Mohamed Abdalla

Artificial Intelligence · with Ghassemi · 2020

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 34 citations into it
• Safety, Robustness & Interpretability — 23 citations into it
• Natural Language Processing — 16 citations into it

Whom Mohamed Abdalla trusts overall

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

1. Geoffrey E. Hinton
2. Jacob Devlin
3. Richard S. Zemel
4. Yoshua Bengio
5. Diederik P. Kingma

Papers from Mohamed Abdalla's perspective

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

1. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
2. Attention is All you Need (Neural Information Processing Systems)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet classification with deep convolutional neural networks
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
8. GloVe: Global Vectors for Word Representation
9. ImageNet: A large-scale hierarchical image database
10. Language Models are Unsupervised Multitask Learners

Their papers

• Hurtful words: quantifying biases in clinical contextual word embeddings (2020) — 206 citations