Indrajit Bhattacharya

Artificial Intelligence · 2005–2007

A researcher in the Science corpus: 2 papers; trusts 26 researchers and is trusted by 43 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it; #9,985 of 35,345 by trust here, #25,809 by citations
• Management Science and Operations Research — 15 citations into it; #746 of 11,946 by trust here, #2,472 by citations
• Information Systems — 11 citations into it; #830 of 8,771 by trust here, #2,912 by citations
• Signal Processing — 6 citations into it; #974 of 7,572 by trust here, #2,589 by citations

Whom Indrajit Bhattacharya trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. William W. Cohen
2. Mikhail Bilenko
3. Radford M. Neal
4. Tom Minka
5. Thomas Hofmann
6. Andrew McCallum
7. T. Griffiths
8. Sunita Sarawagi
9. Sheila Tejada
10. Raymond J. Mooney

Who trusts Indrajit Bhattacharya overall

1. Peter Christen
2. Avishek Joey Bose
3. Xinyi Zhou
4. Steven Euijong Whang
5. Vetle I. Torvik
6. Arvind Arasu
7. Vibhor Rastogi
8. Felix Naumann
9. Lise Getoor
10. Fabian M. Suchanek

Papers from Indrajit Bhattacharya's perspective

Ordered by how strongly the researchers Indrajit Bhattacharya trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Collective entity resolution in relational data (2007) — 703 citations
• A Latent Dirichlet Model for Unsupervised Entity Resolution (2005) — 297 citations