Predictive Complexity Priors | 0 | 0.34 | 2021 |
Convolutional Conditional Neural Processes. | 0 | 0.34 | 2020 |
TaskNorm: Rethinking Batch Normalization for Meta-Learning | 0 | 0.34 | 2020 |
Permutation Equivariant Models for Compositional Generalization in Language. | 0 | 0.34 | 2020 |
Permutation Equivariant Models for Compositional Generalization in Language | 0 | 0.34 | 2020 |
Meta-Learning Stationary Stochastic Process Prediction with Convolutional Neural Processes | 0 | 0.34 | 2020 |
Combining Deep Generative and Discriminative Models for Bayesian Semi-Supervised Learning | 3 | 0.43 | 2020 |
Convolutional Conditional Neural Processes | 0 | 0.34 | 2020 |
Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes. | 1 | 0.35 | 2019 |
Meta-Learning Probabilistic Inference for Prediction | 2 | 0.36 | 2019 |
Bayesian Batch Active Learning as Sparse Subset Approximation | 0 | 0.34 | 2019 |
Meta-Learning Probabilistic Inference for Prediction. | 0 | 0.34 | 2019 |
Probabilistic Neural Architecture Search. | 4 | 0.38 | 2019 |