Elisa Celis

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 49 researchers and is trusted by 26 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 28 citations into it; #7,083 of 35,345 by trust here, #11,072 by citations
• Safety, Robustness & Interpretability — 18 citations into it; #483 of 2,251 by trust here, #984 by citations
• Natural Language Processing — 17 citations into it; #1,516 of 5,688 by trust here, #2,407 by citations
• Representation & Self-Supervised Learning — 9 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it

Whom Elisa Celis trusts overall

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

1. Jieyu Zhao
2. Alec Radford
3. Jeffrey Pennington
4. Geoffrey E. Hinton
5. Ilya Sutskever
6. Jacob Devlin
7. Richard Socher
8. Yoshua Bengio
9. Kai-Wei Chang
10. Hila Gonen

Who trusts Elisa Celis overall

1. Eric Michael Smith
2. Adina Williams
3. Karolina Stańczak
4. Ryan Steed
5. Aylin Caliskan
6. Wei Guo
7. Oskar van der Wal
8. Su Lin Blodgett
9. Pieter Delobelle
10. Forrest N. Iandola

Papers from Elisa Celis's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
7. ImageNet: A large-scale hierarchical image database
8. Gradient-based learning applied to document recognition
9. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
10. GloVe: Global Vectors for Word Representation

Their papers

• Assessing Social and Intersectional Biases in Contextualized Word Representations (2019) — 264 citations