Topographical sparse mapping: A training framework for deep learning models
👁️Computer Vision
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Neurosymbolic Deep Learning Semantics
arxiv.org·1h
💬NLP
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Transformers Architecture: How Google’s ‘Attention Is All You Need’ Changed Deep Learning Forever
pub.towardsai.net·1h
💬NLP
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Continuous Autoregressive Language Models
📱Edge AI
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Linear Differential Vision Transformer: Learning Visual Contrasts via Pairwise Differentials
arxiv.org·1d
👁️Computer Vision
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Connectivity Structure and Dynamics of Nonlinear Recurrent Neural Networks
journals.aps.org·1d
🧠AI
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Neural Green's Functions
arxiv.org·1h
📱Edge AI
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Training Convolutional Neural Networks with the Forward-Forward algorithm
arxiv.org·1h
👁️Computer Vision
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Beyond Standard LLMs
💬NLP
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Forecasting Future Anatomies: Longitudianl Brain Mri-to-Mri Prediction
arxiv.org·1h
👁️Computer Vision
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Automated Figure-Text Alignment & Knowledge Extraction for Scientific Literature
📊Embeddings
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Bio-Inspired Neuron Synapse Optimization for Adaptive Learning and Smart Decision-Making
arxiv.org·1d
🧠AI
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LinEAS: End-to-end Learning of Activation Steering with a Distributional Loss
machinelearning.apple.com·2d
📱Edge AI
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Redundancy Maximization as a Principle of Associative Memory Learning
arxiv.org·1h
🧠AI
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Collaborative Attention and Consistent-Guided Fusion of MRI and PET for Alzheimer's Disease Diagnosis
arxiv.org·1h
👁️Computer Vision
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