Disciplined Biconvex Programming
arxiv.org·2d
📐Linear Algebra
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Why Nonparametric Models Deserve a Second Look
towardsdatascience.com·18h
🤖Machine Learning
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Algorithmic Alchemy: Transmuting Dynamic Programming with Gradients by Arvind Sundararajan
dev.to·1d·
Discuss: DEV
📐Linear Algebra
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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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Topographical sparse mapping: A training framework for deep learning models
sciencedirect.com·1d·
Discuss: Hacker News
🧠Deep Learning
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How Small Teams Can Scale Global Content Without Hiring a Translation Agency
hackmd.io·2h·
Discuss: DEV
📡Signal Processing
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Online Learning to Rank under Corruption: A Robust Cascading Bandits Approach
arxiv.org·8h
🤖Machine Learning
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Generalizing Test-Time Compute-Optimal Scaling as an Optimizable Graph
huggingface.co·1d·
Discuss: Hacker News
🧠Deep Learning
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The ROI Multiplier: How Minimizing Robots Maximizes Throughput and Savings
supplychainbrain.com·8h
👁️Computer Vision
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MichaelAI vs. CogniFlow: A Developer's No-BS Guide to Enterprise AI Platforms
getmichaelai.com·1h·
Discuss: DEV
🤖AI
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An introduction to program synthesis (Part II) - Automatically generating features for machine learning
mchav.github.io·1d·
Discuss: r/programming
🤖Machine Learning
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Neural Green's Functions
arxiv.org·1d
🧠Deep Learning
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Optimal Boundary Control of Diffusion on Graphs via Linear Programming
arxiv.org·8h
📐Linear Algebra
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Crushing ML Latency: The (Un)Official Best Practices for Systems Optimisation
pub.towardsai.net·1d
🤖Machine Learning
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Continuous Autoregressive Language Models
shaochenze.github.io·1d·
Discuss: Hacker News
🤖Machine Learning
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Mathematical exploration and discovery at scale
terrytao.wordpress.com·9h·
Discuss: Hacker News
🤖AI
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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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A Guide to the Best Java Machine Learning Libraries
dev.to·2h·
Discuss: DEV
🤖Machine Learning
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Adaptive Beamforming Optimization via Decentralized Reinforcement Learning in Millimeter Wave Networks
dev.to·17h·
Discuss: DEV
📡Signal Processing
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<p>**Abstract:** Precise control of lateral root (LR) emergence is critical for optimizing crop yield and nutrient uptake. Current predictive models often lack ...
freederia.com·1h
🤖Machine Learning
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