Victor Quach

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 46 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 35 citations into it
• Natural Language Processing — 32 citations into it
• Computer Vision and Pattern Recognition — 15 citations into it
• Large Language Models — 10 citations into it
• Model Architectures — 10 citations into it

Whom Victor Quach trusts overall

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

1. Yoshua Bengio
2. Geoffrey E. Hinton
3. Kyunghyun Cho
4. Diederik P. Kingma
5. Ilya Sutskever
6. Dzmitry Bahdanau
7. Tomas Mikolov
8. Alex Krizhevsky
9. Jiatao Gu
10. Alex Graves

Who trusts Victor Quach overall

1. Zhengxiao Du

Papers from Victor Quach's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
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. Gradient-based learning applied to document recognition
7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. ImageNet: A large-scale hierarchical image database
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Blank Language Models (2020) — 77 citations