Self-Harmony: Learning to Harmonize Self-Supervision and Self-Play in Test-Time Reinforcement Learning
arxiv.org·2h
🧠OpenAI
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Writing an LLM from scratch, part 27 – what's left, and what's next?
gilesthomas.com·6h·
Discuss: Hacker News
🧠OpenAI
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Connectivity Structure and Dynamics of Nonlinear Recurrent Neural Networks
journals.aps.org·7h
🔍Grad-CAM
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Anatomically Constrained Transformers for Echocardiogram Analysis
arxiv.org·2h
👁️Vision Transformers
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The middle brother in classifier development: What is RandAugment?
openaccess.thecvf.com·1d·
Discuss: DEV
🧠OpenAI
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From hours to seconds: AI tools to detect animal calls
seangoedecke.com·2d·
Discuss: Hacker News
🧠OpenAI
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Accelerated Dielectric Barrier Coating Optimization via Multi-Modal Data Fusion & Bayesian Hyperparameter Tuning
dev.to·12h·
Discuss: DEV
📊Statistical Modeling
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Don’t Just Normalize, Batch Normalize! A Guide to Stable Neural Networks
pub.towardsai.net·1d
👁️Vision Transformers
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Spatial Secrets: Unleashing Language Models with Unexpected Masking by Arvind Sundararajan
dev.to·2h·
Discuss: DEV
🧠OpenAI
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The Curvature Rate {\lambda}: A Scalar Measure of Input-Space Sharpness in Neural Networks
arxiv.org·2h
👁️Vision Transformers
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Multi-refined Feature Enhanced Sentiment Analysis Using Contextual Instruction
arxiv.org·2h
🧠OpenAI
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Weakly Supervised Concept Learning with Class-Level Priors for Interpretable Medical Diagnosis
arxiv.org·2h
🔍Grad-CAM
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My ML Learning Journey: From Confusion to Building a Working Model
kaggle.com·4d·
Discuss: DEV
🔬scikit-learn
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Automated Defect Prediction via Cross-Entropy Regularized Graph Neural Networks for Microservice Architectures
dev.to·6h·
Discuss: DEV
🧠OpenAI
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Feature Importance Guided Random Forest Learning with Simulated Annealing Based Hyperparameter Tuning
arxiv.org·2h
🔬scikit-learn
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Interpretable Machine Learning for Reservoir Water Temperatures in the U.S. Red River Basin of the South
arxiv.org·2h
🧠OpenAI
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A Comparative Analysis of LLM Adaptation: SFT, LoRA, and ICL in Data-Scarce Scenarios
arxiv.org·2h
🧠OpenAI
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Linear Differential Vision Transformer: Learning Visual Contrasts via Pairwise Differentials
arxiv.org·2h
👁️Vision Transformers
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