Rupayan Chakraborty
Artificial Intelligence · 2018
A researcher in the Science corpus: 2 papers; trusts 48 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 24 citations into it
- Computer Vision and Pattern Recognition — 24 citations into it
- Multimodal Learning — 13 citations into it
- Natural Language Processing — 8 citations into it
- Representation & Self-Supervised Learning — 7 citations into it
- Signal Processing — 6 citations into it
Whom Rupayan Chakraborty trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Amir Zadeh
- Alex Graves
- Soujanya Poria
- Geoffrey E. Hinton
- Yoshua Bengio
- Diederik P. Kingma
- J. Urgen Schmidhuber
- Louis-philippe Morency
- Alex Krizhevsky
- Galen Andrew
Who trusts Rupayan Chakraborty overall
Papers from Rupayan Chakraborty's perspective
Ordered by how strongly the researchers Rupayan Chakraborty trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- 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
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)