Rohitash Chandra
Artificial Intelligence · 2021–2023
A researcher in the Science corpus: 2 papers; trusts 86 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 108 citations into it
- Computer Vision and Pattern Recognition — 45 citations into it
- Information Systems — 18 citations into it
- Optimization & Training — 14 citations into it
- Statistical Learning Theory — 12 citations into it
- Statistics and Probability — 12 citations into it
- Evaluation & Benchmarks — 10 citations into it
- Media Technology — 10 citations into it
Whom Rohitash Chandra trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Diederik P. Kingma
- Jerome H. Friedman
- Leo Breiman
- Yann LeCun
- Yoshua Bengio
- J. Ross Quinlan
- J. Urgen Schmidhuber
- Trevor J. Hastie
- Alex Krizhevsky
Papers from Rohitash Chandra's perspective
Ordered by how strongly the researchers Rohitash Chandra 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)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)