Krishnaprasad Thirunarayan
Artificial Intelligence · 2008–2019
A researcher in the Science corpus: 12 papers; trusts 27 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 103 citations into it; #13,196 of 35,345 by trust here, #13,962 by citations
- Natural Language Processing — 44 citations into it
- Representation & Self-Supervised Learning — 17 citations into it
- Statistical and Nonlinear Physics — 17 citations into it
- Social Psychology — 15 citations into it
- Management Science and Operations Research — 13 citations into it
- Experimental and Cognitive Psychology — 11 citations into it
- Molecular Biology — 7 citations into it; #12,782 of 17,773 by trust here, #16,150 by citations
Whom Krishnaprasad Thirunarayan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Amit P. Sheth
- Tomas Mikolov
- Geoffrey E. Hinton
- Richard Socher
- Jeffrey Pennington
- Yoshua Bengio
- Ilya Sutskever
- Liangjie Hong
- Diederik P. Kingma
- M. de Choudhury
Who trusts Krishnaprasad Thirunarayan overall
Papers from Krishnaprasad Thirunarayan's perspective
Ordered by how strongly the researchers Krishnaprasad Thirunarayan 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)
- Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- GloVe: Global Vectors for Word Representation
- Efficient Estimation of Word Representations in Vector Space
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- "Let Me Tell You About Your Mental Health!": Contextualized Classification of Reddit Posts to DSM-5 for Web-based Intervention (2018) — 112 citations
- Knowledge-aware Assessment of Severity of Suicide Risk for Early Intervention (2019) — 223 citations
- Knowledge will Propel Machine Understanding of Content: Extrapolating from Current Examples (2016) — 23 citations
- Modeling Islamist Extremist Communications on Social Media using Contextual Dimensions (2019) — 62 citations
- Context-Driven Automatic Subgraph Creation for Literature-Based Discovery (2015) — 91 citations
- Predictive Analysis on Twitter: Techniques and Applications (2018) — 19 citations
- What's ur Type? Contextualized Classification of User Types in Marijuana-Related Communications Using Compositional Multiview Embedding (2018) — 19 citations
- Domain-Specific Use Cases for Knowledge-Enabled Social Media Analysis (2018) — 9 citations
- Implicit Entity Linking in Tweets (2016) — 31 citations
- Semantics Empowered Web 3.0: Managing Enterprise, Social, Sensor, and Cloud-based Data and Services for Advanced Applications (2012) — 40 citations
- Harnessing Twitter "Big Data" for Automatic Emotion Identification (2012) — 387 citations
- The Semantic Web - ISWC 2008, 7th International Semantic Web Conference, ISWC 2008, Karlsruhe, Germany, October 26-30, 2008. Proceedings (2008) — 325 citations