Papers tagged “foundations”
16 papers · All papers →
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Segment Anything
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Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets
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Efficiently Modeling Long Sequences with Structured State Spaces
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NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
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The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
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Semi-Supervised Classification with Graph Convolutional Networks
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Deep Residual Learning for Image Recognition
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Layer Normalization
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Neural Machine Translation of Rare Words with Subword Units
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Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
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Distilling the Knowledge in a Neural Network
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Representation Learning: A Review and New Perspectives
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A Fast Learning Algorithm for Deep Belief Nets
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Gradient-based learning applied to document recognition
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Learning Representations by Back-propagating Errors
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The Perceptron: A Probabilistic Model for Information Storage and Organization in the Brain