Improving Deep Learning with Lorentzian Geometry: Results from LHIER Experiments Post date October 28, 2025 Post author By Hyperbole Post categories In computer-vision-architectures, curvature-learning, hyperbolic-deep-learning, hyperbolic-neural-networks, lorentz-manifold, lorentz-space-neural-networks, metric-learning, riemannian-optimization
Understanding Training Stability in Hyperbolic Neural Networks Post date October 28, 2025 Post author By Hyperbole Post categories In adamw-optimizer, computer-vision-architectures, curvature-learning, gradient-projection, hyperbolic-deep-learning, lorentz-manifold, metric-learning, riemannian-optimization
The Geometric Revolution That’s Making Computer Vision More Efficient Post date October 28, 2025 Post author By Hyperbole Post categories In computer-vision-architectures, curvature-learning, hyperbolic-deep-learning, hyperbolic-neural-networks, lorentz-manifold, lorentz-space-neural-networks, metric-learning, riemannian-optimization
Boost Few-Shot Instance Accuracy 12% Without Fine-Tuning Post date September 9, 2025 Post author By Instancing Post categories In edge-vision, fewshot-detection, instance-recognition, metric-learning, object-conditioned, personalized-ai, prototype-learning, yolov8
Boost Few-Shot Instance Accuracy 12% Without Fine-Tuning Post date September 9, 2025 Post author By Instancing Post categories In edge-vision, fewshot-detection, instance-recognition, metric-learning, object-conditioned, personalized-ai, prototype-learning, yolov8
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