João Sedoc

Artificial Intelligence · with Parasurama · 2022

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 11 citations into it
• Safety, Robustness & Interpretability — 7 citations into it
• Natural Language Processing — 5 citations into it

Whom João Sedoc trusts overall

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

1. Scott M. Lundberg
2. Tomas Mikolov
3. Iz Beltagy
4. Chi Sun
5. Tolga Bolukbasi
6. Ilya Sutskever
7. Su-In Lee
8. Tony Sun
9. Jieyu Zhao
10. Kai-Wei Chang

Papers from João Sedoc's perspective

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

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

Their papers

• Gendered Language in Resumes and its Implications for Algorithmic Bias in Hiring (2022) — 12 citations