Rakesh Shivanna

Publications by Year

Research Areas

Natural Language Processing Techniques, Semantic Web and Ontologies, Sparse and Compressive Sensing Techniques, Machine Learning and Algorithms, Medical Image Segmentation Techniques

Most-Cited Works

• → Understanding and Improving Knowledge Distillation(2020)89 cited
• DCN-M: Improved Deep & Cross Network for Feature Cross Learning in Web-scale Learning to Rank Systems.(2020)
• Spectral Norm Regularization of Orthonormal Representations for Graph Transduction(2015)
• Learning on graphs using Orthonormal Representation is Statistically Consistent(2014)
• → On the Factory Floor: ML Engineering for Industrial-Scale Ads Recommendation Models(2022)3 cited
• → How Many Pairwise Preferences Do We Need to Rank a Graph Consistently?(2019)2 cited
• → Nonlinear Initialization Methods for Low-Rank Neural Networks(2022)1 cited
• → Michelangelo: Long Context Evaluations Beyond Haystacks via Latent Structure Queries(2024)