Deven Santosh Shah
Artificial Intelligence · 2019
A researcher in the Science corpus: 1 paper; trusts 27 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 39 citations into it; #15,479 of 35,345 by trust here, #13,353 by citations
- Natural Language Processing — 26 citations into it
- Safety, Robustness & Interpretability — 24 citations into it; #1,021 of 2,251 by trust here, #1,162 by citations
- Safety Research — 7 citations into it
- Computer Vision and Pattern Recognition — 6 citations into it
Whom Deven Santosh Shah trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Dirk Hovy
- Jieyu Zhao
- Aylin Caliskan
- Mark Yatskar
- Miguel A. Hern'an
- Malvina Nissim
- Rachel Rudinger
- Geoffrey E. Hinton
- Thomas Manzini
- Kaylee Burns
Who trusts Deven Santosh Shah overall
- Zeerak Talat
- Eduard H. Hovy
- Dirk Hovy
- Danielle Saunders
- Shrimai Prabhumoye
- Anders Søgaard
- Paul Röttger
- Emily Dinan
- Isar Nejadgholi
- Joachim Bingel
Papers from Deven Santosh Shah's perspective
Ordered by how strongly the researchers Deven Santosh Shah trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- 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
- GloVe: Global Vectors for Word Representation
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- Predictive Biases in Natural Language Processing Models: A Conceptual Framework and Overview (2019) — 291 citations