Alona Fyshe

Artificial Intelligence · 2004–2020

A researcher in the Science corpus: 8 papers; trusts 95 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 48 citations into it
• Natural Language Processing — 33 citations into it
• Representation & Self-Supervised Learning — 21 citations into it; #2,100 of 3,145 by trust here, #2,587 by citations
• Cognitive Neuroscience — 15 citations into it
• Computer Vision and Pattern Recognition — 15 citations into it; #13,020 of 21,575 by trust here, #10,154 by citations
• Reinforcement Learning — 13 citations into it
• Model Architectures — 8 citations into it
• Statistical Learning Theory — 7 citations into it

Whom Alona Fyshe trusts overall

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

1. Tomas Mikolov
2. Geoffrey E. Hinton
3. Kaiming He
4. Yoshua Bengio
5. Richard Socher
6. Ilya Sutskever
7. Jacob Eisenstein
8. Alex Krizhevsky
9. Diederik P. Kingma
10. Yann LeCun

Who trusts Alona Fyshe overall

1. Yonatan Belinkov
2. Ahmed Elgohary
3. Michael A. Lepori
4. Marine Carpuat
5. Jiwei Li
6. Jacob Andreas
7. R. Thomas McCoy

Papers from Alona Fyshe's perspective

Ordered by how strongly the researchers Alona Fyshe 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. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• A Compositional and Interpretable Semantic Space (2015) — 70 citations
• Visual Explanation of Evidence with Additive Classifiers (2006) — 135 citations
• Interpreting Word-Level Hidden State Behaviour of Character-Level LSTM Language Models (2018) — 6 citations
• Proteome Analyst: custom predictions with explanations in a web-based tool for high-throughput proteome annotations (2004) — 113 citations
• Maxmin Q-learning: Controlling the Estimation Bias of Q-learning (2020) — 219 citations
• The Emergence of Semantics in Neural Network Representations of Visual Information (2018) — 6 citations
• Social and Emotional Correlates of Capitalization on Twitter (2018) — 5 citations
• Simultaneously Uncovering the Patterns of Brain Regions Involved in Different Story Reading Subprocesses (2014) — 312 citations