Rohan Arora
Computer Vision and Pattern Recognition · 2020
A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 21 citations into it
Whom Rohan Arora trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Rohan Arora's perspective
Ordered by how strongly the researchers Rohan Arora trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Caffe: Convolutional Architecture for Fast Feature Embedding
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Going deeper with convolutions
- Learning Multiple Layers of Features from Tiny Images
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)