Hrishikesh Khandeparkar
Artificial Intelligence · 2019
A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 16 citations into it; #30,531 of 35,345 by trust here, #9,557 by citations
- Representation & Self-Supervised Learning — 12 citations into it; #2,764 of 3,145 by trust here, #1,246 by citations
- Computer Vision and Pattern Recognition — 7 citations into it; #18,696 of 21,575 by trust here, #6,737 by citations
Whom Hrishikesh Khandeparkar trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Nitish Srivastava
- Karen Simonyan
- Alex Krizhevsky
- Geoffrey E. Hinton
- Yoshua Bengio
- Jeffrey Pennington
- Andrew Zisserman
- Ilya Sutskever
- Jacob Devlin
- Lajanugen Logeswaran
Who trusts Hrishikesh Khandeparkar overall
Papers from Hrishikesh Khandeparkar's perspective
Ordered by how strongly the researchers Hrishikesh Khandeparkar 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)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
Their papers
- A Theoretical Analysis of Contrastive Unsupervised Representation Learning (2019) — 910 citations