Epidemiology of Large Language Models: A Benchmark for Observational Distribution Knowledge
arxiv.org·8h
📊Data Science
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An introduction to program synthesis (Part II) - Automatically generating features for machine learning
🔬Julia Language
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Emulating human-like adaptive vision for efficient and flexible machine visual perception
nature.com·13h
👁️Computer Vision
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Why Nonparametric Models Deserve a Second Look
towardsdatascience.com·18h
📈Optimization
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Continuous Autoregressive Language Models
🧠Deep Learning
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Tuesday 18 November 2025
informatics.ed.ac.uk·52m
📡Signal Processing
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Alleviating Hyperparameter-Tuning Burden in SVM Classifiers for Pulmonary Nodules Diagnosis with Multi-Task Bayesian Optimization
arxiv.org·8h
👁️Computer Vision
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Emotion Detection From Social Media Posts
arxiv.org·8h
📡Signal Processing
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Regularization Through Reasoning: Systematic Improvements in Language Model Classification via Explanation-Enhanced Fine-Tuning
arxiv.org·1d
🧠Deep Learning
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Stop vibe coding your unit tests
🔬Julia Language
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LDBT instead of DBTL: combining machine learning and rapid cell-free testing
nature.com·22h
🧠Deep Learning
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<p>**Abstract:** Current microplate reader-based cell culture phenotypic analysis relies heavily on manual interpretation and suffers from inconsistencies and l...
freederia.com·1h
👁️Computer Vision
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Topographical sparse mapping: A training framework for deep learning models
🧠Deep Learning
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SORTeD Rashomon Sets of Sparse Decision Trees: Anytime Enumeration
arxiv.org·8h
📈Optimization
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Probabilistic Robustness for Free? Revisiting Training via a Benchmark
arxiv.org·2d
🧠Deep Learning
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AI Papers to Read in 2025
towardsdatascience.com·15h
🤖AI
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