Vasudeva Varma
Artificial Intelligence · 2013–2019
A researcher in the Science corpus: 5 papers; trusts 70 researchers and is trusted by 22 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 55 citations into it; #9,114 of 35,345 by trust here, #8,439 by citations
- Natural Language Processing — 33 citations into it; #4,098 of 5,688 by trust here, #4,682 by citations
- Information Systems — 19 citations into it
- Safety, Robustness & Interpretability — 15 citations into it; #1,851 of 2,251 by trust here, #2,161 by citations
- Representation & Self-Supervised Learning — 13 citations into it
- Computer Vision and Pattern Recognition — 9 citations into it
- AI Ethics, Fairness & Society — 8 citations into it
- Safety Research — 5 citations into it
Whom Vasudeva Varma trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Tomas Mikolov
- Geoffrey E. Hinton
- Diederik P. Kingma
- Yoshua Bengio
- Yoon Kim
- Jeffrey Pennington
- Ilya Sutskever
- Alex Graves
- Richard Socher
- Alex Krizhevsky
Who trusts Vasudeva Varma overall
Papers from Vasudeva Varma's perspective
Ordered by how strongly the researchers Vasudeva Varma 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- 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
- Interpretation of Semantic Tweet Representations (2017) — 8 citations
- MVAE: Multimodal Variational Autoencoder for Fake News Detection (2019) — 840 citations
- Stereotypical Bias Removal for Hate Speech Detection Task using Knowledge-based Generalizations (2019) — 111 citations
- Deep Learning for Hate Speech Detection in Tweets (2017) — 1,283 citations
- Author Profiling: Predicting Age and Gender from Blogs Notebook for PAN at CLEF 2013 (2013) — 67 citations