Suvir Mirchandani
Artificial Intelligence · 2021–2024
A researcher in the Science corpus: 3 papers; trusts 25 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 52 citations into it
- Computer Vision and Pattern Recognition — 48 citations into it
- Reinforcement Learning — 38 citations into it
- Natural Language Processing — 26 citations into it
- Robotics & Control — 11 citations into it
Whom Suvir Mirchandani trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- J. Urgen Schmidhuber
- Andrew Y. Ng
- Geoffrey E. Hinton
- Yoshua Bengio
- Richard S. Sutton
- Diederik P. Kingma
- Alex Krizhevsky
- John Schulman
- Dzmitry Bahdanau
- Yann LeCun
Who trusts Suvir Mirchandani overall
Papers from Suvir Mirchandani's perspective
Ordered by how strongly the researchers Suvir Mirchandani 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)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- On the Opportunities and Risks of Foundation Models (2021) — 6,923 citations
- ELLA: Exploration through Learned Language Abstraction (2021) — 64 citations
- DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset (2024) — 905 citations