Maximizing Efficiency of Dataset Compression for Machine Learning Potentials With Information Theory
arxiv.org·2d
🧠Machine Learning
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🔥 LLM Interview Series(5): Self-supervised Learning and Next-token Prediction
🤖Grammar Induction
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Quickly about VC2
codecs.multimedia.cx·3d
🎬Video Codecs
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CDT in NLP Distinguished Lecture Series: Dan Roth
informatics.ed.ac.uk·1d
🎭Cultural Informatics
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Datasets for Training a Language Model
machinelearningmastery.com·3d
🤖Grammar Induction
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Aligning machine and human visual representations across abstraction levels
nature.com·3d
📊Learned Metrics
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I Measured Neural Network Training Every 5 Steps for 10,000 Iterations
towardsdatascience.com·15h
📊Learned Metrics
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Goodbye *ibe Coding
🌀Brotli Internals
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New software toolbox enables brain-like models to learn directly from data
phys.org·2d
🎧Learned Audio
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Brand Tagging with VLMs
🕸️WebP Analysis
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MCAD: Multimodal Context-Aware Audio Description Generation For Soccer
arxiv.org·3d
🎧Learned Audio
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Building a simple RAG system in PHP with the Neuron AI framework in one evening
🦀Rust Macros
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TSU 101 an New Type of Computing Hardware
⚡Homebrew CPUs
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From Noise to Latent: Generating Gaussian Latents for INR-Based Image Compression
arxiv.org·4d
🧠Neural Compression
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Maximizing Bugs Bunny
🗜️LZW Variants
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