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You Do NOT need augmentations to train your Classifiers!!
dev.to·12h·
Discuss: DEV
🧠Machine Learning
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Deep Convolutional Networks on Graph-Structured Data
paperium.net·2d·
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📊Spectral Graphs
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Meta's Pixio proves simple pixel reconstruction can beat complex vision models
the-decoder.com·14h
🧠Neural Compression
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What Is ChatGPT Doing?
vibediary.dev·2d·
Discuss: Hacker News
🧠Neural Codecs
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Deep Kronecker Network
arxiv.org·2d
🧠Machine Learning
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Building a Neural Network from scratch
pub.towardsai.net
·2d
🧠Machine Learning
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Towards Accurate Generative Models of Video: A New Metric & Challenges
dev.to·7h·
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🧠Learned Codecs
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Exploring TabPFN: A Foundation Model Built for Tabular Data
towardsdatascience.com·11h
📝ABNF Parsing
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wwes4/AI_Accel_1.5x: AI acceleration framework for ~1.5x speedups in mid-sized models via tension-based pruning. Built utilizing xAI's Grok.
github.com·1d·
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📊Quantization
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Courses with certificates
codefinity.com·19h
🧠Neural Codecs
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The Empiricism Gap in Computer Science
doomscrollingbabel.manoel.xyz·1d·
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⚡Performance Mythology
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The Transformer Architecture: A Deep Dive into How LLMs Actually Work
dev.to·6h·
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📝Text Parsing
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Opening the Black Box of Deep Neural Networks via Information
paperium.net·1d·
Discuss: DEV
🧠Machine Learning
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Benchmarking and Enhancing VLM for Compressed Image Understanding
arxiv.org·2d
🧠Learned Compression
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The Machine Learning “Advent Calendar” Day 24: Transformers for Text in Excel
towardsdatascience.com·3d
🧮Vector Embeddings
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Book Review: Why Machines Learn
philippdubach.com·1d·
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🧠Machine Learning
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CHAMMI-75: pre-training multi-channel models with heterogeneous microscopy images
arxiv.org·2d
🧠Machine Learning
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Joint 2D-3D-Semantic Data for Indoor Scene Understanding
dev.to·5h·
Discuss: DEV
🌐Archive Topology
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Build & Train a Neural Network in Python Using TensorFlow, Keras & Scikit-Learn
statisticsglobe.com·3d
🧠Machine Learning
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$\text{H}^2$em: Learning Hierarchical Hyperbolic Embeddings for Compositional Zero-Shot Learning
arxiv.org·3d
🌀Hyperbolic Geometry
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