Sharada Prasanna Mohanty

Artificial Intelligence · 2016–2021

A researcher in the Science corpus: 3 papers; trusts 53 researchers and is trusted by 25 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 51 citations into it
• Computer Vision and Pattern Recognition — 27 citations into it; #6,439 of 21,575 by trust here, #5,333 by citations
• Safety, Robustness & Interpretability — 20 citations into it
• Model Architectures — 8 citations into it
• Plant Science — 5 citations into it; #832 of 8,232 by trust here, #1,845 by citations

Whom Sharada Prasanna Mohanty trusts overall

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

1. David G. Lowe
2. Navneet Dalal
3. Yann LeCun
4. Christian Szegedy
5. Kaiming He
6. Geoffrey E. Hinton
7. David P. Hughes
8. Alex Krizhevsky
9. Min Lin
10. J. Urgen Schmidhuber

Who trusts Sharada Prasanna Mohanty overall

1. Ben. G. Weinstein
2. Yunhui Guo
3. Jordan R. Ubbens
4. Muhammad Hammad Saleem
5. José G. M. Esgario
6. Jinzhu Lu
7. Chun-Fu Chen
8. Halil Durmus
9. Sukhvir Kaur
10. Amy Lowe

Papers from Sharada Prasanna Mohanty's perspective

Ordered by how strongly the researchers Sharada Prasanna Mohanty 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet Large Scale Visual Recognition Challenge
6. ImageNet: A large-scale hierarchical image database
7. Going deeper with convolutions
8. Long Short-Term Memory
9. Attention is All you Need (Neural Information Processing Systems)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Using Deep Learning for Image-Based Plant Disease Detection (2016) — 4,343 citations
• The MineRL 2020 Competition on Sample Efficient Reinforcement Learning using Human Priors (2021) — 73 citations
• Adversarial Vision Challenge (2018) — 61 citations