Reza Farahbakhsh

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 22 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it; #19,107 of 35,345 by trust here, #26,682 by citations
• Natural Language Processing — 18 citations into it; #3,280 of 5,688 by trust here, #4,793 by citations
• Safety, Robustness & Interpretability — 9 citations into it; #1,253 of 2,251 by trust here, #2,014 by citations
• Communication — 7 citations into it
• Information Systems — 6 citations into it
• AI Ethics, Fairness & Society — 5 citations into it

Whom Reza Farahbakhsh trusts overall

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

1. Zeerak Talat
2. Yashar Mehdad
3. Alec Radford
4. Thomas Davidson
5. P. Burnap
6. Shervin Malmasi
7. Paula Fortuna
8. Jacob Devlin
9. Joel R. Tetreault
10. Ziqi Zhang

Who trusts Reza Farahbakhsh overall

1. Miaoyun Zhao
2. Endang Wahyu Pamungkas
3. Yulai Cong

Papers from Reza Farahbakhsh's perspective

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

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

Their papers

• A BERT-Based Transfer Learning Approach for Hate Speech Detection in Online Social Media (2019) — 434 citations