Revanth Reddy Gangi Reddy
Artificial Intelligence · 2018–2021
A researcher in the Science corpus: 4 papers; trusts 26 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 82 citations into it; #30,718 of 35,345 by trust here, #21,316 by citations
- Natural Language Processing — 61 citations into it
- Computer Vision and Pattern Recognition — 45 citations into it
- Information Retrieval & Search — 14 citations into it
Whom Revanth Reddy Gangi Reddy trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Geoffrey E. Hinton
- Diederik P. Kingma
- Alex Krizhevsky
- Ilya Sutskever
- Kenton C. T. Lee
- Yann LeCun
- Kaiming He
- Richard Socher
- Patrick Lewis
Who trusts Revanth Reddy Gangi Reddy overall
- Andrea Madotto
- Min Yang
- Bowen Qin
- Wanwei He
- Wayne Xin Zhao
- Jian Wang
- W. Yu
- Ori Ram
- Wenhu Chen
- Zhaojiang Lin
Papers from Revanth Reddy Gangi Reddy's perspective
Ordered by how strongly the researchers Revanth Reddy Gangi Reddy 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- 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)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- MuMuQA: Multimedia Multi-Hop News Question Answering via Cross-Media Knowledge Extraction and Grounding (2021) — 37 citations
- Towards Robust Neural Retrieval Models with Synthetic Pre-Training (2021) — 15 citations
- Multi-Stage Pretraining for Low-Resource Domain Adaptation (2020) — 48 citations
- Multi-Level Memory for Task Oriented Dialogs (2018) — 63 citations