Gogul Balakrishnan
Artificial Intelligence · 2004–2019
A researcher in the Science corpus: 4 papers; trusts 99 researchers and is trusted by 15 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 67 citations into it; #15,184 of 35,345 by trust here, #23,077 by citations
- Natural Language Processing — 43 citations into it; #3,354 of 5,688 by trust here, #3,421 by citations
- Information Systems — 37 citations into it
- Software — 30 citations into it; #1,202 of 1,227 by trust here, #572 by citations
- Code Generation & Program Synthesis — 16 citations into it
- Program Analysis & Verification — 16 citations into it
- Representation & Self-Supervised Learning — 16 citations into it; #2,097 of 3,145 by trust here, #1,754 by citations
- Large Language Models — 13 citations into it
Whom Gogul Balakrishnan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Thomas Ball
- Miltiadis Allamanis
- Manuvir Das
- Diederik P. Kingma
- Tomas Mikolov
- Sriram K. Rajamani
- Alec Radford
- Geoffrey E. Hinton
- Yoshua Bengio
- Ilya Sutskever
Who trusts Gogul Balakrishnan overall
- Patrice Godefroid
- Sang Kil Cha
- David Brumley
- Dawn Song
- Thomas W. Reps
- Thanassis Avgerinos
- Michael Y. Levin
- Baptiste Rozière
- Daya Guo
- David A. Molnar
Papers from Gogul Balakrishnan's perspective
Ordered by how strongly the researchers Gogul Balakrishnan trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- Analyzing Memory Accesses in x86 Executables (2004) — 454 citations
- Pre-trained Contextual Embedding of Source Code (2019) — 83 citations
- Learning and Evaluating Contextual Embedding of Source Code (2019) — 452 citations
- WYSINWYX: What you see is not what you eXecute (2010) — 389 citations