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๐Ÿง  Machine Learning

Information Theory, Compression Bounds, Feature Learning, Neural Networks

Warming Up for Zeroth-Order Federated Pre-Training with Low Resource Clients
arxiv.orgยท10h
๐Ÿ“ŠQuantization
Integrated Multivariate Segmentation Tree for the Analysis of Heterogeneous Credit Data in Small and Medium-Sized Enterprises
arxiv.orgยท1d
๐Ÿง Learned Indexing
Automated Multi-Modal Genomic Feature Fusion for Personalized Cancer Drug Selection
dev.toยท16hยท
Discuss: DEV
๐Ÿ”Vector Forensics
3 Greedy Algorithms for Decision Trees, Explained with Examples
towardsdatascience.comยท1d
๐ŸŒณHuffman Trees
Fantastic Pretraining Optimizers and Where to Find Them
arxiviq.substack.comยท1dยท
Discuss: Substack
๐Ÿ“ŠQuantization
Unsupervised Identification and Replay-based Detection (UIRD) for New Category Anomaly Detection in ECG Signal
arxiv.orgยท1d
๐ŸŽตAcoustic Fingerprinting
The maths you need to start understanding LLMs
gilesthomas.comยท1dยท
Discuss: Hacker News
๐ŸงฎKolmogorov Complexity
Theory Foundation of Physics-Enhanced Residual Learning
arxiv.orgยท1d
๐Ÿ“ŠQuantization
Unveiling Hidden Geometry: How Problem Shape Impacts AI Solver Performance by Arvind Sundararajan
dev.toยท20hยท
Discuss: DEV
๐ŸŒ€Riemannian Computing
M3Ret: Unleashing Zero-shot Multimodal Medical Image Retrieval via Self-Supervision
arxiv.orgยท1d
๐Ÿ“ŠLearned Metrics
Automated Atomic Layer Deposition (ALD) Parameter Optimization via Bayesian Neural Networks
dev.toยท13hยท
Discuss: DEV
๐Ÿ“ŠQuantization
Hyper-Efficient Approximate Nearest Neighbor Search via Quantized Graph Embeddings
dev.toยท1dยท
Discuss: DEV
๐Ÿ—‚๏ธVector Databases
ACA-Net: Future Graph Learning for Logistical Demand-Supply Forecasting
arxiv.orgยท1d
๐Ÿ“ˆTime Series
Adaptive Heavy-Tailed Stochastic Gradient Descent
arxiv.orgยท3d
๐Ÿ“ŠQuantization
The distribution of calibrated likelihood functions on the probability-likelihood Aitchison simplex
arxiv.orgยท10h
๐ŸŒ€Differential Geometry
REFRAG: Rethinking RAG based Decoding
arxiv.orgยท1d
๐Ÿ“„Text Chunking
A Topology of Cognition
dev.toยท20hยท
Discuss: DEV
๐ŸงฎKolmogorov Complexity
Wild Refitting for Model-Free Excess Risk Evaluation of Opaque ML/AI Models under Bregman Loss
arxiv.orgยท1d
๐Ÿ’ปLocal LLMs
Fast kernel methods: Sobolev, physics-informed, and additive models
arxiv.orgยท10h
๐ŸŒ€Riemannian Computing
Convergence for adaptive resampling of random Fourier features
arxiv.orgยท10h
๐ŸŒ€Riemannian Computing
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