Vid Kocijan
Natural Language Processing · 2019–2021
A researcher in the Science corpus: 3 papers; trusts 44 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Natural Language Processing — 62 citations into it; #4,736 of 5,688 by trust here, #3,235 by citations
- Artificial Intelligence — 51 citations into it; #29,134 of 35,345 by trust here, #15,542 by citations
- Evaluation & Benchmarks — 19 citations into it
- Computer Vision and Pattern Recognition — 16 citations into it; #17,930 of 21,575 by trust here, #11,498 by citations
- Large Language Models — 6 citations into it
Whom Vid Kocijan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Christopher D. Manning
- Jacob Devlin
- Geoffrey E. Hinton
- Alec Radford
- Yoshua Bengio
- Ashish Vaswani
- Diederik P. Kingma
- Ilya Sutskever
- Alex Krizhevsky
- Quoc V. Le
Who trusts Vid Kocijan overall
- Hongming Zhang
- Michael Matena
- Ethan Perez
- Pengcheng He
- Haokun Liu
- Forrest N. Iandola
- Ori Ram
- Zahra Fatemi
- Alexandre Tamborrino
- Dorottya Demszky
Papers from Vid Kocijan's perspective
Ordered by how strongly the researchers Vid Kocijan 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
- Gradient-based learning applied to document recognition
- 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
- A Surprisingly Robust Trick for the Winograd Schema Challenge (2019) — 106 citations
- WikiCREM: A Large Unsupervised Corpus for Coreference Resolution (2019) — 30 citations
- Few-Shot Out-of-Domain Transfer Learning of Natural Language Explanations (2021) — 22 citations