Gaston Lenczner

2022

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Gaston Lenczner trusts overall

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

1. Umberto Michieli
2. Abhishek Chaurasia
3. Onur Tasar
4. Arthur Douillard
5. Franz Rottensteiner
6. Pietro Zanuttigh
7. Eugenio Culurciello
8. Yuliya Tarabalka
9. Matthieu Cord

Papers from Gaston Lenczner's perspective

Ordered by how strongly the researchers Gaston Lenczner 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Distilling the Knowledge in a Neural Network (arXiv.org)
7. ImageNet Large Scale Visual Recognition Challenge
8. Learning Multiple Layers of Features from Tiny Images
9. Gradient-based learning applied to document recognition
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Weakly-Supervised Continual Learning for Class-Incremental Segmentation (2022) — 4 citations