Rohit Kumar Kaliyar
Artificial Intelligence · 2020–2021
A researcher in the Science corpus: 2 papers; trusts 37 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 30 citations into it
- Sociology and Political Science — 23 citations into it
- Information Systems — 20 citations into it
- Natural Language Processing — 20 citations into it
- Statistical and Nonlinear Physics — 8 citations into it
- Computer Vision and Pattern Recognition — 6 citations into it
- Safety, Robustness & Interpretability — 6 citations into it
- Signal Processing — 6 citations into it
Whom Rohit Kumar Kaliyar trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kai Shu
- Junbo Jake Zhao
- Yuanzhi Li
- Yang Liu
- Xinyi Zhou
- Yann LeCun
- Jacob Devlin
- Natali Ruchansky
- Hadeer Ahmed
- Carlos Castillo
Who trusts Rohit Kumar Kaliyar overall
Papers from Rohit Kumar Kaliyar's perspective
Ordered by how strongly the researchers Rohit Kumar Kaliyar 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
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- 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
- FNDNet - A deep convolutional neural network for fake news detection (2020) — 366 citations
- FakeBERT: Fake news detection in social media with a BERT-based deep learning approach (2021) — 723 citations