Piotr A. Sokól
Artificial Intelligence · 2018
A researcher in the Science corpus: 1 paper; trusts 45 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 24 citations into it; #24,748 of 35,345 by trust here, #34,213 by citations
- Optimization & Training — 16 citations into it
- Scaling & Learning Theory — 10 citations into it
- Model Architectures — 9 citations into it
- Statistical and Nonlinear Physics — 8 citations into it
- Computer Vision and Pattern Recognition — 7 citations into it; #15,305 of 21,575 by trust here, #21,103 by citations
- Statistical Learning Theory — 5 citations into it
Whom Piotr A. Sokól trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jeffrey Pennington
- Diederik P. Kingma
- Sam Schoenholz
- Felix Opitz
- James Martens
- Tim Salimans
- Radford M. Neal
- Jaehoon Lee
- Geoffrey E. Hinton
- Surya Ganguli
Who trusts Piotr A. Sokól overall
Papers from Piotr A. Sokól's perspective
Ordered by how strongly the researchers Piotr A. Sokól trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Information Geometry of Orthogonal Initializations and Training (2018) — 17 citations