Cyrus Rashtchian
Artificial Intelligence · 2010–2020
A researcher in the Science corpus: 5 papers; trusts 61 researchers and is trusted by 564 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 62 citations into it
- Computer Vision and Pattern Recognition — 39 citations into it; #1,803 of 21,575 by trust here, #2,983 by citations
- Safety, Robustness & Interpretability — 34 citations into it
- Optimization & Training — 9 citations into it
- Natural Language Processing — 6 citations into it; #1,807 of 5,688 by trust here, #956 by citations
- Model Architectures — 5 citations into it
Whom Cyrus Rashtchian trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Chris Callison-Burch
- Kaiming He
- Yoshua Bengio
- Diederik P. Kingma
- Yann LeCun
- Ilya Sutskever
- A. Sorokin
- Ian J. Goodfellow
Who trusts Cyrus Rashtchian overall
- David F. Harwath
- C. Lawrence Zitnick
- Xinlei Chen
- Micah Hodosh
- Mateusz Malinowski
- Benjamin Klein
- Devi Parikh
- Richard Socher
- Andrej Karpathy
- Oriol Vinyals
Papers from Cyrus Rashtchian's perspective
Ordered by how strongly the researchers Cyrus Rashtchian trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Every Picture Tells a Story: Generating Sentences from Images (2010) — 1,284 citations
- Cross-Caption Coreference Resolution for Automatic Image Understanding (2010) — 14 citations
- A Closer Look at Accuracy vs. Robustness (2020) — 328 citations
- Random access in large-scale DNA data storage (2018) — 744 citations
- Collecting Image Annotations Using Amazon’s Mechanical Turk (2010) — 753 citations