Ashequl Qadir

Artificial Intelligence · 2011–2018

A researcher in the Science corpus: 6 papers; trusts 35 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 82 citations into it
• Natural Language Processing — 51 citations into it
• Computer Vision and Pattern Recognition — 31 citations into it
• Model Architectures — 15 citations into it
• Medical & Health AI — 14 citations into it
• Reinforcement Learning — 13 citations into it
• Molecular Biology — 11 citations into it
• Evaluation & Benchmarks — 7 citations into it

Whom Ashequl Qadir trusts overall

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

1. Anna Maria Di Sciullo
2. Ellen Riloff
3. Michael Thelen
4. Kristina Toutanova
5. Theresa Wilson
6. Janyce Wiebe
7. Mark A. Hall
8. Diederik P. Kingma
9. Richard S. Sutton
10. Geoffrey E. Hinton

Who trusts Ashequl Qadir overall

1. Sri Meiweni Basra
2. Luthfiyatun Thoyyibah
3. Aniruddha Ghosh
4. Soujanya Poria
5. Cynthia Van Hee
6. Yitao Cai
7. Aditya Joshi
8. Chao Yu

Papers from Ashequl Qadir's perspective

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

1. Long Short-Term Memory
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
8. ImageNet: A large-scale hierarchical image database
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)

Their papers

• DR-BiLSTM: Dependent Reading Bidirectional LSTM for Natural Language Inference (2018) — 105 citations
• Sarcasm as Contrast between a Positive Sentiment and Negative Situation (2013) — 696 citations
• Condensed Memory Networks for Clinical Diagnostic Inferencing (2016) — 108 citations
• Learning to Diagnose: Assimilating Clinical Narratives using Deep Reinforcement Learning (2017) — 29 citations
• Diagnostic Inferencing via Improving Clinical Concept Extraction with Deep Reinforcement Learning: A Preliminary Study (2017) — 43 citations
• Classifying Sentences as Speech Acts in Message Board Posts (2011) — 138 citations