Yogarshi Vyas

Artificial Intelligence · 2015–2021

A researcher in the Science corpus: 3 papers; trusts 61 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 73 citations into it
• Natural Language Processing — 66 citations into it; #2,836 of 5,688 by trust here, #4,601 by citations
• Safety, Robustness & Interpretability — 43 citations into it
• Evaluation & Benchmarks — 12 citations into it
• Representation & Self-Supervised Learning — 12 citations into it
• AI Ethics, Fairness & Society — 8 citations into it

Whom Yogarshi Vyas trusts overall

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

1. Dirk Hovy
2. Dekang Lin
3. Ido Dagan
4. Juri Ganitkevitch
5. K. Erk
6. Marco Baroni
7. Omer Levy
8. Oren Melamud
9. Richard Socher
10. Geoffrey E. Hinton

Who trusts Yogarshi Vyas overall

1. Hainan Xu
2. Lucía Santamaría
3. Marzieh Fadaee
4. Huda Khayrallah
5. Philipp Koehn

Papers from Yogarshi Vyas's perspective

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

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

Their papers

• Quantifying Social Biases in NLP: A Generalization and Empirical Comparison of Extrinsic Fairness Metrics (2021) — 140 citations
• Detecting Asymmetric Semantic Relations in Context: A Case-Study on Hypernymy Detection (2017) — 10 citations
• Class-based N-gram language difference models for data selection (2015) — 16 citations