Ajay Chander
Artificial Intelligence · 2009–2018
A researcher in the Science corpus: 4 papers; trusts 8 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 49 citations into it; #23,556 of 35,345 by trust here, #20,836 by citations
- Safety, Robustness & Interpretability — 24 citations into it
- Computer Vision and Pattern Recognition — 16 citations into it
- Safety Research — 6 citations into it
- Health Informatics — 5 citations into it
Whom Ajay Chander trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Tim Miller
- Trevor J. Hastie
- Zachary Chase Lipton
- Leo Breiman
- Piers Douglas Lionel Howe
- Finale Doshi-Velez
- Geoffrey E. Hinton
- Housam Khalifa Bashier Babiker
- Pang Wei Koh
- David Alvarez-Melis
Who trusts Ajay Chander overall
Papers from Ajay Chander's perspective
Ordered by how strongly the researchers Ajay Chander 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)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Human-level control through deep reinforcement learning
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Explainable AI: The New 42? (2018) — 298 citations
- Working with Beliefs: AI Transparency in the Enterprise (2018) — 43 citations
- Evaluating Explanations by Cognitive Value (2018) — 19 citations
- Frontiers in Artificial Intelligence and Applications (2009) — 556 citations