Allison C. Tam

Artificial Intelligence · 2021–2022

A researcher in the Science corpus: 3 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 108 citations into it
• Causal Inference & Discovery — 9 citations into it

Whom Allison C. Tam trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Richard S. Sutton
4. Diederik P. Kingma
5. J. Urgen Schmidhuber
6. Alex Krizhevsky
7. Yoshua Bengio
8. Karen Simonyan
9. Yann LeCun
10. Ilya Sutskever

Who trusts Allison C. Tam overall

1. J'er'emy Scheurer
2. Jesse Mu
3. Andrew Kyle Lampinen

Papers from Allison C. Tam's perspective

Ordered by how strongly the researchers Allison C. Tam 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. ImageNet: A large-scale hierarchical image database
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Semantic Exploration from Language Abstractions and Pretrained Representations (2022) — 84 citations
• Tell me why! Explanations support learning relational and causal structure (2021) — 51 citations
• Tell me why! - Explanations support learning of relational and causal structure (2021) — 6 citations