Lucie Flekova

Artificial Intelligence · 2015–2020

A researcher in the Science corpus: 4 papers; trusts 122 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 65 citations into it; #13,037 of 35,345 by trust here, #20,836 by citations
• Natural Language Processing — 54 citations into it; #1,812 of 5,688 by trust here, #4,449 by citations
• Representation & Self-Supervised Learning — 20 citations into it
• Social Psychology — 15 citations into it
• Information Systems — 11 citations into it
• Sociology and Political Science — 10 citations into it
• Experimental and Cognitive Psychology — 8 citations into it
• Safety, Robustness & Interpretability — 8 citations into it

Whom Lucie Flekova trusts overall

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

1. Geoffrey E. Hinton
2. Tomas Mikolov
3. Dirk Hovy
4. Yoshua Bengio
5. Zeerak Talat
6. Bo Pang
7. Diane Kelly
8. Dong Nguyen
9. Christopher D. Manning
10. Diederik P. Kingma

Who trusts Lucie Flekova overall

1. Mohammad Taher Pilehvar
2. José Camacho-Collados
3. Ramit Sawhney
4. Barbara Plank
5. Jeremy Barnes
6. Harshit Joshi
7. Dirk Hovy
8. Eduard H. Hovy
9. Roman Klinger
10. Jiaxu Zhao

Papers from Lucie Flekova's perspective

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

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

Their papers

• Analyzing Biases in Human Perception of User Age and Gender from Text (2016) — 54 citations
• Returning the N to NLP: Towards Contextually Personalized Classification Models (2020) — 76 citations
• Supersense Embeddings: A Unified Model for Supersense Interpretation, Prediction, and Utilization (2016) — 60 citations
• New exclusion limits on scalar and pseudoscalar axionlike particles from light shining through a wall (2015) — 177 citations