Rahul Agrawal
Computer Vision and Pattern Recognition · 2013
A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 7 citations into it
- Information Systems — 6 citations into it; #2,953 of 8,771 by trust here, #3,876 by citations
Whom Rahul Agrawal trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Muthu Dayalan
- Samy Bengio
- Thomas Blumensath
- Jason Aaron Edward Weston
- B. Taskar
- Bharath Hariharan
- Wen-tau Yih
- Ioannis Tsochantaridis
- Thorsten Joachims
- Geoffrey E. Hinton
Who trusts Rahul Agrawal overall
- Yashoteja Prabhu
- David Belanger
- Partha P. Talukdar
- Tomas Pranckevičius
- Wei-Cheng Chang
- Prateek Jain
- Manik Varma
- Weiwei Liu
- Hsiang-Fu Yu
- Kush Bhatia
Papers from Rahul Agrawal's perspective
Ordered by how strongly the researchers Rahul Agrawal trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge