Metis-SPECS: Decoupling Multimodal Learning via Self-distilled Preference-based Cold Start
arxiv.org·16h
🧠Neural Compression
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Show HN: Hot or Slop – Visual Turing test on how well humans detect AI images
🤖AI Paleography
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Unlocking Neural Network Secrets: The Geometric Awakening by Arvind Sundararajan
🌀Differential Geometry
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REVEAL: A large-scale comprehensive image dataset for steganalysis
sciencedirect.com·1d
🕵️Steganographic Archives
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Improving Visual Discriminability of CLIP for Training-Free Open-Vocabulary Semantic Segmentation
arxiv.org·2d
📄Semantic Chunking
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New Dataset PerSense-D Enables Model-Agnostic Dense Object Segmentation
hackernoon.com·3d
🧠Machine Learning
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Scalable Knowledge Graph Embedding via Adaptive Dimensionality Reduction & Multi-Objective Optimization
🕸️Graph Embeddings
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Developing a Multi-task Ensemble Geometric Deep Network for Supply Chain Sustainability and Risk Management
arxiv.org·16h
🌀Riemannian Computing
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Geometric Nets: Unleashing the Power of Shape in AI by Arvind Sundararajan
🌀Differential Geometry
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Contribution-Guided Asymmetric Learning for Robust Multimodal Fusion under Imbalance and Noise
arxiv.org·16h
📊Rate-Distortion Theory
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From Memorization to Reasoning in the Spectrum of Loss Curvature
arxiv.org·2d
🧠Intelligence Compression
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Temporal Prompting Matters: Rethinking Referring Video Object Segmentation
👁️Perceptual Hashing
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Diffusion-Driven Progressive Target Manipulation for Source-Free Domain Adaptation
arxiv.org·1d
🔍Vector Forensics
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Thought Engineering
🧠Intelligence Compression
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Empirical Bayesian Multi-Bandit Learning
arxiv.org·16h
🧮Kolmogorov Bounds
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