Sheila A. McIlraith
Artificial Intelligence · 2000–2022
A researcher in the Science corpus: 17 papers; trusts 117 researchers and is trusted by 37 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 124 citations into it; #5,527 of 35,345 by trust here, #4,860 by citations
- Reinforcement Learning — 96 citations into it; #1,769 of 2,242 by trust here, #2,036 by citations
- Information Systems — 34 citations into it; #786 of 8,771 by trust here, #1,392 by citations
- Computer Networks and Communications — 21 citations into it; #6,468 of 9,886 by trust here, #9,214 by citations
- Computer Vision and Pattern Recognition — 20 citations into it; #16,177 of 21,575 by trust here, #19,310 by citations
- Control and Systems Engineering — 15 citations into it
- Management Science and Operations Research — 15 citations into it
- Computational Theory and Mathematics — 14 citations into it
Whom Sheila A. McIlraith trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Richard S. Sutton
- Diederik P. Kingma
- J. Urgen Schmidhuber
- Geoffrey E. Hinton
- Yoshua Bengio
- Satinder Singh
- Sepp Hochreiter
- David Silver
- Alex Krizhevsky
- Yann LeCun
Who trusts Sheila A. McIlraith overall
- Evren Sirin
- Qi Yu
- R. Hull
- Dan Wu
- E. Michael Maximilien
- Bijan Parsia
- Rohit Aggarwal
- David L. Martin
- Malik Ghallab
- David De Roure
Papers from Sheila A. McIlraith's perspective
Ordered by how strongly the researchers Sheila A. McIlraith trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- 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
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Dialogue act modeling for automatic tagging and recognition of conversational speech (2000) — 2,914 citations
- Planning from Pixels using Inverse Dynamics Models (2020) — 46 citations
- You Can't Count on Luck: Why Decision Transformers and RvS Fail in Stochastic Environments (2022) — 82 citations
- LTL2Action: Generalizing LTL Instructions for Multi-Task RL (2021) — 113 citations
- Planning Over Multi-Agent Epistemic States: A Classical Planning Approach (2015) — 122 citations
- Reward Machines: Exploiting Reward Function Structure in Reinforcement Learning (2020) — 325 citations
- Using Reward Machines for High-Level Task Specification and Decomposition in Reinforcement Learning (2018) — 359 citations
- Preferred Explanations: Theory and Generation via Planning (2011) — 103 citations
- Using Expectation Maximization to Find Likely Assignments for Solving CSP's (2007) — 17 citations
- Bringing Semantics to Web Services with OWL-S (2007) — 579 citations
- Bringing Semantics to Web Services: The OWL-S Approach (2004) — 940 citations
- Bringing semantics to Web services (2003) — 319 citations
- Simulation, verification and automated composition of web services (2002) — 990 citations
- DAML-S: Web Service Description for the Semantic Web (2002) — 556 citations
- Adapting Golog for Composition of Semantic Web Services (2002) — 1,017 citations
- Semantic Web Services (2001) — 1,139 citations
- DAML-S: Semantic Markup for Web Services (2001) — 3,340 citations