Raja Chatila
Artificial Intelligence · 2019
A researcher in the Science corpus: 2 papers; trusts 31 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 265 citations into it
- Safety, Robustness & Interpretability — 183 citations into it
- Computer Vision and Pattern Recognition — 100 citations into it
- Health Informatics — 12 citations into it
- Knowledge Graphs & Representation — 12 citations into it
Whom Raja Chatila trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Raja Chatila's perspective
Ordered by how strongly the researchers Raja Chatila 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)
- Gradient-based learning applied to document recognition
- Visualizing and Understanding Convolutional Networks
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI (2019) — 9,028 citations
- Towards Explainable Neural-Symbolic Visual Reasoning (2019) — 47 citations