29 citations · 50 across the 13 of their papers we have counts for
3 papers · 1 filter
Domain Agnostic Few-Shot Learning For Document Intelligence
Jaya Krishna Mandivarapu, Eric bunch, Glenn fung
Few-shot learning aims to generalize to novel classes with only a few samples with class labels. Research in few-shot learning has borrowed techniques from transfer learning, metri…
Efficient Document Image Classification Using Region-Based Graph Neural Network
Jaya Krishna Mandivarapu, Eric Bunch, Qian You +1
Document image classification remains a popular research area because it can be commercialized in many enterprise applications across different industries. Recent advancements in l…
Optimizing Nondecomposable Data Dependent Regularizers via Lagrangian Reparameterization offers Significant Performance and Efficiency Gains
Sathya N. Ravi, Abhay Venkatesh, Glenn Moo Fung +1
Data dependent regularization is known to benefit a wide variety of problems in machine learning. Often, these regularizers cannot be easily decomposed into a sum over a finite num…