Roxana Istrate

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 4 papers; trusts 202 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 72 citations into it
• Artificial Intelligence — 55 citations into it; #25,126 of 35,345 by trust here, #17,412 by citations
• Model Architectures — 22 citations into it
• Optimization & Training — 17 citations into it
• Media Technology — 10 citations into it
• Representation & Self-Supervised Learning — 8 citations into it

Whom Roxana Istrate trusts overall

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

1. Kaiming He
2. Alex Krizhevsky
3. Karen Simonyan
4. Geoffrey E. Hinton
5. X. Zhang
6. Yoshua Bengio
7. Shaoqing Ren
8. Yann LeCun
9. Andrew Zisserman
10. Diederik P. Kingma

Who trusts Roxana Istrate overall

1. Umberto Michieli
2. Pietro Zanuttigh
3. Xiaoliang Dai
4. Martin Wistuba
5. J. Mellor
6. Yanan Sun
7. Julien N. Siems
8. Efi Kokiopoulou
9. Hongxu Yin
10. Florian Scheidegger

Papers from Roxana Istrate's perspective

Ordered by how strongly the researchers Roxana Istrate 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. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• BAGAN: Data Augmentation with Balancing GAN (2018) — 357 citations
• TAPAS: Train-less Accuracy Predictor for Architecture Search (2018) — 78 citations
• Efficient image dataset classification difficulty estimation for predicting deep-learning accuracy (2018) — 53 citations
• Incremental Training of Deep Convolutional Neural Networks (2018) — 21 citations