Alexey Svyatkovskiy
Artificial Intelligence · 2004–2023
A researcher in the Science corpus: 51 papers; trusts 142 researchers and is trusted by 26 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 287 citations into it; #9,587 of 35,345 by trust here, #6,266 by citations
- Natural Language Processing — 173 citations into it; #3,703 of 5,688 by trust here, #919 by citations
- Information Systems — 155 citations into it; #1,225 of 8,771 by trust here, #198 by citations
- Software — 102 citations into it; #157 of 1,227 by trust here, #10 by citations
- Evaluation & Benchmarks — 78 citations into it
- Code Generation & Program Synthesis — 64 citations into it
- Large Language Models — 64 citations into it
- Computer Vision and Pattern Recognition — 61 citations into it
Whom Alexey Svyatkovskiy trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Graves
- Geoffrey E. Hinton
- Yoshua Bengio
- Ilya Sutskever
- Richard Socher
- Diederik P. Kingma
- Jimmy Ba
- Premkumar T. Devanbu
- Alex Krizhevsky
- Ashish Vaswani
Who trusts Alexey Svyatkovskiy overall
- Daya Guo
- Yue Wang
- Xinyun Chen
- Maliheh Izadi
- Colin B. Clement
- Hung Le
- Yichen Xu
- Shubham Chandel
- Vincent J. Hellendoorn
- Shuai Lu
Papers from Alexey Svyatkovskiy's perspective
Ordered by how strongly the researchers Alexey Svyatkovskiy trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (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)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- PyMT5: Multi-mode Translation of Natural Language and Python Code with Transformers (2020) — 168 citations
- IntelliCode compose: code generation using transformer (2020) — 626 citations
- GraphCodeBERT: Pre-training Code Representations with Data Flow (2020) — 1,778 citations
- InferFix: End-to-End Program Repair with LLMs (2023) — 324 citations
- Reinforcement Learning from Automatic Feedback for High-Quality Unit Test Generation (2023) — 51 citations
- METHODS2TEST: A dataset of focal methods mapped to test cases (2022) — 45 citations
- Generating bug-fixes using pretrained transformers (2021) — 60 citations
- CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation (2021) — 1,545 citations
- Learning to Generate Code Sketches (2021) — 4 citations
- Unit Test Case Generation with Transformers (2020) — 292 citations
- Predicting disruptive instabilities in controlled fusion plasmas through deep learning (2019) — 325 citations
- Pythia: AI-assisted Code Completion System (2019) — 181 citations
- Particle-flow reconstruction and global event description with the CMS detector (2017) — 305 citations
- Search for high-mass diphoton resonances in proton-proton collisions at 13 TeV and combination with 8 TeV search (2017) — 140 citations
- Search for Dijet Resonances in Proton–proton Collisions at √s = 13 TeV and Constraints on Dark Matter and Other Models (2017) — 168 citations
- Search for supersymmetry in multijet events with missing transverse momentum in proton-proton collisions at 13 TeV (2017) — 170 citations
- Jet energy scale and resolution in the CMS experiment in pp collisions at 8 TeV (2016) — 918 citations
- Evidence for collectivity in pp collisions at the LHC (2016) — 444 citations
- Performance of photon reconstruction and identification with the CMS detector in proton-proton collisions at √s = 8 TeV (2015) — 358 citations
- Search for resonant tt production in proton-proton collisions at √s = 8 TeV (2015) — 150 citations