Rama Kumar Pasumarthi
Cited by
Cited by
Gated-Attention Architectures for Task-Oriented Language Grounding
RS Devendra Singh Chaplot, Kanthashree Mysore Sathyendra, Rama Kumar ...
32nd AAAI Conference on Artificial Intelligence (AAAI-18), New Orleans, USA, 2018
TF-Ranking: Scalable tensorflow library for learning-to-rank
RK Pasumarthi, S Bruch, X Wang, C Li, M Bendersky, M Najork, J Pfeifer, ...
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
Are neural rankers still outperformed by gradient boosted decision trees?
Z Qin, L Yan, H Zhuang, Y Tay, RK Pasumarthi, X Wang, M Bendersky, ...
Permutation equivariant document interaction network for neural learning to rank
RK Pasumarthi, H Zhuang, X Wang, M Bendersky, M Najork
Proceedings of the 2020 ACM SIGIR on international conference on theory of …, 2020
Domain adaptation for enterprise email search
B Tran, M Karimzadehgan, RK Pasumarthi, M Bendersky, D Metzler
Proceedings of the 42nd international ACM SIGIR Conference on Research and …, 2019
Diversification-aware learning to rank using distributed representation
L Yan, Z Qin, RK Pasumarthi, X Wang, M Bendersky
Proceedings of the Web Conference 2021, 127-136, 2021
Near Optimal Strategies for Targeted Marketing in Social Networks
R Pasumarthi, R Narayanam, B Ravindran
Proceedings of the 2015 International Conference on Autonomous Agents and …, 2015
Neutralizing propagation of malicious information
P Agrawal, P Banerjee, R Kokku, SRK Pasumarthi
US Patent 9,342,692, 2016
A Bayesian Framework for Estimating Properties of Network Diffusions
VR Embar, RK Pasumarthi, I Bhattacharya
Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014
Rankdistil: Knowledge distillation for ranking
S Reddi, RK Pasumarthi, A Menon, AS Rawat, F Yu, S Kim, A Veit, ...
International Conference on Artificial Intelligence and Statistics, 2368-2376, 2021
Learning to rank in theory and practice: from gradient boosting to neural networks and unbiased learning
C Lucchese, FM Nardini, RK Pasumarthi, S Bruch, M Bendersky, X Wang, ...
Proceedings of the 42nd International ACM SIGIR Conference on Research and …, 2019
Building cmu magnus from user feedback
S Prabhumoye, F Botros, K Chandu, S Choudhary, E Keni, C Malaviya, ...
Alexa Prize Proceedings, 2017
Neural Learning to Rank Using TensorFlow Ranking: A Hands-on Tutorial
RK Pasumarthi, S Bruch, M Bendersky, X Wang
Proceedings of the 2019 ACM SIGIR International Conference on Theory of …, 2019
Thermal-Safe Dynamic Test Scheduling Method Using On-Chip Temperature Sensors for 3D MPSoCs
RK Pasumarthi, VR Devanathan, V Visvanathan, S Potluri, V Kamakoti
Journal of Low Power Electronics 8 (5), 684-695, 2012
Improving Cloud Storage Search with User Activity.
R Jagerman, W Kong, RK Pasumarthi, Z Qin, M Bendersky, M Najork
WSDM, 508-516, 2021
Online Network Inference under Dynamic Cascade Updates: A Node-Centric Approach
RK Pasumarthi, S Karthik, A Choure, V Pandit
2014 Sixth International Conference on Communication Systems and Networks …, 2014
Sparse Network Inference using the k-Support Norm
A Gupta, H Wang, RK Pasumarthi
12th International Workshop on Mining and Learning with Graphs, 2016
The system can't perform the operation now. Try again later.
Articles 1–17