Eshwar Chandrasekharan
Artificial Intelligence · 2017–2019
A researcher in the Science corpus: 3 papers; trusts 9 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 38 citations into it; #19,999 of 35,345 by trust here, #13,962 by citations
- Natural Language Processing — 31 citations into it; #4,015 of 5,688 by trust here, #3,369 by citations
- AI Ethics, Fairness & Society — 7 citations into it
- Gender Studies — 7 citations into it
- Statistics and Probability — 6 citations into it
Whom Eshwar Chandrasekharan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Donald B. Rubin
- Alberto Abadie
- Armand Joulin
- Piotr Bojanowski
- Zeerak Talat
- Cristian Danescu-Niculescu-Mizil
- Justin Cheng
- C. Frangakis
- Virgile Landeiro Dos Reis
- Anupam Datta
Who trusts Eshwar Chandrasekharan overall
- Anjalie Field
- Yulia Tsvetkov
- Bertie Vidgen
- Svetlana Kiritchenko
- Aida Mostafazadeh Davani
- Savvas Zannettou
- Isar Nejadgholi
Papers from Eshwar Chandrasekharan's perspective
Ordered by how strongly the researchers Eshwar Chandrasekharan trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- A Just and Comprehensive Strategy for Using NLP to Address Online Abuse (2019) — 153 citations
- Crossmod: A Cross-Community Learning-based System to Assist Reddit Moderators (2019) — 207 citations
- You Can't Stay Here (2017) — 327 citations