Ashutosh Kakadiya

Generative Models · 2018

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

Subfields

• Generative Models — 10 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it; #20,314 of 21,575 by trust here, #21,103 by citations
• Artificial Intelligence — 8 citations into it

Whom Ashutosh Kakadiya trusts overall

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

1. Diederik P. Kingma
2. Mehdi Mirza
3. Ian J. Goodfellow
4. Max Welling
5. Geoffrey E. Hinton
6. William Fedus

Who trusts Ashutosh Kakadiya overall

1. Sergey I. Nikolenko

Papers from Ashutosh Kakadiya's perspective

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

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

Their papers

• Correlated discrete data generation using adversarial training (2018) — 20 citations