Pantelis R. Vlachas
Artificial Intelligence · 2018–2019
A researcher in the Science corpus: 2 papers; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 48 citations into it
- Model Architectures — 23 citations into it
- Statistical and Nonlinear Physics — 20 citations into it
- Computer Vision and Pattern Recognition — 11 citations into it
- Optimization & Training — 11 citations into it
- Signal Processing — 11 citations into it
- Electrical and Electronic Engineering — 8 citations into it
- Natural Language Processing — 7 citations into it
Whom Pantelis R. Vlachas trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Graves
- Sepp Hochreiter
- Yoshua Bengio
- Diederik P. Kingma
- Paul J. Werbos
- J. Urgen Schmidhuber
- Geoffrey E. Hinton
- Xavier Glorot
- Herbert Jaeger
- Jimmy Ba
Who trusts Pantelis R. Vlachas overall
Papers from Pantelis R. Vlachas's perspective
Ordered by how strongly the researchers Pantelis R. Vlachas 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)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)