Deepak Kumar Sharma
Artificial Intelligence · 2021
A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 31 citations into it
- Safety, Robustness & Interpretability — 29 citations into it
Whom Deepak Kumar Sharma trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Faisal Kamiran
- Ron Kohavi
- Toon Calders
- Xavier Glorot
- Yoshua Bengio
- Richard S. Zemel
- Moritz Hardt
- Geoffrey E. Hinton
- Hyunjik Kim
- Elliot Creager
Papers from Deepak Kumar Sharma's perspective
Ordered by how strongly the researchers Deepak Kumar Sharma 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- GENERATIVE ADVERSARIAL NETS
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- 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)