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Jonathan Gordon

University of Cambridge

21

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602

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Meta-Learning Stationary Stochastic Process Prediction with Convolutional Neural Processes

2020 NeurIPS | Neural Information Processing Systems
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Permutation Equivariant Models for Compositional Generalization in Language

2020 ICLR | International Conference on Learning Representations
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Predictive Complexity Priors

2020 AISTATS | International Conference on Artificial Intelligence and Statistics
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TaskNorm: Rethinking Batch Normalization for Meta-Learning

2020 ICML | International Conference on Machine Learning
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Meta-Learning Stationary Stochastic Process Prediction with Convolutional Neural Processes

2020 arXiv: Machine Learning
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Meta-Learning Probabilistic Inference for Prediction

2019 ICLR | International Conference on Learning Representations
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Bayesian Batch Active Learning as Sparse Subset Approximation

2019 arXiv: Machine Learning
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Bayesian Batch Active Learning as Sparse Subset Approximation

2019 | Annual Conference on Neural Information Processing Systems
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Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes

2019 arXiv: Machine Learning
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Convolutional Conditional Neural Processes.

2019 arXiv: Machine Learning
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Citations (21)