Degradation-Aware Hierarchical Termination for Blind Quality Enhancement of Compressed Video
arxiv.orgΒ·2d
πRate-Distortion Theory
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The Machine Learning Roadmap
π΅Audio ML
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Thoughts on the GigaOm Radar for Vector Databases v3
thenewstack.ioΒ·1d
ποΈVector Search
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Langβs theorem β Pt. IV: a mixed-characteristic variant
ayoucis.wordpress.comΒ·10h
Ξ»Lambda Encodings
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From Shannon to Modern AI: A Complete Information Theory Guide for Machine Learning
machinelearningmastery.comΒ·2d
πEntropy Estimation
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Human-aligned Quantification of Numerical Data
arxiv.orgΒ·2d
π§ Intelligence Compression
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Google's Nested Learning aims to stop LLMs from catastrophic forgetting
the-decoder.comΒ·11h
π»Local LLMs
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Overfitting vs. Underfitting: Making Sense of the Bias-Variance Trade-Off
towardsdatascience.comΒ·17h
π§ Machine Learning
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Building StyleGAN in PyTorch: From Theory to Code
hackernoon.comΒ·1d
πLearned Metrics
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Self-supervised and Multi-fidelity Learning for Extended Predictive Soil Spectroscopy
arxiv.orgΒ·2d
π§ Machine Learning
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Pitch Multiplication (2017)
πΌAudio Lambda Calculus
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Discovering Operational Patterns Using Image-Based Convolutional Clustering and Composite Evaluation: A Case Study in Foundry Melting Processes
arxiv.orgΒ·5d
π§ Machine Learning
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People test Nano Banana with PDF paper to whiteboard. I did the exact opposite
πText Chunking
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Downsampling: Largest-Triangle-Three-Buckets and the Fourier Transform
πSpectral Compression
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