Hoang Thanh-Tung
Computer Vision and Pattern Recognition · 2018–2020
A researcher in the Science corpus: 2 papers; trusts 190 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 35 citations into it
- Generative Models — 31 citations into it
- Artificial Intelligence — 27 citations into it
- Optimization & Training — 21 citations into it
- Representation & Self-Supervised Learning — 7 citations into it
Whom Hoang Thanh-Tung trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- J. Urgen Schmidhuber
- Alex Krizhevsky
- Diederik P. Kingma
- Geoffrey E. Hinton
- Alec Radford
- Yoshua Bengio
- Kaiming He
- Martín Arjovsky
- Yann LeCun
- Lars M. Mescheder
Who trusts Hoang Thanh-Tung overall
Papers from Hoang Thanh-Tung's perspective
Ordered by how strongly the researchers Hoang Thanh-Tung 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)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- On catastrophic forgetting and mode collapse in Generative Adversarial Networks (2018) — 64 citations
- Catastrophic forgetting and mode collapse in GANs (2020) — 283 citations