Nishith Khandwala

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it; #30,197 of 35,345 by trust here, #28,481 by citations
• Computer Vision and Pattern Recognition — 15 citations into it; #18,539 of 21,575 by trust here, #18,266 by citations

Whom Nishith Khandwala trusts overall

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

1. Geoffrey E. Hinton

Who trusts Nishith Khandwala overall

1. Alexander J. Ratner

Papers from Nishith Khandwala's perspective

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

1. Training Products of Experts by Minimizing Contrastive Divergence
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Deep Visual-Semantic Alignments for Generating Image Descriptions
5. Long Short-Term Memory
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations
8. Gradient-based learning applied to document recognition
9. ImageNet: A large-scale hierarchical image database
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Inferring Generative Model Structure with Static Analysis (2017) — 61 citations