Vinod Ganapathy

Artificial Intelligence · 2019

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

Subfields

• Artificial Intelligence — 26 citations into it; #33,871 of 35,345 by trust here, #28,481 by citations
• Computer Vision and Pattern Recognition — 10 citations into it
• Natural Language Processing — 8 citations into it
• Evaluation & Benchmarks — 5 citations into it

Whom Vinod Ganapathy trusts overall

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

1. Alex Krizhevsky
2. Diederik P. Kingma

Who trusts Vinod Ganapathy overall

1. Nicolas Papernot

Papers from Vinod Ganapathy's perspective

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

1. Gradient-based learning applied to document recognition
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Learning Multiple Layers of Features from Tiny Images
4. ImageNet Large Scale Visual Recognition Challenge
5. ImageNet classification with deep convolutional neural networks
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Efficient Estimation of Word Representations in Vector Space
10. Explaining and Harnessing Adversarial Examples

Their papers

• A framework for the extraction of Deep Neural Networks by leveraging public data (2019) — 63 citations