Rohan Paul
Natural Language Processing · 2009–2018
A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Natural Language Processing — 28 citations into it
Whom Rohan Paul trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Rohan Paul overall
Papers from Rohan Paul's perspective
Ordered by how strongly the researchers Rohan Paul 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
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- GloVe: Global Vectors for Word Representation
- ImageNet: A large-scale hierarchical image database
- 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)
Their papers
- Efficient grounding of abstract spatial concepts for natural language interaction with robot platforms (2018) — 70 citations
- The New College Vision and Laser Data Set (2009) — 343 citations
- Grounding Robot Plans from Natural Language Instructions with Incomplete World Knowledge (2018) — 49 citations