Abhinav Sethy
Artificial Intelligence · 2003–2019
A researcher in the Science corpus: 4 papers; trusts 30 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 43 citations into it; #25,754 of 35,345 by trust here, #18,586 by citations
- Signal Processing — 21 citations into it
- Computer Vision and Pattern Recognition — 18 citations into it
- Natural Language Processing — 16 citations into it
- Model Architectures — 10 citations into it
- Optimization & Training — 9 citations into it
- Efficiency & Compression — 8 citations into it
Whom Abhinav Sethy trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Yann LeCun
- Oriol Vinyals
- Yoon Kim
- James Martens
- Alex Graves
- Diederik P. Kingma
- Alex Krizhevsky
- Cristian Bucila
Who trusts Abhinav Sethy overall
Papers from Abhinav Sethy's perspective
Ordered by how strongly the researchers Abhinav Sethy trusts endorse each paper. Same corpus, a different order for every researcher.
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Multilingual representations for low resource speech recognition and keyword search (2015) — 103 citations
- Knowledge distillation across ensembles of multilingual models for low-resource languages (2017) — 61 citations
- Knowledge Distillation in Document Retrieval (2019) — 7 citations
- An approach to real-time magnetic resonance imaging for speech production. (2003) — 364 citations