Farhan Abrol

Artificial Intelligence · 2014

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 6 citations into it
• Probabilistic & Bayesian Methods — 6 citations into it

Whom Farhan Abrol trusts overall

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

1. David M. Blei
2. Zoubin Ghahramani
3. Geoffrey E. Hinton
4. Radford M. Neal
5. Michael I. Jordan
6. Matthew D. Hoffman
7. Finale Doshi-Velez
8. Andrew Y. Ng

Papers from Farhan Abrol's perspective

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

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

Their papers

• Variational Tempering (2014) — 61 citations
• Multicanonical Stochastic Variational Inference (2014)