Shachar Mirkin

Artificial Intelligence · 2009–2022

A researcher in the Science corpus: 6 papers; trusts 51 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 203 citations into it; #8,864 of 35,345 by trust here, #11,327 by citations
• Natural Language Processing — 148 citations into it; #3,949 of 5,688 by trust here, #4,879 by citations
• Large Language Models — 65 citations into it
• Evaluation & Benchmarks — 54 citations into it
• Computer Vision and Pattern Recognition — 45 citations into it
• Representation & Self-Supervised Learning — 22 citations into it
• Information Systems — 15 citations into it; #5,234 of 8,771 by trust here, #6,501 by citations
• Molecular Biology — 9 citations into it; #12,629 of 17,773 by trust here, #11,410 by citations

Whom Shachar Mirkin trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Philipp Koehn
2. Dekang Lin
3. Kenneth Heafield
4. Franz Joseph Och
5. Paul Resnick
6. Amittai Axelrod
7. Mauro Cettolo
8. Robert E. Schapire
9. Thomas G. Dietterich
10. Andreas Stolcke

Who trusts Shachar Mirkin overall

1. Federico Bianchi
2. Eva Vanmassenhove
3. Shuly Wintner
4. Dirk Hovy
5. Ion Androutsopoulos
6. Shrimai Prabhumoye
7. Christian Hardmeier
8. Paul Michel
9. Eduard H. Hovy
10. Barbara Plank

Papers from Shachar Mirkin's perspective

Ordered by how strongly the researchers Shachar Mirkin trusts endorse each paper. Same corpus, a different order for every researcher.

1. Attention is All you Need (Neural Information Processing Systems)
2. Long Short-Term Memory
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. ImageNet classification with deep convolutional neural networks
6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
9. Gradient-based learning applied to document recognition
10. ImageNet: A large-scale hierarchical image database

Their papers

• Motivating Personality-aware Machine Translation (2015) — 58 citations
• Personalized Machine Translation: Predicting Translational Preferences (2015) — 28 citations
• Personalized Machine Translation: Preserving Original Author Traits (2016) — 125 citations
• Evaluating the Inferential Utility of Lexical-Semantic Resources (2009) — 29 citations
• Emergent Structures and Training Dynamics in Large Language Models (2022)
• BLOOM: A 176B-Parameter Open-Access Multilingual Language Model (2022) — 2,975 citations