Manish Kesarwani

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 18 citations into it; #31,722 of 35,345 by trust here, #27,551 by citations
• Safety, Robustness & Interpretability — 18 citations into it

Whom Manish Kesarwani trusts overall

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

1. Geoffrey E. Hinton
2. J. Ross Quinlan
3. Ian J. Goodfellow
4. Nicolas Papernot
5. Blaine Nelson
6. Battista Biggio
7. Daniel Lowd
8. Matt Fredrikson
9. Nicholas Frosst
10. Richard Maclin

Who trusts Manish Kesarwani overall

1. Franziska Boenisch
2. Sebastian Szyller
3. Matthew Jagielski
4. Buse Gul Atli

Papers from Manish Kesarwani's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. Distilling the Knowledge in a Neural Network (arXiv.org)
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Model Extraction Warning in MLaaS Paradigm (2017) — 161 citations