Nazneen Fatema Rajani and Raymond J. Mooney
Computer Vision and Pattern Recognition · 2017
A researcher in the Science corpus: 2 papers; trusts 462 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 27 citations into it
- Artificial Intelligence — 25 citations into it
- Multimodal Learning — 11 citations into it
- Natural Language Processing — 7 citations into it
- Safety, Robustness & Interpretability — 6 citations into it
Whom Nazneen Fatema Rajani and Raymond J. Mooney trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Nazneen Rajani
- Karen Simonyan
- Raymond J. Mooney
- Sepp Hochreiter
- Mark J van Rossum
- Geoffrey E. Hinton
- Andrew Zisserman
- Kaiming He
- Aishwarya Agrawal
- Alex Krizhevsky
Who trusts Nazneen Fatema Rajani and Raymond J. Mooney overall
Papers from Nazneen Fatema Rajani and Raymond J. Mooney's perspective
Ordered by how strongly the researchers Nazneen Fatema Rajani and Raymond J. Mooney 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)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Using Explanations to Improve Ensembling of Visual Question Answering Systems (2017) — 12 citations
- Ensembling Visual Explanations for VQA (2017) — 6 citations