Rama Kumar Pasumarthi
Google (United States)(US)
Publications by Year
Research Areas
Topic Modeling, Information Retrieval and Search Behavior, Text and Document Classification Technologies, Natural Language Processing Techniques, Machine Learning and Data Classification
Most-Cited Works
- → Gated-Attention Architectures for Task-Oriented Language Grounding(2018)120 cited
- → TF-Ranking(2019)111 cited
- Are Neural Rankers still Outperformed by Gradient Boosted Decision Trees(2021)
- → Diversification-Aware Learning to Rank using Distributed Representation(2021)36 cited
- → Permutation Equivariant Document Interaction Network for Neural Learning to Rank(2020)20 cited
- → Learning to Rank in Theory and Practice(2019)11 cited
- → A bayesian framework for estimating properties of network diffusions(2014)11 cited
- → Self-Attentive Document Interaction Networks for Permutation Equivariant Ranking(2019)10 cited
- RankDistil: Knowledge Distillation for Ranking(2021)