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| Non-vacuous Generalization Bounds at the ImageNet Scale: a PAC-Bayesian Compression Approach. | 0 | 0.34 | 2019 |
| Approximate Leave-One-Out for High-Dimensional Non-Differentiable Learning Problems. | 0 | 0.34 | 2018 |
| Compressibility and Generalization in Large-Scale Deep Learning. | 7 | 0.46 | 2018 |
