| NeurIPS 2019 Disentanglement Challenge: Improved Disentanglement through Learned Aggregation of Convolutional Feature Maps | Feb 27, 2020 | DisentanglementInductive Bias | CodeCode Available | 0 |
| Embedding Hard Physical Constraints in Convolutional Neural Networks for 3D Turbulence | Feb 26, 2020 | Deep LearningDimensionality Reduction | —Unverified | 0 |
| Graph Convolutional Gaussian Processes For Link Prediction | Feb 11, 2020 | Gaussian ProcessesGraph Neural Network | —Unverified | 0 |
| Local Nonparametric Meta-Learning | Feb 9, 2020 | Inductive BiasMeta-Learning | CodeCode Available | 0 |
| Revisiting Spatial Invariance with Low-Rank Local Connectivity | Feb 7, 2020 | Inductive Bias | —Unverified | 0 |
| Conditional Deep Gaussian Processes: multi-fidelity kernel learning | Feb 7, 2020 | Few-Shot LearningGaussian Processes | CodeCode Available | 0 |
| Pseudo-Bidirectional Decoding for Local Sequence Transduction | Jan 31, 2020 | DecoderGrammatical Error Correction | —Unverified | 0 |
| On Learning Vehicle Detection in Satellite Video | Jan 29, 2020 | Inductive BiasObject | —Unverified | 0 |
| Does syntax need to grow on trees? Sources of hierarchical inductive bias in sequence-to-sequence networks | Jan 10, 2020 | Inductive Bias | —Unverified | 0 |
| Multitask learning over graphs: An Approach for Distributed, Streaming Machine Learning | Jan 7, 2020 | BIG-bench Machine LearningInductive Bias | —Unverified | 0 |
