Why You Should Break Your ML Pipelines on Purpose
thenewstack.io·8h
🤖AI
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[D] Information geometry, anyone?
🤖AI
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Diagnosing and Breaking Amplitude Suppression in Seismic Phase Picking Through Adversarial Shape Learning
arxiv.org·1d
🤖AI
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Fuzzy Neural Network Performance and Interpretability of Quantum Wavefunction Probability Predictions
arxiv.org·2d
🤖AI
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Anatomy-VLM: A Fine-grained Vision-Language Model for Medical Interpretation
arxiv.org·23h
🤖AI
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Solar and wind power plant site selection in China: Machine learning-based regional and temporal probability
sciencedirect.com·1d
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LLMs Do Not See Age: Assessing Demographic Bias in Automated Systematic Review Synthesis
arxiv.org·1d
📚Education
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Relation as a Prior: A Novel Paradigm for LLM-based Document-level Relation Extraction
arxiv.org·23h
🤖AI
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3dSAGER: Geospatial Entity Resolution over 3D Objects (Technical Report)
arxiv.org·1d
🤖AI
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Emotion Detection From Social Media Posts
arxiv.org·6d
🤖AI
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From Noise to Latent: Generating Gaussian Latents for INR-Based Image Compression
arxiv.org·23h
🤖AI
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RESTL: Reinforcement Learning Guided by Multi-Aspect Rewards for Signal Temporal Logic Transformation
arxiv.org·23h
🤖AI
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DARN: Dynamic Adaptive Regularization Networks for Efficient and Robust Foundation Model Adaptation
arxiv.org·2d
🤖AI
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FoodRL: A Reinforcement Learning Ensembling Framework For In-Kind Food Donation Forecasting
arxiv.org·2d
🤖AI
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3D-ANC: Adaptive Neural Collapse for Robust 3D Point Cloud Recognition
arxiv.org·1d
🤖AI
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DiagnoLLM: A Hybrid Bayesian Neural Language Framework for Interpretable Disease Diagnosis
arxiv.org·1d
🤖AI
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