Tian Tian
Artificial Intelligence · with Zhu · 2018–2020
A researcher in the Science corpus: 2 papers; trusts 35 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 38 citations into it; #29,769 of 35,345 by trust here, #16,166 by citations
- Computer Vision and Pattern Recognition — 30 citations into it; #18,605 of 21,575 by trust here, #16,367 by citations
- Generative Models — 22 citations into it; #1,688 of 1,956 by trust here, #1,651 by citations
- Probabilistic & Bayesian Methods — 9 citations into it
- Safety, Robustness & Interpretability — 9 citations into it; #2,063 of 2,251 by trust here, #1,404 by citations
Whom Tian Tian trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Christian Szegedy
- Ian J. Goodfellow
- Yoshua Bengio
- Alex Krizhevsky
- Ilya Sutskever
- Yann LeCun
- Kaiming He
- Max Welling
Who trusts Tian Tian overall
Papers from Tian Tian's perspective
Ordered by how strongly the researchers Tian Tian 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
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- GENERATIVE ADVERSARIAL NETS
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Adversarial Attack on Graph Structured Data (2018) — 894 citations
- VFlow: More Expressive Generative Flows with Variational Data Augmentation (2020) — 65 citations