| Does Knowledge Distillation Really Work? | 0 | 0.34 | 2021 |
| Neural Tangents - Fast and Easy Infinite Neural Networks in Python. | 0 | 0.34 | 2020 |
| Neural Tangents: Fast and Easy Infinite Neural Networks in Python. | 0 | 0.34 | 2020 |
| Ceb Improves Model Robustness | 0 | 0.34 | 2020 |
| On the Use of ArXiv as a Dataset | 0 | 0.34 | 2019 |
| Information in Infinite Ensembles of Infinitely-Wide Neural Networks | 0 | 0.34 | 2019 |
| Variational Predictive Information Bottleneck | 0 | 0.34 | 2019 |
| On Variational Bounds of Mutual Information. | 3 | 0.37 | 2019 |
| Dueling Decoders: Regularizing Variational Autoencoder Latent Spaces. | 0 | 0.34 | 2019 |
| Watch Your Step - Learning Node Embeddings via Graph Attention. | 5 | 0.40 | 2018 |
| TherML: Thermodynamics of Machine Learning. | 0 | 0.34 | 2018 |
| Fixing a Broken ELBO. | 20 | 0.69 | 2018 |
| Uncertainty in the Variational Information Bottleneck. | 9 | 0.50 | 2018 |
| GILBO: One Metric to Measure Them All. | 0 | 0.34 | 2018 |
| β-VAEs can retain label information even at high compression. | 0 | 0.34 | 2018 |
| GILBO: One Metric to Measure Them All. | 1 | 0.35 | 2018 |
| An Information-Theoretic Analysis of Deep Latent-Variable Models. | 1 | 0.40 | 2017 |
| Motion Prediction Under Multimodality with Conditional Stochastic Networks. | 0 | 0.34 | 2017 |
| Deep Variational Information Bottleneck. | 0 | 0.34 | 2017 |
| Watch Your Step: Learning Graph Embeddings Through Attention. | 6 | 0.44 | 2017 |
| Jeffrey's prior sampling of deep sigmoidal networks. | 0 | 0.34 | 2017 |
| Improved generator objectives for GANs. | 1 | 0.37 | 2016 |
| DeepMath - Deep Sequence Models for Premise Selection. | 0 | 0.34 | 2016 |
| Deep Variational Information Bottleneck. | 20 | 0.58 | 2016 |
| Text Segmentation based on Semantic Word Embeddings. | 4 | 0.42 | 2015 |
| Clustering via Content-Augmented Stochastic Blockmodels | 0 | 0.34 | 2015 |
