Marek Rei
Artificial Intelligence · 2015–2021
A researcher in the Science corpus: 7 papers; trusts 543 researchers and is trusted by 119 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 193 citations into it; #1,861 of 35,345 by trust here, #12,083 by citations
- Natural Language Processing — 143 citations into it; #681 of 5,688 by trust here, #2,955 by citations
- Computer Vision and Pattern Recognition — 57 citations into it; #13,732 of 21,575 by trust here, #19,766 by citations
- Evaluation & Benchmarks — 52 citations into it
- Large Language Models — 37 citations into it
- Representation & Self-Supervised Learning — 22 citations into it; #1,056 of 3,145 by trust here, #2,957 by citations
- Model Architectures — 19 citations into it
- Prompting & Reasoning — 17 citations into it
Whom Marek Rei trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Tomas Mikolov
- Geoffrey E. Hinton
- Yoshua Bengio
- Andriy Mnih
- Alex Graves
- Ronan Collobert
- Sepp Hochreiter
- Matthew D. Zeiler
- Diederik P. Kingma
- Alex Krizhevsky
Who trusts Marek Rei overall
- Sebastian Ruder
- Jeremy Howard
- Chelsea Finn
- Anusha Nagabandi
- Liyuan Liu
- Alec Radford
- Sergey Levine
- Paweł Budzianowski
- Faruk Ahmed
- Pieter Abbeel
Papers from Marek Rei's perspective
Ordered by how strongly the researchers Marek Rei 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)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- 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)
Their papers
- Semi-supervised Multitask Learning for Sequence Labeling (2017) — 253 citations
- Online Representation Learning in Recurrent Neural Language Models (2015) — 12 citations
- Supervising Model Attention with Human Explanations for Robust Natural Language Inference (2021) — 53 citations
- Automatic Text Scoring Using Neural Networks (2016) — 311 citations
- Natural Language Inference with a Human Touch: Using Human Explanations to Guide Model Attention (2021) — 10 citations
- Control Prefixes for Text Generation (2021) — 35 citations
- Control Prefixes for Parameter-Efficient Text Generation (2021) — 36 citations