Atmesh Mahapatra
Artificial Intelligence · 2023
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 60 citations into it
- Statistics and Probability — 6 citations into it
Whom Atmesh Mahapatra trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Jerome H. Friedman
- Yoshua Bengio
- Christian Szegedy
- Alex Krizhevsky
- Ian J. Goodfellow
- Ilya Sutskever
- Trevor J. Hastie
- Leo Breiman
- Virginia Dignum
Papers from Atmesh Mahapatra's perspective
Ordered by how strongly the researchers Atmesh Mahapatra 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)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Distilling the Knowledge in a Neural Network (arXiv.org)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Interpreting Black-Box Models: A Review on Explainable Artificial Intelligence (2023) — 1,661 citations