Jibesh Patra

Information Systems · 2016–2019

A researcher in the Science corpus: 2 papers; trusts 56 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

• Information Systems — 42 citations into it; #3,460 of 8,771 by trust here, #5,303 by citations
• Software — 32 citations into it
• Artificial Intelligence — 30 citations into it
• Natural Language Processing — 18 citations into it; #2,322 of 5,688 by trust here, #4,601 by citations
• Program Analysis & Verification — 16 citations into it; #109 of 301 by trust here, #178 by citations
• Signal Processing — 16 citations into it; #3,505 of 7,572 by trust here, #4,560 by citations
• Code Generation & Program Synthesis — 13 citations into it; #97 of 220 by trust here, #160 by citations
• Computer Networks and Communications — 6 citations into it

Whom Jibesh Patra trusts overall

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

1. Patrice Godefroid
2. Veselin Raychev
3. Miltiadis Allamanis
4. Anh Tuan Nguyen
5. Koushik Sen
6. Martin T. Vechev
7. Earl T. Barr
8. Chun-Hung Hsiao
9. Vijay Ganesh
10. Christian Holler

Who trusts Jibesh Patra overall

1. Michael Pradel
2. Miltiadis Allamanis
3. Rabee Sohail Malik
4. Koushik Sen
5. Yi Li
6. Earl T. Barr
7. Kevin Jesse
8. Ming-Ho Yee
9. Shaohua Wang
10. Amir M. Mir

Papers from Jibesh Patra's perspective

Ordered by how strongly the researchers Jibesh Patra 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. Long Short-Term Memory
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Attention is All you Need (Neural Information Processing Systems)
6. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
7. Gradient-based learning applied to document recognition
8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
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

• NL2Type: Inferring JavaScript Function Types from Natural Language Information (2019) — 138 citations
• Learning to Fuzz: Application-Independent Fuzz Testing with Probabilistic, Generative Models of Input Data (2016) — 65 citations