mixup in its source keywords.

A replication about graph representations and fairness-aware data augmentation, with separate upstream code and data records.

A Python replication concerning network deconvolution; the upstream record links an ImageNet data source whose access and redistribution require separate review.

A replication that connects object detection with knowledge graphs and semantic consistency.

A replication of causally aware synthetic-data generation aimed at fairness evaluation.

A replication concerning label smoothing in neural-network training.

A replication of exploration in model-based reinforcement learning using estimates of learning progress.

Marine morphometrics for studying relationships between body measurements and growth indicators.

Multi-environment agent benchmark repository for investigating task adapters and evaluation consistency.

A documented artificial maintenance dataset for testing rare-failure evaluation and shortcut learning.

Air-quality sensor readings and reference measurements for investigating calibration over time.