Tom Kocmi
Artificial Intelligence · 2016–2023
A researcher in the Science corpus: 9 papers; trusts 96 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 161 citations into it; #21,041 of 35,345 by trust here, #7,797 by citations
- Natural Language Processing — 154 citations into it; #4,506 of 5,688 by trust here, #2,955 by citations
- Evaluation & Benchmarks — 117 citations into it; #2,443 of 3,147 by trust here, #1,420 by citations
- Computer Vision and Pattern Recognition — 44 citations into it
- Information Systems — 18 citations into it
- Machine Translation — 16 citations into it
- Model Architectures — 7 citations into it
Whom Tom Kocmi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Matt Post
- Ondrej Bojar
- Philipp Koehn
- Rico Sennrich
- Yvette Graham
- Markus Freitag
- Franz Joseph Och
- Ashish Vaswani
- Ricardo Rei
- Yoshua Bengio
Who trusts Tom Kocmi overall
- Yiheng Liu
- Ondrej Bojar
- Ricardo Rei
- Markus Freitag
- Eleftheria Briakou
- Xavier García
- Tianle Han
- Christian Federmann
- Viet Dac Lai
- Jiaan Wang
Papers from Tom Kocmi's perspective
Ordered by how strongly the researchers Tom Kocmi trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
Their papers
- Results of WMT22 Metrics Shared Task: Stop Using BLEU – Neural Metrics Are Better and More Robust (2022) — 351 citations
- CzEng 1.6: Enlarged Czech-English Parallel Corpus with Processing Tools Dockered (2016) — 97 citations
- To Ship or Not to Ship: An Extensive Evaluation of Automatic Metrics for Machine Translation (2021) — 250 citations
- CUNI Submission for Low-Resource Languages in WMT News 2019 (2019) — 15 citations
- Gender Coreference and Bias Evaluation at WMT 2020 (2020) — 33 citations
- Findings of the 2020 Conference on Machine Translation (WMT20) (2020) — 316 citations
- Large Language Models Are State-of-the-Art Evaluators of Translation Quality (2023) — 561 citations
- Findings of the 2021 Conference on Machine Translation (WMT21) (2021) — 244 citations
- CUNI Submissions in WMT18 (2018) — 10 citations