Rakesh Shivanna

According to our database1, Rakesh Shivanna authored at least 8 papers between 2014 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
Algorithms for Efficiently Learning Low-Rank Neural Networks.
CoRR, 2022

On the Factory Floor: ML Engineering for Industrial-Scale Ads Recommendation Models.
Proceedings of the 5th Workshop on Online Recommender Systems and User Modeling co-located with the 16th ACM Conference on Recommender Systems, 2022

2021
DCN V2: Improved Deep & Cross Network and Practical Lessons for Web-scale Learning to Rank Systems.
Proceedings of the WWW '21: The Web Conference 2021, 2021

2020
DCN-M: Improved Deep & Cross Network for Feature Cross Learning in Web-scale Learning to Rank Systems.
CoRR, 2020

Understanding and Improving Knowledge Distillation.
CoRR, 2020

2019
How Many Pairwise Preferences Do We Need to Rank a Graph Consistently?
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2015
Spectral Norm Regularization of Orthonormal Representations for Graph Transduction.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014
Learning on graphs using Orthonormal Representation is Statistically Consistent.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014


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