Jianmin Chen
Artificial Intelligence · with Monga · 2016
A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 34 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 47 citations into it; #34,165 of 35,345 by trust here, #740 by citations
- Optimization & Training — 30 citations into it; #806 of 2,601 by trust here, #521 by citations
- ML Systems & Hardware — 26 citations into it; #571 of 575 by trust here, #24 by citations
- Computer Networks and Communications — 11 citations into it; #1,375 of 9,886 by trust here, #585 by citations
- Information Systems — 11 citations into it
Whom Jianmin Chen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Joseph Dean
- John C. Duchi
- Geoffrey E. Hinton
- Christian Szegedy
- Alex Krizhevsky
- Yoshua Bengio
- Jimmy Ba
- Sergey Ioffe
- Alex Graves
Who trusts Jianmin Chen overall
- Yang You
- Jakub Konecný
- Otkrist Gupta
- Lingjiao Chen
- Praneeth Vepakomma
- Zhao Zhang
- Yoshua Bengio
- Cho-Jui Hsieh
- El Mahdi El Mhamdi
- Jihong Park
Papers from Jianmin Chen's perspective
Ordered by how strongly the researchers Jianmin Chen 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)
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
Their papers
- TensorFlow: A system for large-scale machine learning (2016) — 19,838 citations
- Revisiting Distributed Synchronous SGD (2016) — 850 citations