Sean Vasquez
Artificial Intelligence · 2019
A researcher in the Science corpus: 1 paper; trusts 108 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 25 citations into it; #17,001 of 35,345 by trust here, #20,836 by citations
- Computer Vision and Pattern Recognition — 25 citations into it
- Generative Models — 25 citations into it
- Signal Processing — 20 citations into it; #3,427 of 7,572 by trust here, #3,784 by citations
- Speech & Audio — 12 citations into it; #547 of 1,076 by trust here, #769 by citations
- Natural Language Processing — 7 citations into it
- Model Architectures — 6 citations into it
Whom Sean Vasquez trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Graves
- Aäron van den Oord
- Nal Kalchbrenner
- Diederik P. Kingma
- J. Urgen Schmidhuber
- Geoffrey E. Hinton
- Yoshua Bengio
- Sepp Hochreiter
- Alex Krizhevsky
- Charles M. Bishop
Who trusts Sean Vasquez overall
- Xu Tan
- Zhaoxi Mu
- Mikolaj Binkowski
- Sameer Khurana
- Raza Habib
- Nikolaos Ellinas
- Tao Qin
- Xinyu Yang
- Dipjyoti Paul
- Jeff Donahue
Papers from Sean Vasquez's perspective
Ordered by how strongly the researchers Sean Vasquez 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
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Going deeper with convolutions
- Learning Multiple Layers of Features from Tiny Images
- GENERATIVE ADVERSARIAL NETS
Their papers
- MelNet: A Generative Model for Audio in the Frequency Domain (2019) — 142 citations