Rama Kumar Pasumarthi

According to our database, Rama Kumar Pasumarthi authored at least 16 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

RD-Suite: A Benchmark for Ranking Distillation.

Zhen Qin, Rolf Jagerman, Rama Kumar Pasumarthi, Honglei Zhuang, He Zhang, Aijun Bai, Kai Hui, Le Yan, Xuanhui Wang

CoRR, 2023

RD-Suite: A Benchmark for Ranking Distillation.

Zhen Qin, Rolf Jagerman, Rama Kumar Pasumarthi, Honglei Zhuang, He Zhang, Aijun Bai, Kai Hui, Le Yan, Xuanhui Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2021

Diversification-Aware Learning to Rank using Distributed Representation.

Le Yan, Zhen Qin, Rama Kumar Pasumarthi, Xuanhui Wang, Michael Bendersky

Proceedings of the WWW '21: The Web Conference 2021, 2021

Improving Cloud Storage Search with User Activity.

Rolf Jagerman, Weize Kong, Rama Kumar Pasumarthi, Zhen Qin, Michael Bendersky, Marc Najork

Proceedings of the WSDM '21, 2021

Are Neural Rankers still Outperformed by Gradient Boosted Decision Trees?

Zhen Qin, Le Yan, Honglei Zhuang, Yi Tay, Rama Kumar Pasumarthi, Xuanhui Wang, Michael Bendersky, Marc Najork

Proceedings of the 9th International Conference on Learning Representations, 2021

RankDistil: Knowledge Distillation for Ranking.

Sashank J. Reddi, Rama Kumar Pasumarthi, Aditya Krishna Menon, Ankit Singh Rawat, Felix X. Yu, Seungyeon Kim, Andreas Veit, Sanjiv Kumar

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Permutation Equivariant Document Interaction Network for Neural Learning to Rank.

Rama Kumar Pasumarthi, Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Marc Najork

Proceedings of the ICTIR '20: The 2020 ACM SIGIR International Conference on the Theory of Information Retrieval, 2020

2019

Self-Attentive Document Interaction Networks for Permutation Equivariant Ranking.

Rama Kumar Pasumarthi, Xuanhui Wang, Michael Bendersky, Marc Najork

CoRR, 2019

Domain Adaptation for Enterprise Email Search.

Brandon Tran, Maryam Karimzadehgan, Rama Kumar Pasumarthi, Michael Bendersky, Donald Metzler

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Learning to Rank in Theory and Practice: From Gradient Boosting to Neural Networks and Unbiased Learning.

Claudio Lucchese, Franco Maria Nardini, Rama Kumar Pasumarthi, Sebastian Bruch, Michael Bendersky, Xuanhui Wang, Harrie Oosterhuis, Rolf Jagerman, Maarten de Rijke

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

TF-Ranking: Scalable TensorFlow Library for Learning-to-Rank.

Rama Kumar Pasumarthi, Sebastian Bruch, Xuanhui Wang, Cheng Li, Michael Bendersky, Marc Najork, Jan Pfeifer, Nadav Golbandi, Rohan Anil, Stephan Wolf

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Neural Learning to Rank using TensorFlow Ranking: A Hands-on Tutorial.

Rama Kumar Pasumarthi, Sebastian Bruch, Michael Bendersky, Xuanhui Wang

Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval, 2019

2018

Gated-Attention Architectures for Task-Oriented Language Grounding.

Devendra Singh Chaplot, Kanthashree Mysore Sathyendra, Rama Kumar Pasumarthi, Dheeraj Rajagopal, Ruslan Salakhutdinov

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2014

A bayesian framework for estimating properties of network diffusions.

Varun R. Embar, Rama Kumar Pasumarthi, Indrajit Bhattacharya

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Online network inference under dynamic cascade updates: A node-centric approach.

Rama Kumar Pasumarthi, Srinivas Karthik, Ayush Choure, Vinayaka Pandit

Proceedings of the Sixth International Conference on Communication Systems and Networks, 2014

2012

Thermal-Safe Dynamic Test Scheduling Method Using On-Chip Temperature Sensors for 3D MPSoCs.

Rama Kumar Pasumarthi, V. R. Devanathan, V. Visvanathan, Seetal Potluri, V. Kamakoti

J. Low Power Electron., 2012