What Generative Adversarial Networks Are Capable of? — A Python Project on MNIST Dataset.
pub.towardsai.net·2d
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Why AI availability is the new battleground for brands
searchengineland.com·1d
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This Tool Makes Me 10x More Powerful (And You Can Install It in One Click)
pub.towardsai.net·1d
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Dynamic Sparsity: Challenging Common Sparsity Assumptions for Learning World Models in Robotic Reinforcement Learning Benchmarks
arxiv.org·1d
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Selective Diabetic Retinopathy Screening with Accuracy-Weighted Deep Ensembles and Entropy-Guided Abstention
arxiv.org·2d
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TiDAR: Think in Diffusion, Talk in Autoregression
arxiv.org·6h
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3D Gaussian Point Encoders
arxiv.org·3d
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OTSNet: A Neurocognitive-Inspired Observation-Thinking-Spelling Pipeline for Scene Text Recognition
arxiv.org·1d
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DiA-gnostic VLVAE: Disentangled Alignment-Constrained Vision Language Variational AutoEncoder for Robust Radiology Reporting with Missing Modalities
arxiv.org·2d
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Expand Your SCOPE: Semantic Cognition over Potential-Based Exploration for Embodied Visual Navigation
arxiv.org·6h
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The speed of innovation: Leading in a brave new era of AI-powered creation
nordot.app·20h
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Pruning as Regularization: Sensitivity-Aware One-Shot Pruning in ASR
arxiv.org·1d
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