Ameya D. Patil
2019
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Ameya D. Patil trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Ameya D. Patil's perspective
Ordered by how strongly the researchers Ameya D. Patil trusts endorse each paper. Same corpus, a different order for every researcher.
- Distilling the Knowledge in a Neural Network (arXiv.org)
- Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium
- Gradient-based learning applied to document recognition
- Wasserstein GAN
- Learning Multiple Layers of Features from Tiny Images
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
Their papers
- Compressing GANs using Knowledge Distillation (2019) — 87 citations