Sainyam Galhotra

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 16 citations into it; #24,981 of 35,345 by trust here, #19,873 by citations
• Software — 11 citations into it
• Information Systems — 10 citations into it; #5,624 of 8,771 by trust here, #4,012 by citations
• AI Ethics, Fairness & Society — 8 citations into it
• Safety Research — 7 citations into it; #3,412 of 5,829 by trust here, #2,596 by citations

Whom Sainyam Galhotra trusts overall

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

1. Toon Calders
2. Faisal Kamiran
3. Paolo Tonella
4. Andrea Arcuri
5. Bianca Zadrozny
6. Koushik Sen
7. Christoph Csallner
8. Gordon Fraser
9. Nikolai Tillmann
10. Carlos Pacheco

Who trusts Sainyam Galhotra overall

1. Erwan Le Merrer
2. Jie M. Zhang
3. Marius Miron
4. Rico Angell
5. Philip S. Thomas
6. Sorelle A. Friedler
7. Gilles Trédan
8. Shira Mitchell
9. Yuriy Brun
10. Mark Harman

Papers from Sainyam Galhotra's perspective

Ordered by how strongly the researchers Sainyam Galhotra 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Discrimination in online ad delivery
7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
8. ImageNet: A large-scale hierarchical image database
9. Three naive Bayes approaches for discrimination-free classification
10. Long Short-Term Memory

Their papers

• Fairness testing: testing software for discrimination (2017) — 436 citations