13 citations · 16 across the 3 of their papers we have counts for
3 papers
Multi-Label Learning to Rank through Multi-Objective Optimization
Debabrata Mahapatra, Chaosheng Dong, Yetian Chen +2
Learning to Rank (LTR) technique is ubiquitous in the Information Retrieval system nowadays, especially in the Search Ranking application. The query-item relevance labels typically…
Exact Pareto Optimal Search for Multi-Task Learning and Multi-Criteria Decision-Making
Debabrata Mahapatra, Vaibhav Rajan
Given multiple non-convex objective functions and objective-specific weights, Chebyshev scalarization (CS) is a well-known approach to obtain an Exact Pareto Optimal (EPO), i.e., a…
Deep Sparse Coding Using Optimized Linear Expansion of Thresholds
Debabrata Mahapatra, Subhadip Mukherjee, Chandra Sekhar Seelamantula
We address the problem of reconstructing sparse signals from noisy and compressive measurements using a feed-forward deep neural network (DNN) with an architecture motivated by the…