Abhishek Kumar
Artificial Intelligence · with Akhtar · 2017
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
- Artificial Intelligence — 15 citations into it
Whom Abhishek Kumar trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Yoshua Bengio
- Alex Smola
- Xavier Glorot
- Alex Krizhevsky
- Pascal Vincent
- Jimmy Ba
- Ilya Sutskever
- Nitish Srivastava
Who trusts Abhishek Kumar overall
Papers from Abhishek Kumar's perspective
Ordered by how strongly the researchers Abhishek Kumar trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Dropout: a simple way to prevent neural networks from overfitting
- Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)