How I Won the “Mostly AI” Synthetic Data Challenge
towardsdatascience.com·56m
🌊Streaming Algorithms
Elucidating the Role of Feature Normalization in IJEPA
arxiv.org·22h
📊Learned Metrics
Cross-Entropy. Intuition and Applications
hclimente.eu·1h·
Discuss: Hacker News
📈Entropy Estimation
LLMs - Embeddings 01
dev.to·2d·
Discuss: DEV
🧮Vector Embeddings
What I Learned About Machine Learning – Don’t Use It!
bobbydurrettdba.com·1d
👁️System Observability
(BT) Diversity from (LC) Diversity
golem.ph.utexas.edu·1d
🧮Kolmogorov Complexity
On the (In)Significance of Feature Selection in High-Dimensional Datasets
arxiv.org·22h
🧠Machine Learning
Low-rankness and Smoothness Meet Subspace: A Unified Tensor Regularization for Hyperspectral Image Super-resolution
arxiv.org·22h
🌀Riemannian Computing
Dataset Condensation with Color Compensation
arxiv.org·1d
🌈Color Science
Open Sourced: ML Interview Questions and Job List (Ranked by Comp and Culture)
github.com·1d·
Discuss: Hacker News
🧠Machine Learning
NeuralMorse – Reinventing Morse Code with Neural Networks
masatohagiwara.net·1d·
Discuss: Hacker News
📝Text Compression
A Novel cVAE-Augmented Deep Learning Framework for Pan-Cancer RNA-Seq Classification
arxiv.org·22h
🧠Learned Codecs
Topolow: Force-Directed Euclidean Embedding of Dissimilarity Data with Robustness Against Non-Metricity and Sparsity
arxiv.org·1d
🌐Computational Topology
Automated Mineralogical Classification via Hyperspectral Data Fusion & Bayesian Inference
dev.to·3h·
Discuss: DEV
🏺Computational Archaeology
🎭 Compressing Human Faces with VAE vs VQ-VAE — A Deep Dive into Autoencoder Design
dev.to·1d·
Discuss: DEV
📊Quantization
AVPDN: Learning Motion-Robust and Scale-Adaptive Representations for Video-Based Polyp Detection
arxiv.org·22h
🧠Machine Learning
DD-DeepONet: Domain decomposition and DeepONet for solving partial differential equations in three application scenarios
arxiv.org·22h
🌐Computational Topology
Efficient Multi-Slide Visual-Language Feature Fusion for Placental Disease Classification
arxiv.org·22h
🧠Machine Learning
Machine Learning Fundamentals: model overfitting
dev.to·8h·
Discuss: DEV
🧠Machine Learning
Estimation of Hemodynamic Parameters via Physics Informed Neural Networks including Hematocrit Dependent Rheology
arxiv.org·22h
🌀Riemannian Computing