Sanguthevar Rajasekaran
Artificial Intelligence · 2013–2019
A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 29 citations into it
- Computer Vision and Pattern Recognition — 27 citations into it
- Efficiency & Compression — 21 citations into it
Whom Sanguthevar Rajasekaran trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Sanguthevar Rajasekaran's perspective
Ordered by how strongly the researchers Sanguthevar Rajasekaran 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)
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Long Short-Term Memory
- Going deeper with convolutions
Their papers
- Accelerating materials property predictions using machine learning (2013) — 761 citations
- AutoPrune: Automatic Network Pruning by Regularizing Auxiliary Parameters (2019) — 163 citations