Prathamesh Mayekar

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 16 citations into it
• Computer Networks and Communications — 5 citations into it

Whom Prathamesh Mayekar trusts overall

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

1. Jayadev Acharya
2. Vitaly Feldman
3. Clément Louis Canonne
4. Crist'obal Guzm'an
5. V. Gandikota
6. John C. Duchi
7. Sebastian U. Stich
8. Santosh Srinivas Vempala
9. Himanshu Tyagi
10. Ananda Theertha Suresh

Who trusts Prathamesh Mayekar overall

1. Vitaly Feldman

Papers from Prathamesh Mayekar's perspective

Ordered by how strongly the researchers Prathamesh Mayekar 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. Learning Multiple Layers of Features from Tiny Images
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Limits on Gradient Compression for Stochastic Optimization (2020) — 26 citations