Michael Boratko
Artificial Intelligence · 2018–2020
A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 54 citations into it
- Natural Language Processing — 50 citations into it
- Evaluation & Benchmarks — 26 citations into it
- Information Retrieval & Search — 6 citations into it
- Large Language Models — 6 citations into it
Whom Michael Boratko trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Peter Clark
- Alec Radford
- Geoffrey E. Hinton
- George A. Miller
- Yoshua Bengio
- Diederik P. Kingma
- Ilya Sutskever
- Alon Lavie
- Jacob Devlin
- Alex Krizhevsky
Who trusts Michael Boratko overall
- Adyasha Maharana
- Elias Frantar
- Mohit Bansal
- Saku Sugawara
- Dan Alistarh
- Xiaoyang Wang
- Sumithra Bhakthavatsalam
- Chadi Helwe
Papers from Michael Boratko's perspective
Ordered by how strongly the researchers Michael Boratko trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet: A large-scale hierarchical image database
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- A Systematic Classification of Knowledge, Reasoning, and Context within the ARC Dataset (2018) — 94 citations
- ProtoQA: A Question Answering Dataset for Prototypical Common-Sense Reasoning (2020) — 68 citations