Ondrej Bohdal

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 57 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it
• Computer Vision and Pattern Recognition — 17 citations into it
• Optimization & Training — 5 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Ondrej Bohdal trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Yann LeCun
4. Yoshua Bengio
5. Ilya Sutskever
6. Christian Szegedy
7. Diederik P. Kingma
8. Chelsea Finn
9. Kaiming He
10. L. Eon Bottou

Who trusts Ondrej Bohdal overall

1. Bo Zhao
2. Hakan Bilen
3. Timothy Nguyen
4. Timothy M. Hospedales
5. Jianping Gou
6. George Cazenavette
7. Roman Novak
8. Antreas Antoniou
9. Baosheng Yu
10. Tongzhou Wang

Papers from Ondrej Bohdal's perspective

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

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

Their papers

• Flexible Dataset Distillation: Learn Labels Instead of Images (2020) — 124 citations