Saikat Chakraborty

Artificial Intelligence · 2018–2021

A researcher in the Science corpus: 5 papers; trusts 134 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 106 citations into it; #14,306 of 35,345 by trust here, #10,667 by citations
• Information Systems — 102 citations into it; #6,147 of 8,771 by trust here, #4,885 by citations
• Natural Language Processing — 82 citations into it; #3,052 of 5,688 by trust here, #2,529 by citations
• Software — 63 citations into it; #413 of 1,227 by trust here, #209 by citations
• Signal Processing — 41 citations into it
• Code Generation & Program Synthesis — 35 citations into it; #77 of 220 by trust here, #47 by citations
• Computer Vision and Pattern Recognition — 31 citations into it
• Program Analysis & Verification — 25 citations into it; #246 of 301 by trust here, #262 by citations

Whom Saikat Chakraborty trusts overall

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

1. Miltiadis Allamanis
2. Yoshua Bengio
3. Geoffrey E. Hinton
4. Diederik P. Kingma
5. Premkumar T. Devanbu
6. Ilya Sutskever
7. Alex Krizhevsky
8. Yann LeCun
9. Dzmitry Bahdanau
10. Jimmy Ba

Who trusts Saikat Chakraborty overall

1. Yangruibo Ding
2. Michael Fu
3. Toufique Ahmed
4. Prem Devanbu
5. Wasi Uddin Ahmad
6. Yi Li
7. Baishakhi Ray
8. Chun Xia
9. Yizheng Chen
10. Chakkrit Kla Tantithamthavorn

Papers from Saikat Chakraborty's perspective

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

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

Their papers

• Unified Pre-training for Program Understanding and Generation (2021) — 938 citations
• A Transformer-based Approach for Source Code Summarization (2020) — 456 citations
• Building Language Models for Text with Named Entities (2018) — 46 citations
• Deep Learning Based Vulnerability Detection: Are We There Yet? (2020) — 789 citations
• CODIT: Code Editing With Tree-Based Neural Models (2018) — 131 citations