Aditya Kunar

Generative Models · 2021

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Generative Models — 11 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it

Whom Aditya Kunar trusts overall

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

1. Tero Karras
2. Martín Arjovsky
3. Lei Xu
4. Justin Engelmann
5. Samuli Laine
6. Augustus Odena
7. Ishaan Gulrajani
8. Zinan Lin
9. Ruoxi Wang
10. Alexandre Yahi

Papers from Aditya Kunar's perspective

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

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

Their papers

• CTAB-GAN: Effective Table Data Synthesizing (2021) — 328 citations