Swarat Chaudhuri
Artificial Intelligence · 2010–2023
A researcher in the Science corpus: 19 papers; trusts 432 researchers and is trusted by 46 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 314 citations into it; #16,053 of 35,345 by trust here, #6,468 by citations
- Natural Language Processing — 179 citations into it; #1,886 of 5,688 by trust here, #2,605 by citations
- Computer Vision and Pattern Recognition — 110 citations into it; #16,025 of 21,575 by trust here, #7,340 by citations
- Information Systems — 110 citations into it; #822 of 8,771 by trust here, #1,815 by citations
- Software — 92 citations into it; #101 of 1,227 by trust here, #192 by citations
- Code Generation & Program Synthesis — 58 citations into it; #16 of 220 by trust here, #48 by citations
- Signal Processing — 49 citations into it; #5,539 of 7,572 by trust here, #7,112 by citations
- Computational Theory and Mathematics — 44 citations into it; #2,227 of 12,182 by trust here, #2,161 by citations
Whom Swarat Chaudhuri trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Veselin Raychev
- Yoshua Bengio
- Alex Krizhevsky
- Sumit Gulwani
- Alex Graves
- Yann LeCun
- Ilya Sutskever
- Radford M. Neal
Who trusts Swarat Chaudhuri overall
- Gilles Barthe
- Uri Alon
- Michael Pradel
- Vijayaraghavan Murali
- Xiyang Liu
- Miltiadis Allamanis
- Gian Pietro Farina
- Koushik Sen
- Timon Gehr
- Navid Yaghmazadeh
Papers from Swarat Chaudhuri's perspective
Ordered by how strongly the researchers Swarat Chaudhuri trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- AI2: Safety and Robustness Certification of Neural Networks with Abstract Interpretation (2018) — 1,008 citations
- HOUDINI: Lifelong Learning as Program Synthesis (2018) — 86 citations
- Flexible Generation of Natural Language Deductions (2021) — 38 citations
- Natural Language Deduction through Search over Statement Compositions (2022) — 52 citations
- Neural Attribute Machines for Program Generation (2017) — 35 citations
- Programmatically Interpretable Reinforcement Learning (2018) — 417 citations
- Synthesizing data structure transformations from input-output examples (2015) — 364 citations
- Proving programs robust (2011) — 141 citations
- Continuity analysis of programs (2010) — 108 citations
- A Probabilistic Framework for Modular Continual Learning (2023) — 5 citations
- Neurosymbolic Programming (2021) — 113 citations
- Bayesian specification learning for finding API usage errors (2017) — 47 citations
- Finding Likely Errors with Bayesian Specifications (2017) — 5 citations
- Data-Driven Program Completion (2017) — 12 citations
- Neural Sketch Learning for Conditional Program Generation (2017) — 141 citations
- Bayesian Sketch Learning for Program Synthesis (2017) — 38 citations
- Synthesizing transformations on hierarchically structured data (2016) — 59 citations
- A Study of Android Application Security (2011) — 1,070 citations
- Neurosymbolic Program Synthesis