Abhishek V A
Artificial Intelligence · 2022
A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 18 citations into it
- Optimization & Training — 11 citations into it
Whom Abhishek V A trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Sebastian Ruder
- Ning Qian
- Diederik P. Kingma
- H. Brendan McMahan
- Keke Chen
- Jakub Konecný
- Jimmy Ba
- Rong-En Fan
- Geoffrey E. Hinton
- Yurii E. Nesterov
Who trusts Abhishek V A overall
- Priyanka Mary Mammen
- Saber Salehkaleybar
- Jed Mills
- Badih Ghazi
- Virat Shejwalkar
- Nikola Konstantinov
- Avishek Ghosh
- Mingzhe Chen
- Xiangyi Chen
- Xinchi Qiu
Papers from Abhishek V A's perspective
Ordered by how strongly the researchers Abhishek V A trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- 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
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)