Decoding the Ear: A Framework for Objectifying Expressiveness from Human Preference Through Efficient Alignment
arxiv.org·1h
👂Psychoacoustic Coding
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Half-Quadratic Quantization of large machine learning models
dropbox.tech·1d
📊Quantization
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When Transformers Sing: Adapting SpectralKD for Text-Based Knowledge Distillation
towardsdatascience.com·12h
🧠Intelligence Compression
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The Machine Learning Practitioner’s Guide to Fine-Tuning Language Models
machinelearningmastery.com·15h
📊Feed Optimization
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If You Need AI to Hear the ‘Soul’ in Rap, You Were Never Listening
rollingstone.com·14h
💿Binary Musicology
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Compress to Impress: Efficient LLM Adaptation Using a Single Gradient Step on 100 Samples
arxiv.org·1h
🧠Neural Compression
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Decision Trees Evolved: Faster, Smarter Reinforcement Learning by Arvind Sundararajan
🧠Intelligence Compression
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What Makes Music Sound "Good?"
🎼Audio Lambda Calculus
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A Scalable, Causal, and Energy Efficient Framework for Neural Decoding with Spiking Neural Networks
arxiv.org·1h
🧠Neural Codecs
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Flipping the script on machine learning – data first, models later
software.ac.uk·16h
🎵Audio ML
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Unraveling Emotions with Pre-Trained Models
arxiv.org·1d
🧠Learned Codecs
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MEIcoder: Decoding Visual Stimuli from Neural Activity by Leveraging Most Exciting Inputs
arxiv.org·1h
🧠Neural Codecs
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The Failure Mode of AI Isn't Hallucination, It's Fidelity Loss
🧠Intelligence Compression
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When Models Manipulate Manifolds: The Geometry of a Counting Task
🌀Differential Geometry
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