Soumen Chakrabarti
Artificial Intelligence · 2000–2021
A researcher in the Science corpus: 13 papers; trusts 134 researchers and is trusted by 40 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 100 citations into it; #7,779 of 35,345 by trust here, #6,956 by citations
- Natural Language Processing — 41 citations into it; #3,770 of 5,688 by trust here, #4,682 by citations
- Computer Vision and Pattern Recognition — 36 citations into it
- Information Systems — 27 citations into it; #746 of 8,771 by trust here, #772 by citations
- Representation & Self-Supervised Learning — 20 citations into it; #2,506 of 3,145 by trust here, #1,781 by citations
- Computer Networks and Communications — 14 citations into it; #3,088 of 9,886 by trust here, #2,300 by citations
- Signal Processing — 14 citations into it; #2,128 of 7,572 by trust here, #1,669 by citations
- Information Retrieval & Search — 13 citations into it; #543 of 1,022 by trust here, #771 by citations
Whom Soumen Chakrabarti trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Thorsten Joachims
- Yiming Yang
- Arthur P. Dempster
- Geoffrey E. Hinton
- Yoshua Bengio
- Yann LeCun
- Alex Krizhevsky
- Diederik P. Kingma
- Kaiming He
- Ilya Sutskever
Who trusts Soumen Chakrabarti overall
- Xiaoguang Qi
- Mandar Joshi
- Vagelis Hristidis
- Partha P. Talukdar
- Johannes Hoffart
- R. Kosala
- Fabian M. Suchanek
- Bhavana Dalvi
- Kaiyang Zhou
- Uma Sawant
Papers from Soumen Chakrabarti's perspective
Ordered by how strongly the researchers Soumen Chakrabarti 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- 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)
Their papers
- Generalizing Across Domains via Cross-Gradient Training (2018) — 586 citations
- Collective annotation of Wikipedia entities in web text (2009) — 496 citations
- Knowledge Graph and Corpus Driven Segmentation and Answer Inference for Telegraphic Entity-seeking Queries (2014) — 43 citations
- Collective Entity Resolution with Multi-Focal Attention (2016) — 107 citations
- Learning joint query interpretation and response ranking (2012) — 51 citations
- Question Answering Over Temporal Knowledge Graphs (2021) — 203 citations
- Learning to rank for quantity consensus queries (2009) — 30 citations
- Annotating and searching web tables using entities, types and relationships (2010) — 475 citations
- Proceedings of the 19th international conference on World wide web (2010) — 137 citations
- Bidirectional Expansion For Keyword Search on Graph Databases (2005) — 595 citations
- Mining the web - discovering knowledge from hypertext data (2003) — 299 citations
- Keyword searching and browsing in databases using BANKS (2002) — 1,091 citations
- Data mining for hypertext: a tutorial survey (2000) — 351 citations