External articles
[Re] Hierarchical Shrinkage: Improving the Accuracy and Interpretability of Tree-Based Methods
A replication about hierarchical shrinkage as regularization for tree-based predictive methods.
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External articles
[Re] Improved Calibration and Predictive Uncertainty for Deep Neural Networks
A replication about calibration and predictive uncertainty in deep neural networks, including mixup in its source keywords.
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External articles
[Re] Learning Fair Graph Representations via Automated Data Augmentations
A replication about graph representations and fairness-aware data augmentation, with separate upstream code and data records.
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External articles
[Re] Network Deconvolution
A Python replication concerning network deconvolution; the upstream record links an ImageNet data source whose access and redistribution require separate review.
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External articles
[Re] Object Detection Meets Knowledge Graphs
A replication that connects object detection with knowledge graphs and semantic consistency.
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External articles
[Re] When Does Label Smoothing Help?
A replication concerning label smoothing in neural-network training.
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External articles
[~Re] Exploration in Model-based Reinforcement Learning by Empirically Estimating Learning Progress
A replication of exploration in model-based reinforcement learning using estimates of learning progress.
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Datasets
Abalone
Marine morphometrics for studying relationships between body measurements and growth indicators.
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Software
AgentBench
Multi-environment agent benchmark repository for investigating task adapters and evaluation consistency.
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Datasets
AI4I 2020 Predictive Maintenance Dataset
A documented artificial maintenance dataset for testing rare-failure evaluation and shortcut learning.
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Datasets
Air Quality
Air-quality sensor readings and reference measurements for investigating calibration over time.
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Datasets
Airfoil Self-Noise
Aeroacoustic measurements for examining nonlinear physical response prediction.
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