Mikhail Isaev

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 30 citations into it; #18,172 of 21,575 by trust here, #15,955 by citations
• Artificial Intelligence — 29 citations into it; #29,532 of 35,345 by trust here, #24,417 by citations
• Model Architectures — 14 citations into it
• Optimization & Training — 7 citations into it

Whom Mikhail Isaev trusts overall

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

1. Christian Szegedy
2. Yoshua Bengio
3. Sergey Ioffe
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Kaiming He
7. Vincent Vanhoucke
8. Yann LeCun
9. Ilya Sutskever
10. Diederik P. Kingma

Who trusts Mikhail Isaev overall

1. Tim Dettmers

Papers from Mikhail Isaev's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Attention is All you Need (Neural Information Processing Systems)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet Large Scale Visual Recognition Challenge
5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
6. Long Short-Term Memory
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Gradient-based learning applied to document recognition
9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Integer Quantization for Deep Learning Inference: Principles and Empirical Evaluation (2020) — 488 citations