Naveen Kodali
Computer Vision and Pattern Recognition · 2017–2018
A researcher in the Science corpus: 2 papers; trusts 17 researchers and is trusted by 25 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 21 citations into it; #16,534 of 21,575 by trust here, #13,815 by citations
- Generative Models — 21 citations into it; #574 of 1,956 by trust here, #668 by citations
- Artificial Intelligence — 19 citations into it; #27,034 of 35,345 by trust here, #20,836 by citations
- Optimization & Training — 12 citations into it
- Management Science and Operations Research — 7 citations into it
- Game & Decision Theory — 6 citations into it
Whom Naveen Kodali trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Nicolò Cesa-Bianchi
- Alec Radford
- Diederik P. Kingma
- Martin A. Zinkevich
- M. Sion
- Ian J. Goodfellow
- Tim Salimans
- M. Serna
- Yoav Freund
- Luke Metz
Who trusts Naveen Kodali overall
- Ngoc-Trung Tran
- Karol Kurach
- Animesh Karnewar
- Mario Lucic
- Yanghua Jin
- Alexia Jolicoeur-Martineau
- Garrett Wilson
- Wengling Chen
- Lars M. Mescheder
- Mingu Kang
Papers from Naveen Kodali's perspective
Ordered by how strongly the researchers Naveen Kodali trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- GENERATIVE ADVERSARIAL NETS
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- How to Train Your DRAGAN (2017) — 89 citations
- On Convergence and Stability of GANs (2018) — 666 citations