Varun Jog

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 13 citations into it; #21,590 of 35,345 by trust here, #29,412 by citations
• Computational Mechanics — 10 citations into it
• Optimization & Training — 6 citations into it
• Statistics and Probability — 6 citations into it; #7,965 of 12,932 by trust here, #9,233 by citations

Whom Varun Jog trusts overall

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

1. Ben London
2. Max Welling
3. Rong Ge
4. Daniel Russo
5. Aolin Xu
6. Chi Jin
7. Moritz Hardt
8. Tianqi Chen
9. Wenlong Mou
10. Shai Shalev-Shwartz

Who trusts Varun Jog overall

1. Alessandro Achille
2. Jingwei Zhang
3. Jeffrey Negrea

Papers from Varun Jog's perspective

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

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

Their papers

• Generalization Error Bounds for Noisy, Iterative Algorithms (2018) — 130 citations