Kunal Menda

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 12 citations into it; #22,401 of 35,345 by trust here, #31,361 by citations
• Reinforcement Learning — 11 citations into it

Whom Kunal Menda trusts overall

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

1. Yarin Gal
2. Stefan Schaal
3. John Schulman
4. Geoffrey E. Hinton
5. Craig Boutilier
6. Alex Krizhevsky
7. Nitish Srivastava
8. Sergey Levine
9. Zoubin Ghahramani
10. Diederik P. Kingma

Who trusts Kunal Menda overall

1. Keuntaek Lee
2. Kamil Saigol
3. Stephen Tu
4. Evangelos A. Theodorou
5. Alexander Robey

Papers from Kunal Menda's perspective

Ordered by how strongly the researchers Kunal Menda 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. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. GENERATIVE ADVERSARIAL NETS
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• DropoutDAgger: A Bayesian Approach to Safe Imitation Learning (2017) — 32 citations