Yann Lifchitz

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 117 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 31 citations into it
• Artificial Intelligence — 26 citations into it
• Representation & Self-Supervised Learning — 20 citations into it
• Optimization & Training — 10 citations into it
• Model Architectures — 9 citations into it

Whom Yann Lifchitz trusts overall

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

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

Who trusts Yann Lifchitz overall

1. Hung-Yu Tseng
2. Yisheng Song
3. Chi Zhang
4. Hsin-Ying Lee
5. Ting-Yuan Wang

Papers from Yann Lifchitz's perspective

Ordered by how strongly the researchers Yann Lifchitz 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. Attention is All you Need (Neural Information Processing Systems)
5. ImageNet: A large-scale hierarchical image database
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Dense Classification and Implanting for Few-Shot Learning (2019) — 206 citations