Rajesh Jayaram
Artificial Intelligence · 2018
A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 32 citations into it; #22,242 of 35,345 by trust here, #29,412 by citations
- Optimization & Training — 15 citations into it
- Computational Mechanics — 13 citations into it
- Statistical Learning Theory — 12 citations into it
- Computer Vision and Pattern Recognition — 10 citations into it
- Statistics and Probability — 10 citations into it
- Model Architectures — 6 citations into it
- Statistical and Nonlinear Physics — 6 citations into it
Whom Rajesh Jayaram trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- E.J. Candes
- Leslie G. Valiant
- Yuanzhi Li
- Roman Vershynin
- Yaniv Plan
- Majid Janzamin
- Zeyuan Allen-Zhu
- Rong Ge
- Geoffrey E. Hinton
- Raman Arora
Who trusts Rajesh Jayaram overall
Papers from Rajesh Jayaram's perspective
Ordered by how strongly the researchers Rajesh Jayaram 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Learning Two Layer Rectified Neural Networks in Polynomial Time (2018) — 71 citations