Negar Arabzadeh

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 23 citations into it
• Information Retrieval & Search — 19 citations into it
• Information Systems — 15 citations into it
• Evaluation & Benchmarks — 10 citations into it

Whom Negar Arabzadeh trusts overall

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

1. Nick Craswell
2. Rodrigo Nogueira
3. Emine Yilmaz
4. Bhaskar Mitra
5. Jimmy J. Lin
6. Kyunghyun Cho
7. Daniel Fernando Campos
8. Tetsuya Sakai
9. Yingqi Qu
10. Geoffrey E. Hinton

Who trusts Negar Arabzadeh overall

1. Ashwin Paranjape
2. Xinyi Yan
3. Omar Khattab

Papers from Negar Arabzadeh's perspective

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

1. ImageNet classification with deep convolutional neural networks
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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
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. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Shallow pooling for sparse labels (2021) — 56 citations