Siddharth Krishna
Artificial Intelligence · 2017–2021
A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 25 citations into it
- Hardware and Architecture — 11 citations into it
- Computer Vision and Pattern Recognition — 9 citations into it
- Computational Theory and Mathematics — 8 citations into it
- Computer Networks and Communications — 5 citations into it
Whom Siddharth Krishna trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Matei A. Zaharia
- D. Narayanan
- Alex Krizhevsky
- John C. Reynolds
- William Fedus
- Samyam Rajbhandari
- Kenneth L. McMillan
Papers from Siddharth Krishna's perspective
Ordered by how strongly the researchers Siddharth Krishna 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
- Attention is All you Need (Neural Information Processing Systems)
- Language Models are Few-Shot Learners (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Going deeper with convolutions
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
Their papers
- DistIR: An Intermediate Representation for Optimizing Distributed Neural Networks (2021) — 21 citations
- Learning Shape Analysis (2017) — 18 citations