Parag Singla
Artificial Intelligence · 2005–2021
A researcher in the Science corpus: 8 papers; trusts 72 researchers and is trusted by 35 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 81 citations into it; #8,374 of 35,345 by trust here, #15,004 by citations
- Natural Language Processing — 53 citations into it
- Computer Vision and Pattern Recognition — 20 citations into it
- Evaluation & Benchmarks — 17 citations into it
- Management Science and Operations Research — 15 citations into it; #1,137 of 11,946 by trust here, #2,728 by citations
- Information Systems — 14 citations into it; #1,264 of 8,771 by trust here, #3,761 by citations
- Probabilistic & Bayesian Methods — 14 citations into it
- Model Architectures — 9 citations into it
Whom Parag Singla trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Pedro M. Domingos
- Matthew Richardson
- Andrew McCallum
- Michael Collins
- Mikhail Bilenko
- Stanley Kok
- Lawrence R. Rabiner
- Julian Besag
- B. Taskar
- Jure Leskovec
Who trusts Parag Singla overall
- Pedro M. Domingos
- Hoifung Poon
- Sriraam Natarajan
- Charu C. Aggarwal
- Mathias Niepert
- Stephen H. Bach
- Fei Wu
- Stanley Kok
- Tushar Khot
- Kristian Kersting
Papers from Parag Singla's perspective
Ordered by how strongly the researchers Parag Singla 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)
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- 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)
- ImageNet: A large-scale hierarchical image database
Their papers
- Entity Resolution with Markov Logic (2006) — 434 citations
- Explanations for CommonsenseQA: New Dataset and Models (2021) — 166 citations
- Yes, there is a correlation: - from social networks to personal behavior on the web (2008) — 364 citations
- Neural Learning of One-of-Many Solutions for Combinatorial Problems in Structured Output Spaces (2020) — 14 citations
- A Primal Dual Formulation For Deep Learning With Constraints (2019) — 122 citations
- Lifted First-Order Belief Propagation (2008) — 300 citations
- The Alchemy System for Statistical Relational AI: User Manual (2007) — 321 citations
- Discriminative Training of Markov Logic Networks (2005) — 309 citations