Show HN: Hot or Slop – Visual Turing test on how well humans detect AI images
📊Learned Metrics
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New Dataset PerSense-D Enables Model-Agnostic Dense Object Segmentation
hackernoon.com·3d
📊Learned Metrics
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Predictive Maintenance Optimization via Bayesian Federated Learning of Degradation Trajectories
🧮Kolmogorov Bounds
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Decoding non-invasive brain activity with novel deep-learning approaches
arxiv.org·1d
🧠Neural Codecs
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Model Inversion with Layer-Specific Modeling and Alignment for Data-Free Continual Learning
arxiv.org·22h
💻Local LLMs
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Wasserstein Regression as a Variational Approximation of Probabilistic Trajectories through the Bernstein Basis
arxiv.org·22h
🌀Differential Geometry
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Information-Theoretic Discrete Diffusion
arxiv.org·2d
📡Information theory
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Distributional Multi-objective Black-box Optimization for Diffusion-model Inference-time Multi-Target Generation
arxiv.org·22h
🔍Vector Forensics
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Enhancing ECG Classification Robustness with Lightweight Unsupervised Anomaly Detection Filters
arxiv.org·22h
🎛️Feed Filtering
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How Data Mixing Shapes In-Context Learning: Asymptotic Equivalence for Transformers with MLPs
arxiv.org·1d
🧮Kolmogorov Bounds
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MV-MLM: Bridging Multi-View Mammography and Language for Breast Cancer Diagnosis and Risk Prediction
arxiv.org·22h
🎵Audio ML
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Machine Learning based Analysis for Radiomics Features Robustness in Real-World Deployment Scenarios
arxiv.org·1d
🔍Vector Forensics
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Machine Learning and CPU (Central Processing Unit) Scheduling Co-Optimization over a Network of Computing Centers
arxiv.org·1d
⚡Parallel Computing
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MLPrE -- A tool for preprocessing and exploratory data analysis prior to machine learning model construction
arxiv.org·1d
🎵Audio ML
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Developing a Multi-task Ensemble Geometric Deep Network for Supply Chain Sustainability and Risk Management
arxiv.org·22h
🌀Riemannian Computing
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Scalable Knowledge Graph Embedding via Adaptive Dimensionality Reduction & Multi-Objective Optimization
🕸️Graph Embeddings
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Linear Operator Approximate Message Passing (OpAMP)
arxiv.org·1d
🧮Kolmogorov Complexity
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