V. G. Vinod Vydiswaran
Artificial Intelligence · 2020
A researcher in the Science corpus: 1 paper; trusts 29 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 19 citations into it; #19,145 of 35,345 by trust here, #33,294 by citations
- Natural Language Processing — 14 citations into it; #3,287 of 5,688 by trust here, #5,502 by citations
- Computer Vision and Pattern Recognition — 8 citations into it
- Evaluation & Benchmarks — 6 citations into it
- Large Language Models — 5 citations into it
Whom V. G. Vinod Vydiswaran trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Stephen H. Bach
- Sawan Kumar
- Alec Radford
- Samuel R. Bowman
- Alexander J. Ratner
- Geoffrey E. Hinton
- Nazneen Rajani
- Ilya Sutskever
- Yoshua Bengio
- Richard Socher
Who trusts V. G. Vinod Vydiswaran overall
Papers from V. G. Vinod Vydiswaran's perspective
Ordered by how strongly the researchers V. G. Vinod Vydiswaran 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
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- LIREx: Augmenting Language Inference with Relevant Explanation (2020) — 41 citations