Tariq Alhindi

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it; #23,848 of 35,345 by trust here, #23,077 by citations
• Natural Language Processing — 9 citations into it; #3,987 of 5,688 by trust here, #4,361 by citations

Whom Tariq Alhindi trusts overall

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

1. William Yang Wang
2. Diederik P. Kingma
3. Sepp Hochreiter
4. Saif M. Mohammad
5. Jeffrey Pennington
6. James W. Pennebaker
7. Jimmy Ba
8. J. Urgen Schmidhuber
9. James Thorne
10. Richard Socher

Who trusts Tariq Alhindi overall

1. James Thorne
2. Pepa Atanasova
3. Zichao Li
4. Andreas Vlachos
5. Sarah Wiegreffe
6. Ana Marasovic
7. Chenhao Tan
8. Jakob Grue Simonsen
9. Prakhar Sharma
10. Neema Kotonya

Papers from Tariq Alhindi's perspective

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

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

Their papers

• Where is Your Evidence: Improving Fact-checking by Justification Modeling (2018) — 180 citations