Prithviraj Sen
Artificial Intelligence · 2007–2020
A researcher in the Science corpus: 5 papers; trusts 27 researchers and is trusted by 104 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 62 citations into it; #14,724 of 35,345 by trust here, #18,186 by citations
- Natural Language Processing — 29 citations into it
- Computer Vision and Pattern Recognition — 17 citations into it
- Information Systems — 17 citations into it
- Probabilistic & Bayesian Methods — 17 citations into it
- Computer Networks and Communications — 14 citations into it; #3,366 of 9,886 by trust here, #7,832 by citations
- Graph Learning — 6 citations into it; #57 of 693 by trust here, #59 by citations
- Molecular Biology — 6 citations into it
Whom Prithviraj Sen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- B. Taskar
- Julian Besag
- Jennifer Neville
- Michael I. Jordan
- Jeffrey Scott Vitter
- Daphne Koller
- David D. Jensen
- Andrew McCallum
- Qing Lu
- Lise Getoor
Who trusts Prithviraj Sen overall
- Thomas Kipf
- Jiaxuan You
- Matthias Fey
- Hongyang Gao
- Federico Monti
- Jure Leskovec
- Michael M. Bronstein
- Qimai Li
- Charu C. Aggarwal
- Petar Velickovic
Papers from Prithviraj Sen's perspective
Ordered by how strongly the researchers Prithviraj Sen trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
Their papers
- A Survey of the State of Explainable AI for Natural Language Processing (2020) — 470 citations
- SystemML: Declarative Machine Learning on Spark (2016) — 232 citations
- Collective Classification in Network Data (2008) — 4,707 citations
- Collective Classi!cation in Network Data (2008) — 1,758 citations
- Representing and Querying Correlated Tuples in Probabilistic Databases (2007) — 273 citations