Rishit Sheth

Artificial Intelligence · 2015–2017

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 11 citations into it; #15,789 of 35,345 by trust here, #21,878 by citations
• Optimization & Training — 8 citations into it

Whom Rishit Sheth trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Matthias Feurer
2. Jost Tobias Springenberg
3. Lisha Li
4. Neil D. Lawrence
5. Jasper Snoek
6. Frank Hutter
7. James Bergstra
8. Isabelle M Guyon
9. Yoshua Bengio
10. Geoffrey E. Hinton

Who trusts Rishit Sheth overall

1. Joaquin Vanschoren
2. Laura Gustafson
3. Yolanda Gil
4. Valerio Perrone
5. Radwa El Shawi
6. Yi-Wei Chen
7. Matthias Feurer
8. Muhan Zhang

Papers from Rishit Sheth's perspective

Ordered by how strongly the researchers Rishit Sheth trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Learning Multiple Layers of Features from Tiny Images
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Long Short-Term Memory
10. Going deeper with convolutions

Their papers

• Probabilistic Matrix Factorization for Automated Machine Learning (2017) — 146 citations
• Sparse Variational Inference for Generalized GP Models (2015) — 28 citations