Evgheniy Faerman
Artificial Intelligence · 2017
A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 23 citations into it
- Graph Learning — 20 citations into it
- Representation & Self-Supervised Learning — 19 citations into it
- Computer Vision and Pattern Recognition — 12 citations into it
- Statistical and Nonlinear Physics — 11 citations into it
Whom Evgheniy Faerman trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jure Leskovec
- Geoffrey E. Hinton
- Kevin J. Lang
- L. V. D. van der Maaten
- Omer Levy
- Aditya Grover
- Yoshua Bengio
- Glen Jeh
- Julian Shun
- Michael W. Mahoney
Who trusts Evgheniy Faerman overall
Papers from Evgheniy Faerman's perspective
Ordered by how strongly the researchers Evgheniy Faerman trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Going deeper with convolutions
Their papers
- LASAGNE: Locality and Structure Aware Graph Node Embedding (2017) — 18 citations