Majid Yazdani

Artificial Intelligence · 2015–2022

A researcher in the Science corpus: 6 papers; trusts 173 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 171 citations into it; #18,176 of 35,345 by trust here, #22,463 by citations
• Natural Language Processing — 146 citations into it
• Computer Vision and Pattern Recognition — 65 citations into it
• Evaluation & Benchmarks — 51 citations into it
• Large Language Models — 44 citations into it
• Information Retrieval & Search — 19 citations into it
• Prompting & Reasoning — 18 citations into it
• Representation & Self-Supervised Learning — 16 citations into it

Whom Majid Yazdani trusts overall

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

1. Tomas Mikolov
2. Yoshua Bengio
3. Ronan Collobert
4. Geoffrey E. Hinton
5. Jason Aaron Edward Weston
6. Richard Socher
7. Diederik P. Kingma
8. Ilya Sutskever
9. Alex Graves
10. Alex Krizhevsky

Who trusts Majid Yazdani overall

1. Zijian Zhao
2. Wei Wang
3. Guangfeng Yan
4. Su Zhu
5. Vincent Wenchen Zheng
6. Lu Fan
7. Tara Safavi
8. 刘晗
9. Kai Yu
10. Neema Kotonya

Papers from Majid Yazdani's perspective

Ordered by how strongly the researchers Majid Yazdani 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. Attention is All you Need (Neural Information Processing Systems)
3. ImageNet classification with deep convolutional neural networks
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
7. Gradient-based learning applied to document recognition
8. ImageNet: A large-scale hierarchical image database
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

• Prompt-free and Efficient Few-shot Learning with Language Models (2022) — 76 citations
• Cross-Policy Compliance Detection via Question Answering (2021) — 11 citations
• Neural Databases (2020) — 9 citations
• Policy Compliance Detection via Expression Tree Inference (2022)
• KILT: a Benchmark for Knowledge Intensive Language Tasks (2020) — 820 citations
• A Model of Zero-Shot Learning of Spoken Language Understanding (2015) — 65 citations