Michal Shlapentokh-Rothman

Artificial Intelligence · 2023

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 55 citations into it

Whom Michal Shlapentokh-Rothman trusts overall

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

1. Shunyu Yao
2. David Silver
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Diederik P. Kingma
6. Alex Krizhevsky
7. Ilya Sutskever
8. Kaiming He
9. Yann LeCun
10. Richard S. Sutton

Papers from Michal Shlapentokh-Rothman's perspective

Ordered by how strongly the researchers Michal Shlapentokh-Rothman 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. Attention is All you Need (Neural Information Processing Systems)
3. ImageNet classification with deep convolutional neural networks
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Language Models are Few-Shot Learners (Neural Information Processing Systems)
7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
8. Gradient-based learning applied to document recognition
9. ImageNet: A large-scale hierarchical image database
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models (2023) — 568 citations