Aditya Sharma

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it
• Optimization & Training — 23 citations into it
• Computer Networks and Communications — 13 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it
• Computational Mechanics — 6 citations into it

Whom Aditya Sharma trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Sebastian U. Stich
2. Chih-Jen Lin
3. Angelia Nedić
4. Kaiming He

Papers from Aditya Sharma's perspective

Ordered by how strongly the researchers Aditya Sharma trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Gradient-based learning applied to document recognition
4. Learning Multiple Layers of Features from Tiny Images
5. Long Short-Term Memory
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour
8. LIBSVM: A library for support vector machines
9. ImageNet: A large-scale hierarchical image database
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• PopSGD: Decentralized Stochastic Gradient Descent in the Population Model (2019) — 3 citations