Rumi Chunara
Artificial Intelligence · 2019–2020
A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 86 citations into it
- Probabilistic & Bayesian Methods — 24 citations into it
- Causal Inference & Discovery — 7 citations into it
- Computational Theory and Mathematics — 6 citations into it
Whom Rumi Chunara trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Rumi Chunara's perspective
Ordered by how strongly the researchers Rumi Chunara 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)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Pattern Recognition and Machine Learning
- Learning Multiple Layers of Features from Tiny Images
- Long Short-Term Memory
- Equality of Opportunity in Supervised Learning
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Bayesian learning for neural networks
Their papers
- Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty (2020) — 336 citations
- Fairness Violations and Mitigation under Covariate Shift (2019) — 109 citations