Charting the future of AI, from safer answers to faster thinking
news.mit.edu·14h
🤖AI
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<p>**Abstract:** This paper proposes a novel framework for patient stratification in early-stage Alzheimer&#8217;s disease (ASD) utilizing hyperdimensional proc...
freederia.com·24m
🧮Algorithms
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Fair and Explainable Credit-Scoring under Concept Drift: Adaptive Explanation Frameworks for Evolving Populations
arxiv.org·7h
🧮Algorithms
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A Guide to the Best Java Machine Learning Libraries
dev.to·1d·
Discuss: DEV
🧮Algorithms
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Normalized Entropy or Apply Rate? Evaluation Metrics for Online Modeling Experiments
engineering.indeedblog.com·3h
🧮Algorithms
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Reasoning with Sampling: Your Base Model Is Smarter Than You Think
aakaran.github.io·18h·
Discuss: Hacker News
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Why Nonparametric Models Deserve a Second Look
towardsdatascience.com·1d
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Deep Learning Approach for Clinical Risk Identification Using Transformer Modeling of Heterogeneous EHR Data
arxiv.org·7h
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Self-Attention: The Simple Mechanism That Made ChatGPT Possible
pub.towardsai.net·7h
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Modern Optimizers – An Alchemist's Notes on Deep Learning
notes.kvfrans.com·6h·
Discuss: Hacker News
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Alleviating Hyperparameter-Tuning Burden in SVM Classifiers for Pulmonary Nodules Diagnosis with Multi-Task Bayesian Optimization
arxiv.org·1d
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Using the probabilistic method to bound the performance of toy transformers by Alex Gibson
greaterwrong.com·12h
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Continuous Autoregressive Language Models
shaochenze.github.io·2d·
Discuss: Hacker News
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SORTeD Rashomon Sets of Sparse Decision Trees: Anytime Enumeration
arxiv.org·1d
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Epidemiology of Large Language Models: A Benchmark for Observational Distribution Knowledge
arxiv.org·1d
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Minimizing Loss ≠ Maximizing Intelligence
lesswrong.com·7h
🤖AI
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Crash Course to Crack Machine Learning Interview – Part 2: Linear Regression
analyticsvidhya.com·37m
👩‍💻Programming
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Emulating human-like adaptive vision for efficient and flexible machine visual perception
nature.com·1d
🤖AI
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REMIND: Input Loss Landscapes Reveal Residual Memorization in Post-Unlearning LLMs
arxiv.org·7h
🧮Algorithms
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Noise Injection: Improving Out-of-Distribution Generalization for Limited Size Datasets
arxiv.org·7h
🧮Algorithms
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