How Transformer Models Detect Anomalies in System Logs
hackernoon.com·6h
🔄Transformers
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Frozen in Place
✅Productivity
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Active transfer learning for structural health monitoring
arxiv.org·19h
🤖AI
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Phased DMD: Few-step Distribution Matching Distillation via Score Matching within Subintervals
arxiv.org·19h
📡Information Theory
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LikePhys: Evaluating Intuitive Physics Understanding in Video Diffusion Modelsvia Likelihood Preference
🎲Bayesian Cognition
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Realistic pedestrian-driver interaction modelling using multi-agent RL with human perceptual-motor constraints
arxiv.org·19h
🎲Bayesian Cognition
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I just trained a physics-based earthquake forecasting model on a $1000 GPU
🎲Bayesian Cognition
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Multi-Modal Feature Fusion for Spatial Morphology Analysis of Traditional Villages via Hierarchical Graph Neural Networks
arxiv.org·19h
🔄Transformers
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LinEAS: End-to-end Learning of Activation Steering with a Distributional Loss
machinelearning.apple.com·1d
🎨Computational Creativity
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Introducing Agent-o-rama: build, trace, evaluate, and monitor stateful LLM agents in Java or Clojure
🤖AI
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3 Questions: How AI is helping us monitor and support vulnerable ecosystems
news.mit.edu·3h
🤖AI
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[D][P] PKBoost v2 is out! An entropy-guided boosting library with a focus on drift adaptation and multiclass/regression support.
📝NLP
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From Classical Models to AI: Forecasting Humidity for Energy and Water Efficiency in Data Centers
towardsdatascience.com·1d
🔧Workflow Automation
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The Year of a Thousand Rooms
🎨Computational Creativity
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How animals really get their 'perfectly imperfect' spots and stripes
newatlas.com·45m
🎨Computational Creativity
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