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·22h·
Discuss: Hacker News
🧠Machine Learning
LLMs - Embeddings 01
dev.to·2d·
Discuss: DEV
🧮Vector Embeddings
(BT) Diversity from (LC) Diversity
golem.ph.utexas.edu·22h
🧮Kolmogorov Complexity
On the (In)Significance of Feature Selection in High-Dimensional Datasets
arxiv.org·11h
🧠Machine Learning
What I Learned About Machine Learning – Don’t Use It!
bobbydurrettdba.com·16h
👁️System Observability
Stellar Flare Detection and Prediction Using Clustering and Machine Learning
towardsdatascience.com·16h
🧮Kolmogorov Bounds
NeuralMorse – Reinventing Morse Code with Neural Networks
masatohagiwara.net·21h·
Discuss: Hacker News
📝Text Compression
Elucidating the Role of Feature Normalization in IJEPA
arxiv.org·11h
📊Learned Metrics
DD-DeepONet: Domain decomposition and DeepONet for solving partial differential equations in three application scenarios
arxiv.org·11h
🌐Computational Topology
A Novel cVAE-Augmented Deep Learning Framework for Pan-Cancer RNA-Seq Classification
arxiv.org·11h
🧠Learned Codecs
Topolow: Force-Directed Euclidean Embedding of Dissimilarity Data with Robustness Against Non-Metricity and Sparsity
arxiv.org·1d
🌐Computational Topology
🎭 Compressing Human Faces with VAE vs VQ-VAE — A Deep Dive into Autoencoder Design
dev.to·22h·
Discuss: DEV
📊Quantization
Low-rankness and Smoothness Meet Subspace: A Unified Tensor Regularization for Hyperspectral Image Super-resolution
arxiv.org·11h
🌀Riemannian Computing
AVPDN: Learning Motion-Robust and Scale-Adaptive Representations for Video-Based Polyp Detection
arxiv.org·11h
🧠Machine Learning
Efficient Multi-Slide Visual-Language Feature Fusion for Placental Disease Classification
arxiv.org·11h
🧠Machine Learning
Estimation of Hemodynamic Parameters via Physics Informed Neural Networks including Hematocrit Dependent Rheology
arxiv.org·11h
🌀Riemannian Computing
The Core Idea: Finding the Best Separator
dev.to·2d·
Discuss: DEV
🧠Machine Learning
Understanding the Embedding Models on Hyper-relational Knowledge Graph
arxiv.org·11h
🕸️Graph Embeddings
Kernel-Based Sparse Additive Nonlinear Model Structure Detection through a Linearization Approach
arxiv.org·1d
🧠Machine Learning