Wasi Uddin Ahmad

Artificial Intelligence · 2018–2022

A researcher in the Science corpus: 7 papers; trusts 164 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 189 citations into it; #19,421 of 35,345 by trust here, #9,170 by citations
• Natural Language Processing — 156 citations into it; #3,409 of 5,688 by trust here, #2,767 by citations
• Information Systems — 97 citations into it
• Computer Vision and Pattern Recognition — 59 citations into it
• Software — 43 citations into it; #567 of 1,227 by trust here, #250 by citations
• Code Generation & Program Synthesis — 40 citations into it; #108 of 220 by trust here, #22 by citations
• Large Language Models — 39 citations into it
• Evaluation & Benchmarks — 36 citations into it

Whom Wasi Uddin Ahmad trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Ilya Sutskever
4. Yoshua Bengio
5. Jimmy Ba
6. Alex Krizhevsky
7. Richard Socher
8. Sepp Hochreiter
9. Yann LeCun
10. Kaiming He

Who trusts Wasi Uddin Ahmad overall

1. Toufique Ahmed
2. Chun Xia
3. Prem Devanbu
4. Kevin Jesse
5. Katikapalli Subramanyam Kalyan
6. Baptiste Rozière
7. Frank F. Xu
8. Yue Wang
9. Yinlin Deng
10. Yangruibo Ding

Papers from Wasi Uddin Ahmad's perspective

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

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

Their papers

• Unified Pre-training for Program Understanding and Generation (2021) — 938 citations
• A Transformer-based Approach for Source Code Summarization (2020) — 456 citations
• Multi-lingual Evaluation of Code Generation Models (2022) — 247 citations
• Multi-task Learning for Universal Sentence Embeddings: A Thorough Evaluation using Transfer and Auxiliary Tasks (2018) — 6 citations
• CoCoMIC: Code Completion by Jointly Modeling In-file and Cross-file Context (2022) — 111 citations
• CoDesc: A Large Code–Description Parallel Dataset (2021) — 41 citations
• BanglaBERT: Language Model Pretraining and Benchmarks for Low-Resource Language Understanding Evaluation in Bangla (2021) — 323 citations