Old Stats, New Tricks: How PCIC Builds on Decades of Recommendation Research
hackernoon.com·19h
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Understanding the Core Concepts: From Data Mountains to Informative Peaks
dev.to·13h·
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Grasp-HGN: Grasping the Unexpected
arxiv.org·10h
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Automated Validation Pipeline for High-Dimensional Scientific Data Analysis
dev.to·9h·
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Intrinsic Explainability of Multimodal Learning for Crop Yield Prediction
arxiv.org·10h
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Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens – 2508.01191v2.pdf
jmason.ie·19m
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Exploiting Krylov Subspace Methods for Real-Time Sparse Linear Systems in High-Dimensional Signal Processing
dev.to·20h·
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Information Bottleneck-based Causal Attention for Multi-label Medical Image Recognition
arxiv.org·10h
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Fine-Tuning GPT-4: Customizing LLMs To Fit Our Unique Need
github.com·5h·
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Anatomy of a Machine Learning Ecosystem: 2 Million Models on Hugging Face
arxiv.org·10h
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🧬 Predicting Cancer Cells with Machine Learning: My Internship Project
dev.to·22h·
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When and how can inexact generative models still sample from the data manifold?
arxiv.org·10h
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Selective Contrastive Learning for Weakly Supervised Affordance Grounding
arxiv.org·10h
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How to Build AI-Powered .NET Apps with ML.NET and C#: A Step-by-Step Guide
dev.to·1d·
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Automated Asphalt Core Extraction Anomaly Detection via Spectral Decomposition & Machine Learning
dev.to·23h·
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BiXSE: Improving Dense Retrieval via Probabilistic Graded Relevance Distillation
arxiv.org·10h
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When Is Prior Knowledge Helpful? Exploring the Evaluation and Selection of Unsupervised Pretext Tasks from a Neuro-Symbolic Perspective
arxiv.org·10h
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Scaling Interpretability
anthropic.com·1d·
Discuss: Hacker News
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A Physics-Driven Neural Network with Parameter Embedding for Generating Quantitative MR Maps from Weighted Images
arxiv.org·10h
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Neural Bridge Processes
arxiv.org·10h
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