Sarit Khirirat
Artificial Intelligence · 2018
A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 28 citations into it; #20,767 of 35,345 by trust here, #13,163 by citations
- Optimization & Training — 25 citations into it; #2,062 of 2,601 by trust here, #1,365 by citations
- Computer Vision and Pattern Recognition — 15 citations into it
- Computational Mechanics — 9 citations into it; #5,667 of 10,001 by trust here, #2,407 by citations
- ML Systems & Hardware — 9 citations into it
Whom Sarit Khirirat trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Paul Tseng
- Jianqiao Wangni
- Frank Torsten Bernd Seide
- Yurii E. Nesterov
- Alex Krizhevsky
- Wujie Wen
- Sangwoon Yun
- Ohad Shamir
- Kaiming He
- Geoffrey E. Hinton
Who trusts Sarit Khirirat overall
- Zhize Li
- Samuel Horváth
- Peter Richtárik
- Dmitry Kovalev
- Sebastian U. Stich
- Ahmed Khaled
- Kumar Kshitij Patel
- Anastasia Koloskova
Papers from Sarit Khirirat's perspective
Ordered by how strongly the researchers Sarit Khirirat 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
- Learning Multiple Layers of Features from Tiny Images
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- The Convergence of Sparsified Gradient Methods (2018) — 553 citations
- Distributed learning with compressed gradients (2018) — 92 citations