Jayadev Bhaskaran
Artificial Intelligence · 2019
A researcher in the Science corpus: 1 paper; trusts 36 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 17 citations into it; #25,271 of 35,345 by trust here, #29,412 by citations
- Natural Language Processing — 14 citations into it; #4,189 of 5,688 by trust here, #5,092 by citations
- Safety, Robustness & Interpretability — 11 citations into it; #1,634 of 2,251 by trust here, #2,110 by citations
- Representation & Self-Supervised Learning — 7 citations into it
- Gender Studies — 5 citations into it
Whom Jayadev Bhaskaran trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Saif M. Mohammad
- Svetlana Kiritchenko
- Alec Radford
- Richard Socher
- Jeremy Howard
- Jacob Devlin
- Aylin Caliskan
- Geoffrey E. Hinton
- Elizabeth L. Haines
- Rachel Rudinger
Who trusts Jayadev Bhaskaran overall
Papers from Jayadev Bhaskaran's perspective
Ordered by how strongly the researchers Jayadev Bhaskaran trusts endorse each paper. Same corpus, a different order for every researcher.
- Long Short-Term Memory
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)