M. R. Mim

Artificial Intelligence · 2022

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

Subfields

• Artificial Intelligence — 16 citations into it

Whom M. R. Mim trusts overall

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

1. Ilya Sutskever

Papers from M. R. Mim's perspective

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

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

Their papers

• An Empirical Study of Code Smells in Transformer-based Code Generation Techniques (2022) — 102 citations