Apeksha Shewalkar
Artificial Intelligence · 2019
A researcher in the Science corpus: 1 paper; trusts 38 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 22 citations into it
- Natural Language Processing — 15 citations into it
- Model Architectures — 12 citations into it
- Signal Processing — 12 citations into it
- Speech & Audio — 7 citations into it
- Computer Vision and Pattern Recognition — 5 citations into it
Whom Apeksha Shewalkar trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Graves
- J. Urgen Schmidhuber
- Ilya Sutskever
- Oriol Vinyals
- Dzmitry Bahdanau
- Geoffrey E. Hinton
- Yoshua Bengio
- Diederik P. Kingma
- Sepp Hochreiter
- Kyunghyun Cho
Who trusts Apeksha Shewalkar overall
Papers from Apeksha Shewalkar's perspective
Ordered by how strongly the researchers Apeksha Shewalkar 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)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images