Lara J. Martin

Artificial Intelligence · 2017–2021

A researcher in the Science corpus: 5 papers; trusts 29 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 56 citations into it; #24,129 of 35,345 by trust here, #13,163 by citations
• Natural Language Processing — 46 citations into it; #4,071 of 5,688 by trust here, #2,605 by citations
• Computer Vision and Pattern Recognition — 27 citations into it; #18,231 of 21,575 by trust here, #12,419 by citations
• Reinforcement Learning — 19 citations into it; #2,089 of 2,242 by trust here, #1,482 by citations
• Model Architectures — 11 citations into it
• Developmental and Educational Psychology — 5 citations into it

Whom Lara J. Martin trusts overall

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

1. Ilya Sutskever
2. Mark O. Riedl
3. Ronald J. Williams
4. Karin Kipper Schuler
5. David Bamman
6. Richard S. Sutton
7. Tomas Mikolov
8. Geoffrey E. Hinton
9. Oriol Vinyals
10. Sepp Hochreiter

Who trusts Lara J. Martin overall

1. Pradyumna Tambwekar
2. Brent Harrison
3. Angela Fan
4. Amal Alabdulkarim
5. Mark O. Riedl
6. Louis Castricato
7. Piotr Wojciech Mirowski
8. Murtaza Dhuliawala
9. Michael Lewis
10. W. Li

Papers from Lara J. Martin's perspective

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

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

Their papers

• Event Representations for Automated Story Generation with Deep Neural Nets (2017) — 231 citations
• Controllable Neural Story Plot Generation via Reward Shaping (2018) — 99 citations
• Goal-Directed Story Generation: Augmenting Generative Language Models with Reinforcement Learning (2021) — 26 citations
• Controllable Neural Story Plot Generation via Reinforcement Learning (2018) — 41 citations
• Controllable Neural Story Generation via Reinforcement Learning (2018) — 13 citations