Taban Eslami
Front. Neuroinform. · 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 Taban Eslami trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- D. Selkoe
- Luis Perez
- Sebastien C. Wong
- Nitesh V. Chawla
- R. Craddock
- Andreas Eitel
- Andrej Karpathy
- Alexandre Abraham
- Sarah Parisot
- Jason Wang
Papers from Taban Eslami's perspective
Ordered by how strongly the researchers Taban Eslami trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Going deeper with convolutions
- Large-Scale Video Classification with Convolutional Neural Networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- SMOTE: Synthetic Minority Over-sampling Technique
- Learning Multiple Layers of Features from Tiny Images