Mihaela C. Stoian

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 21 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 18 citations into it; #32,088 of 35,345 by trust here, #30,347 by citations
• Speech & Audio — 12 citations into it
• Natural Language Processing — 7 citations into it
• Signal Processing — 7 citations into it
• Model Architectures — 6 citations into it

Whom Mihaela C. Stoian trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. Ronald J. Williams
4. Sepp Hochreiter
5. Sergey Ioffe
6. Vinod Nair
7. Alex Krizhevsky
8. Yoshua Bengio
9. Jimmy Ba
10. J. Urgen Schmidhuber

Who trusts Mihaela C. Stoian overall

1. Anne Wu
2. Changhan Wang
3. Juan Pino

Papers from Mihaela C. Stoian's perspective

Ordered by how strongly the researchers Mihaela C. Stoian trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Long Short-Term Memory
4. ImageNet classification with deep convolutional neural networks
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Analyzing ASR Pretraining for Low-Resource Speech-to-Text Translation (2019) — 75 citations