Kritika Singh

Artificial Intelligence · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 92 citations into it
• Speech & Audio — 51 citations into it
• Signal Processing — 34 citations into it

Whom Kritika Singh trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. Jimmy Ba
4. Daniel Povey
5. Yoshua Bengio
6. Alex Graves
7. Oriol Vinyals
8. Alex Krizhevsky
9. Ilya Sutskever
10. Yann LeCun

Who trusts Kritika Singh overall

1. Alex Xiao

Papers from Kritika Singh's perspective

Ordered by how strongly the researchers Kritika Singh trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale (2021) — 1,102 citations
• Large scale weakly and semi-supervised learning for low-resource video ASR (2020) — 10 citations