Işıl Dillig
Artificial Intelligence · 2014–2020
A researcher in the Science corpus: 6 papers; trusts 36 researchers and is trusted by 27 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 58 citations into it; #15,206 of 35,345 by trust here, #13,163 by citations
- Information Systems — 39 citations into it; #881 of 8,771 by trust here, #1,045 by citations
- Software — 39 citations into it; #162 of 1,227 by trust here, #171 by citations
- Natural Language Processing — 32 citations into it; #1,543 of 5,688 by trust here, #2,106 by citations
- Signal Processing — 23 citations into it
- Computer Networks and Communications — 22 citations into it
- Code Generation & Program Synthesis — 16 citations into it; #29 of 220 by trust here, #72 by citations
- Computational Theory and Mathematics — 14 citations into it; #3,047 of 12,182 by trust here, #3,924 by citations
Whom Işıl Dillig trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Sumit Gulwani
- Henry Lieberman
- John K. Feser
- James A. Jones
- Gerson Zaverucha
- Rastislav Bodík
- J. Ross Quinlan
- Geoffrey E. Hinton
- Ilya Sutskever
- Tomas Mikolov
Who trusts Işıl Dillig overall
- Swarat Chaudhuri
- Yanxin Lu
- Vijayaraghavan Murali
- Navid Yaghmazadeh
- Tao Yu
- Li Dong
- Kensen Shi
- Augustus Odena
- Charles Sutton
- C. Jermaine
Papers from Işıl Dillig's perspective
Ordered by how strongly the researchers Işıl Dillig 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)
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- LambdaNet: Probabilistic Type Inference using Graph Neural Networks (2020) — 119 citations
- SQLizer: query synthesis from natural language (2017) — 336 citations
- Component-based synthesis for complex APIs (2017) — 163 citations
- Synthesizing data structure transformations from input-output examples (2015) — 364 citations
- Synthesizing transformations on hierarchically structured data (2016) — 59 citations
- Apposcopy: semantics-based detection of Android malware through static analysis (2014) — 489 citations