I made a transformer by hand (no training)
vgel.me·9h·
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Uncertainty-aware Test-Time Training (UT$^3$) for Efficient On-the-fly Domain Adaptive Dense Regression
arxiv.org·10h
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Logistic regression is one of the simplest models in machine learning, and one of the most revealing.
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10 Python One-Liners Every Machine Learning Practitioner Should Know
machinelearningmastery.com·1d
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50 Machine Learning MCQs with Answers
dev.to·2d·
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Learning Mechanism Underlying NLP Pre-Training and Fine-Tuning
arxiv.org·10h
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Boosting Your Anomaly Detection With LLMs
towardsdatascience.com·1h
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arxiv.org·10h
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Automated Atomic Layer Deposition (ALD) Parameter Optimization via Bayesian Neural Networks
dev.to·13h·
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Nonlinear Performative Prediction
arxiv.org·1d
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Convolutional Denoising Autoencoders for Diagnostic Images
haydenramm.bearblog.dev·1d
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Convergence for adaptive resampling of random Fourier features
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arxiv.org·1d
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Reinforcement Learning for Machine Learning Engineering Agents
arxiv.org·1d
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ML Systems: Motivating Dense Models
jacobkahn.me·16h·
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LLMs are Bayesian, in Expectation, not in Realization
researchgate.net·2d·
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Postit 2025-09-04 09:03:07
dinandmentink.nl·7h
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How a 20-Year-Old Algorithm Can Help Us Understand Transformer Embeddings
ai.stanford.edu·3d·
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