Aligning machine and human visual representations across abstraction levels
nature.com·4h
📊Learned Metrics
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Lossless Compression with Asymmetric Numeral Systems (2020)
bjlkeng.io·2d·
Discuss: Hacker News
🎯Arithmetic Coding
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Datasets for Training a Language Model
machinelearningmastery.com·4h
🤖Grammar Induction
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The 5 FREE Must-Read Books for Every AI Engineer
kdnuggets.com·8h
🔲Cellular Automata
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Deep Learning for Molecules and Materials
dmol.pub·2d·
Discuss: Hacker News
🕸️Tensor Networks
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Seeing Shapes: Unveiling Neural Network Vision with Fourier Geometry by Arvind Sundararajan
dev.to·2d·
Discuss: DEV
🌀Differential Geometry
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Explaining Bayesian Neural Networks
arxiv.org·1d
📐Information Geometry
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From Noise to Latent: Generating Gaussian Latents for INR-Based Image Compression
arxiv.org·16h
🧠Neural Compression
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Bandits in Your LLM Gateway
tensorzero.com·1d·
Discuss: Hacker News
🧮Kolmogorov Bounds
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Apple's LLM Breakthrough
xray.greyb.com·1d·
Discuss: Hacker News
🖥️Hardware Architecture
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The Three Ages of Data Science: When to Use Traditional Machine Learning, Deep Learning, or an LLM (Explained with One Example)
towardsdatascience.com·1d
🧪Data science
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One Weird Hashing Trick
notes.hella.cheap·3h·
📚Lempel-Ziv
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An Efficient Gradient-Aware Error-Bounded Lossy Compressor for Federated Learning
arxiv.org·1d
🌊Streaming Compression
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L2T-Hyena: Enhancing State-Space Models with an Adaptive Learn-to-Teach Framework
arxiv.org·1d
🧠Learned Codecs
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Capturing Complex Spatial-Temporal Dependencies in Traffic Forecasting: A Self-Attention Approach
arxiv.org·16h
🧮Kolmogorov Bounds
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Information Capacity: Evaluating the Efficiency of Large Language Models via Text Compression
arxiv.org·16h
🧠Intelligence Compression
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