Adithya Renduchintala

Artificial Intelligence · 2018–2021

A researcher in the Science corpus: 6 papers; trusts 144 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 118 citations into it; #9,927 of 35,345 by trust here, #7,346 by citations
• Natural Language Processing — 89 citations into it; #3,458 of 5,688 by trust here, #4,449 by citations
• Signal Processing — 44 citations into it; #5,234 of 7,572 by trust here, #1,147 by citations
• Speech & Audio — 42 citations into it; #480 of 1,076 by trust here, #336 by citations
• Computer Vision and Pattern Recognition — 25 citations into it; #13,625 of 21,575 by trust here, #19,310 by citations
• Model Architectures — 20 citations into it
• Safety, Robustness & Interpretability — 17 citations into it
• Evaluation & Benchmarks — 12 citations into it

Whom Adithya Renduchintala trusts overall

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

1. Yoshua Bengio
2. Dzmitry Bahdanau
3. Geoffrey E. Hinton
4. Jan Chorowski
5. Alex Graves
6. Shinji Watanabe
7. Kyunghyun Cho
8. Matthew D. Zeiler
9. Diederik P. Kingma
10. Ilya Sutskever

Who trusts Adithya Renduchintala overall

1. Jinyu Li
2. Shinji Watanabe
3. Eric Michael Smith
4. Murali Karthick Baskar
5. Steven Y. Feng
6. Matthew Wiesner
7. Yun Tang
8. Adina Williams
9. Igor M. Quintanilha
10. Tomoki Hayashi

Papers from Adithya Renduchintala's perspective

Ordered by how strongly the researchers Adithya Renduchintala 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. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• ESPnet: End-to-End Speech Processing Toolkit (2018) — 1,730 citations
• Multi-Modal Data Augmentation for End-to-end ASR (2018) — 40 citations
• Investigating Failures of Automatic Translation in the Case of Unambiguous Gender (2021) — 28 citations
• A Call for Prudent Choice of Subword Merge Operations in Neural Machine Translation (2019) — 73 citations
• Low Resource Multi-modal Data Augmentation for End-to-end ASR (2018) — 29 citations
• Pretraining by Backtranslation for End-to-End ASR in Low-Resource Settings (2018) — 7 citations