Ananya Misra

Artificial Intelligence · 2003–2020

A researcher in the Science corpus: 6 papers; trusts 21 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 92 citations into it; #17,344 of 35,345 by trust here, #10,065 by citations
• Signal Processing — 79 citations into it; #3,521 of 7,572 by trust here, #1,273 by citations
• Speech & Audio — 48 citations into it; #607 of 1,076 by trust here, #420 by citations
• Computer Vision and Pattern Recognition — 14 citations into it

Whom Ananya Misra trusts overall

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

1. Tara N. Sainath
2. Andrew W. Senior
3. Geoffrey E. Hinton
4. Dong Yu
5. Yoshua Bengio
6. Alex Graves
7. Hank Liao
8. Brian Kingsbury
9. Alex Krizhevsky
10. Yusuke Shinohara

Who trusts Ananya Misra overall

1. Tara N. Sainath
2. Arun Narayanan
3. Bo Li
4. Rohit Prabhavalkar
5. Roza Chojnacka
6. Yu Zhang
7. Daniel S. Park
8. Yizhou Qian
9. Chung-Cheng Chiu
10. Yanzhang He

Papers from Ananya Misra's perspective

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

1. Long Short-Term Memory
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Dropout: a simple way to prevent neural networks from overfitting
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Toward Domain-Invariant Speech Recognition via Large Scale Training (2018) — 114 citations
• Generation of Large-Scale Simulated Utterances in Virtual Rooms to Train Deep-Neural Networks for Far-Field Speech Recognition in Google Home (2017) — 247 citations
• Multichannel Signal Processing With Deep Neural Networks for Automatic Speech Recognition (2017) — 213 citations
• Improving Streaming Automatic Speech Recognition with Non-Streaming Model Distillation on Unsupervised Data (2020) — 26 citations
• Domain Adaptation Using Factorized Hidden Layer for Robust Automatic Speech Recognition (2018) — 37 citations
• Identifying and correcting Java programming errors for introductory computer science students (2003) — 307 citations