Kazi Shefaet Rahman

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it; #27,825 of 35,345 by trust here, #30,347 by citations
• Natural Language Processing — 15 citations into it; #4,592 of 5,688 by trust here, #5,214 by citations

Whom Kazi Shefaet Rahman trusts overall

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

1. Jeffrey L. Elman
2. Silviu Cucerzan
3. Michael Collins
4. Sepp Hochreiter
5. E. Tjong Kim Sang
6. Octavian-Eugen Ganea
7. Zhaochen Guo
8. Valentin I. Spitkovsky
9. John D. Lafferty

Who trusts Kazi Shefaet Rahman overall

1. Octavian-Eugen Ganea
2. Nikolaos Kolitsas
3. Thomas Hofmann

Papers from Kazi Shefaet Rahman's perspective

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

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

Their papers

• Collective Entity Disambiguation with Structured Gradient Tree Boosting (2018) — 41 citations