Shirish K. Shevade

Artificial Intelligence · 2000–2019

A researcher in the Science corpus: 9 papers; trusts 62 researchers and is trusted by 50 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 67 citations into it; #6,168 of 35,345 by trust here, #6,664 by citations
• Natural Language Processing — 25 citations into it; #3,656 of 5,688 by trust here, #4,983 by citations
• Computer Vision and Pattern Recognition — 23 citations into it; #8,865 of 21,575 by trust here, #12,689 by citations
• Information Systems — 19 citations into it; #1,262 of 8,771 by trust here, #1,203 by citations
• Optimization & Training — 19 citations into it; #2,448 of 2,601 by trust here, #2,568 by citations
• Software — 18 citations into it; #242 of 1,227 by trust here, #158 by citations
• Evaluation & Benchmarks — 8 citations into it
• Molecular Biology — 8 citations into it; #8,221 of 17,773 by trust here, #10,695 by citations

Whom Shirish K. Shevade trusts overall

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

1. Thorsten Joachims
2. Vladimir Naumovich Vapni
3. Diederik P. Kingma
4. John C. Platt
5. Geoffrey E. Hinton
6. Alex Krizhevsky
7. Yoshua Bengio
8. Jimmy Ba
9. Ilya Sutskever
10. Yann LeCun

Who trusts Shirish K. Shevade overall

1. Ronan Collobert
2. S. Sathiya Keerthi
3. Chih-Jen Lin
4. Michihiro Yasunaga
5. Vojtech Franc
6. Jakramate Bootkrajang
7. Percy Liang
8. Chih-Wei Hsu
9. Wei Chu
10. Tomas Brychcin

Papers from Shirish K. Shevade's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Improvements to Platt's SMO Algorithm for SVM Classifier Design (2001) — 1,974 citations
• A framework for the extraction of Deep Neural Networks by leveraging public data (2019) — 63 citations
• Improvements to the SMO algorithm for SVM regression (2000) — 927 citations
• Deep Reinforcement Learning for Programming Language Correction (2018) — 34 citations
• A Sequential Dual Method for Structural SVMs (2011) — 27 citations
• A simple and efficient algorithm for gene selection using sparse logistic regression (2003) — 402 citations
• Neural Attribution for Semantic Bug-Localization in Student Programs (2019) — 41 citations
• DeepFix: Fixing Common C Language Errors by Deep Learning (2017) — 549 citations
• A fast iterative nearest point algorithm for support vector machine classifier design (2000) — 419 citations