Tuyen T. T. Truong
Geometry and Topology · 2011–2018
A researcher in the Science corpus: 4 papers; trusts 55 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Geometry and Topology — 31 citations into it; #3,463 of 7,422 by trust here, #5,008 by citations
- Mathematical Physics — 31 citations into it; #4,112 of 8,562 by trust here, #5,408 by citations
- Optimization & Training — 26 citations into it
- Artificial Intelligence — 21 citations into it
- Computer Vision and Pattern Recognition — 10 citations into it
- Applied Mathematics — 8 citations into it; #6,329 of 7,620 by trust here, #6,241 by citations
- Statistical and Nonlinear Physics — 7 citations into it
- Computational Mechanics — 5 citations into it
Whom Tuyen T. T. Truong trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- T. Dinh
- Alex Krizhevsky
- Leslie N. Smith
- N. Sibony
- Dimitri P. Bertsekas
- Sebastian Ruder
- L. Eon Bottou
- Geoffrey E. Hinton
- Yurii E. Nesterov
- Kaiming He
Who trusts Tuyen T. T. Truong overall
Papers from Tuyen T. T. Truong's perspective
Ordered by how strongly the researchers Tuyen T. T. Truong trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Backtracking gradient descent method for general $C^1$ functions, with applications to Deep Learning (2018) — 10 citations
- Relative dynamical degrees of correspondences over a field of arbitrary characteristic (2016) — 95 citations
- Explicit Examples of rational and Calabi-Yau threefolds with primitive automorphisms of positive entropy (2013) — 67 citations
- ON THE DYNAMICAL DEGREES OF MEROMORPHIC MAPS PRESERVING A FIBRATION (2011) — 55 citations