Hosagrahar Visvesvaraya Jagadish
Artificial Intelligence · 1996–2019
A researcher in the Science corpus: 25 papers; trusts 94 researchers and is trusted by 55 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 76 citations into it; #4,918 of 35,345 by trust here, #6,614 by citations
- Computer Networks and Communications — 51 citations into it; #844 of 9,886 by trust here, #1,173 by citations
- Information Systems — 47 citations into it; #841 of 8,771 by trust here, #2,203 by citations
- Signal Processing — 45 citations into it; #3,361 of 7,572 by trust here, #1,273 by citations
- Natural Language Processing — 32 citations into it; #4,012 of 5,688 by trust here, #5,092 by citations
- Management Science and Operations Research — 18 citations into it
- Computer Vision and Pattern Recognition — 15 citations into it; #19,406 of 21,575 by trust here, #12,689 by citations
- Optimization & Training — 13 citations into it
Whom Hosagrahar Visvesvaraya Jagadish trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Stefan Berchtold
- Karl Aberer
- Christopher D. Manning
- Marie-Catherine de Marneffe
- Joseph B. Kruskal
- Alex Krizhevsky
- Ana-Maria Popescu
- Ion Androutsopoulos
- Sumit Gulwani
- Geoffrey E. Hinton
Who trusts Hosagrahar Visvesvaraya Jagadish overall
- Tao Yu
- Peter Christen
- Xi Victoria Lin
- Yunyao Li
- Byeong-Hoon So
- Wei Lu
- Huahai He
- Alexandra L’Heureux
- Gabriel Ghinita
- Jiaheng Lu
Papers from Hosagrahar Visvesvaraya Jagadish's perspective
Ordered by how strongly the researchers Hosagrahar Visvesvaraya Jagadish 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)
- Attention is All you Need (Neural Information Processing Systems)
- 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)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Et al
Their papers
- Constructing an Interactive Natural Language Interface for Relational Databases (2014) — 517 citations
- NaLIR: an interactive natural language interface for querying relational databases (2014) — 197 citations
- Designing Fair Ranking Schemes (2017) — 180 citations
- Schema-free SQL (2014) — 22 citations
- Active Sampler: Light-weight Accelerator for Complex Data Analytics at Scale (2015) — 18 citations
- Big data and its technical challenges (2014) — 1,115 citations
- Metscape 2 bioinformatics tool for the analysis and visualization of metabolomics and gene expression data (2012) — 412 citations
- Foofah: Transforming Data By Example (2017) — 137 citations
- Bridging the Semantic Gap with SQL Query Logs in Natural Language Interfaces to Databases (2019) — 73 citations
- A Nutritional Label for Rankings (2018) — 116 citations
- Diversity in Big Data: A Review (2017) — 153 citations
- Challenges and Opportunities with Big Data (2017) — 924 citations
- The Beckman report on database research (2016) — 51 citations
- Finding k-dominant skylines in high dimensional space (2006) — 484 citations
- iDistance: An adaptive B+-tree based indexing method for nearest neighbor search (2005) — 643 citations
- BATON: A Balanced Tree Structure for Peer-to-Peer Networks (2005) — 423 citations
- Schema-Free XQuery (2004) — 413 citations
- Evaluating Structural Similarity in XML Documents (2002) — 394 citations
- TIMBER: A native XML database (2002) — 458 citations
- Structural joins: a primitive for efficient XML query pattern matching (2002) — 886 citations