Huy Tran
Artificial Intelligence · 2019–2022
A researcher in the Science corpus: 3 papers; trusts 362 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 80 citations into it
- Computer Vision and Pattern Recognition — 80 citations into it
- Multimodal Learning — 47 citations into it
- Natural Language Processing — 16 citations into it
- Question Answering & Reading Comprehension — 13 citations into it
- Representation & Self-Supervised Learning — 11 citations into it
- Model Architectures — 7 citations into it
- Efficiency & Compression — 6 citations into it
Whom Huy Tran trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Kaiming He
- Diederik P. Kingma
- Alex Krizhevsky
- Yoshua Bengio
- Ross B. Girshick
- Yann LeCun
- Ilya Sutskever
- Jimmy Ba
- Karen Simonyan
Who trusts Huy Tran overall
Papers from Huy Tran's perspective
Ordered by how strongly the researchers Huy Tran trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Compact Trilinear Interaction for Visual Question Answering (2019) — 67 citations
- Coarse-to-Fine Reasoning for Visual Question Answering (2021) — 48 citations
- Is Multi-Task Learning an Upper Bound for Continual Learning? (2022) — 7 citations