Priya Tripathi
Artificial Intelligence · 2018
A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 16 citations into it
- Computer Vision and Pattern Recognition — 15 citations into it
Whom Priya Tripathi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Pierre Baldi
- Christian Szegedy
- Karen Simonyan
- Kaiming He
- Geoffrey E. Hinton
- Andrew Zisserman
- Ross B. Girshick
- Alex Krizhevsky
- X. Zhang
- Yoshua Bengio
Papers from Priya Tripathi's perspective
Ordered by how strongly the researchers Priya Tripathi trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database