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Tutorials: Towards AI – Machine Learning Fundamentals
Tutorial: KDnuggets – Retraining the Model
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arxiv.org Computer Science – ML RSS Feed

Studying Limits of Explainability by Integrated Gradients for Gene Expression Models. (arXiv:2303.11336v1 [q-bio.GN])
Neural Message Passing for Objective-Based Uncertainty Quantification and Optimal Experimental Design. (arXiv:2203.07120v3 [cs.LG] UPDATED)
CoReS: Compatible Representations via Stationarity. (arXiv:2111.07632v2 [cs.CV] UPDATED)
DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing. (arXiv:2111.09543v3 [cs.CL] UPDATED)
Sharpness-aware Quantization for Deep Neural Networks. (arXiv:2111.12273v5 [cs.CV] UPDATED)

arxiv.org Statistics – ML RSS Feed

Solving High-Dimensional Inverse Problems with Auxiliary Uncertainty via Operator Learning with Limited Data. (arXiv:2303.11379v1 [stat.ML])
Graph Kalman Filters. (arXiv:2303.12021v1 [cs.LG])
Long-tailed Classification from a Bayesian-decision-theory Perspective. (arXiv:2303.06075v2 [cs.LG] UPDATED)
Statistical Analysis of Karcher Means for Random Restricted PSD Matrices. (arXiv:2302.12426v3 [stat.ML] UPDATED)
Simplifying Momentum-based Riemannian Submanifold Optimization. (arXiv:2302.09738v2 [stat.ML] UPDATED)

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