Jared Katzman
Artificial Intelligence · 2016–2023
A researcher in the Science corpus: 3 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 20 citations into it
- Statistics and Probability — 15 citations into it
- Optimization & Training — 11 citations into it
- Model Architectures — 6 citations into it
Whom Jared Katzman trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yurii E. Nesterov
- Geoffrey E. Hinton
- Vinod Nair
- Yoshua Bengio
- James Bergstra
- Diederik P. Kingma
- Sergey Ioffe
- Alex Krizhevsky
- Edward L. Melnick
- Nitish Srivastava
Who trusts Jared Katzman overall
- Håvard Kvamme
- Lev V. Utkin
- Chetan L. Srinidhi
- Zekai Chen
- Wan Zhu
- Changhee Lee
- Jiawen Yao
- Richard J. Chen
- Scott M. Lundberg
- Ping Wang
Papers from Jared Katzman's perspective
Ordered by how strongly the researchers Jared Katzman 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)
- 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
- Long Short-Term Memory
- 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)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)