Mausam
Artificial Intelligence · 2004–2021
A researcher in the Science corpus: 14 papers; trusts 185 researchers and is trusted by 50 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 165 citations into it; #6,337 of 35,345 by trust here, #3,498 by citations
- Natural Language Processing — 127 citations into it; #1,433 of 5,688 by trust here, #1,667 by citations
- Information Systems — 29 citations into it; #1,006 of 8,771 by trust here, #213 by citations
- Computer Vision and Pattern Recognition — 28 citations into it; #19,700 of 21,575 by trust here, #20,756 by citations
- Information Retrieval & Search — 16 citations into it; #474 of 1,022 by trust here, #409 by citations
- Molecular Biology — 14 citations into it
- Model Architectures — 13 citations into it
- Computer Networks and Communications — 12 citations into it; #1,509 of 9,886 by trust here, #419 by citations
Whom Mausam trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Geoffrey E. Hinton
- Ilya Sutskever
- Diederik P. Kingma
- Alex Krizhevsky
- Christopher D. Manning
- Oriol Vinyals
- Yann LeCun
- Alex Graves
- Andrew McCallum
Who trusts Mausam overall
- Battista Biggio
- Gabor Angeli
- Jonathan Berant
- Blaine Nelson
- Christopher D. Manning
- Percy Liang
- Haoruo Peng
- Bo Li
- Omer Levy
- Lei Cui
Papers from Mausam's perspective
Ordered by how strongly the researchers Mausam 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- 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)
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- Adversarial classification (2004) — 1,071 citations
- Open Information Extraction: The Second Generation (2011) — 527 citations
- Generating Coherent Event Schemas at Scale (2013) — 116 citations
- Open domain event extraction from twitter (2012) — 659 citations
- A Simple Yet Strong Pipeline for HotpotQA (2020) — 42 citations
- MatSciBERT: A materials domain language model for text mining and information extraction (2021) — 320 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
- Hierarchical Pointer Memory Network for Task Oriented Dialogue (2018) — 12 citations
- Transfer of Deep Reactive Policies for MDP Planning (2018) — 31 citations
- Open Language Learning for Information Extraction (2012) — 857 citations
- Entity Linking at Web Scale (2012) — 137 citations
- Named Entity Recognition in Tweets: An Experimental Study (2011) — 1,429 citations
- Machine Reading at the University of Washington (2010) — 45 citations