Padmini Srinivasan
Artificial Intelligence · 2004–2020
A researcher in the Science corpus: 3 papers; trusts 18 researchers and is trusted by 13 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 19 citations into it; #11,280 of 35,345 by trust here, #26,682 by citations
- Natural Language Processing — 14 citations into it
- Information Retrieval & Search — 7 citations into it
Whom Padmini Srinivasan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Rakesh Agrawal
- Rayadurgam Srikant
- Marc Weeber
- Thorsten Joachims
- Eric R. Ziegel
- Michael I. Jordan
- Andrew McCallum
- Henny Klein
- Yiming Yang
- Karen Spärck Jones
Who trusts Padmini Srinivasan overall
- Delroy Cameron
- William R. Hersh
- Lijuan Cai
- Ramakanth Kavuluru
- Xuelian Deng
- Thomas C. Rindflesch
- Thomas Hofmann
Papers from Padmini Srinivasan's perspective
Ordered by how strongly the researchers Padmini Srinivasan trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- 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)
- Learning Multiple Layers of Features from Tiny Images
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
Their papers
- Text mining: Generating hypotheses from MEDLINE (2004) — 320 citations
- Text Preprocessing for Text Mining in Organizational Research: Review and Recommendations (2020) — 320 citations
- Hierarchical Text Categorization Using Neural Networks (2004) — 306 citations