Theodoros Rekatsinas
Artificial Intelligence · 2015–2019
A researcher in the Science corpus: 6 papers; trusts 37 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 97 citations into it; #23,329 of 35,345 by trust here, #12,761 by citations
- Natural Language Processing — 50 citations into it
- Management Science and Operations Research — 32 citations into it; #9,150 of 11,946 by trust here, #3,247 by citations
- Information Systems — 24 citations into it
- Computer Networks and Communications — 13 citations into it
- Information Retrieval & Search — 5 citations into it
- ML Systems & Hardware — 5 citations into it; #424 of 575 by trust here, #431 by citations
- Optimization & Training — 5 citations into it
Whom Theodoros Rekatsinas trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Xu Chu
- Robert Tibshirani
- Ihab F. Ilyas
- Joseph M Hellerstein
- Lise Getoor
- Geoffrey E. Hinton
- Stephen H. Bach
- Yoshua Bengio
- Jerome H. Friedman
- Diederik P. Kingma
Who trusts Theodoros Rekatsinas overall
- Steven Euijong Whang
- Alexander J. Ratner
- Avanika Narayan
- Yuji Roh
- Ying-Cheng Lu
- Mostafa Dehghani
- Christopher R'e
- Sanjay Krishnan
- Stephen H. Bach
- Marc-André Zöller
Papers from Theodoros Rekatsinas's perspective
Ordered by how strongly the researchers Theodoros Rekatsinas trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- 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
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- Deep Learning for Entity Matching: A Design Space Exploration (2018) — 675 citations
- HoloClean: Holistic Data Repairs with Probabilistic Inference (2017) — 582 citations
- SysML: The New Frontier of Machine Learning Systems (2019) — 23 citations
- MLSys: The New Frontier of Machine Learning Systems (2019) — 25 citations
- Fonduer: Knowledge Base Construction from Richly Formatted Data (2017) — 99 citations
- SLiMFast: Guaranteed Results for Data Fusion and Source Reliability (2015) — 63 citations