Shehzaad Dhuliawala

Artificial Intelligence · 2017–2023

A researcher in the Science corpus: 3 papers; trusts 62 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 90 citations into it; #14,835 of 35,345 by trust here, #7,858 by citations
• Natural Language Processing — 59 citations into it
• Computer Vision and Pattern Recognition — 31 citations into it; #10,312 of 21,575 by trust here, #9,079 by citations
• Information Retrieval & Search — 20 citations into it; #482 of 1,022 by trust here, #266 by citations
• Reinforcement Learning — 10 citations into it
• Information Systems — 9 citations into it
• Management Science and Operations Research — 8 citations into it
• Model Architectures — 5 citations into it

Whom Shehzaad Dhuliawala trusts overall

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

1. Diederik P. Kingma
2. Ronald J. Williams
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Ilya Sutskever
6. Alex Krizhevsky
7. Sepp Hochreiter
8. Jimmy Ba
9. Yann LeCun
10. Alex Graves

Who trusts Shehzaad Dhuliawala overall

1. Akari Asai
2. Jinhyuk Lee
3. Yuyu Zhang
4. Sewon Min
5. Hannaneh Hajishirzi
6. Bhuwan Dhingra
7. Minjoon Seo
8. Vidhisha Balachandran
9. Peng Qi
10. Manzil Zaheer

Papers from Shehzaad Dhuliawala's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Long Short-Term Memory
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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Multi-step Retriever-Reader Interaction for Scalable Open-domain Question Answering (2019) — 173 citations
• Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning (2017) — 615 citations
• Chain-of-Verification Reduces Hallucination in Large Language Models (2023) — 515 citations