4 papers
On Understanding of the Dynamics of Model Capacity in Continual Learning
Supriyo Chakraborty, Krishnan Raghavan
The stability-plasticity dilemma, closely related to a neural network's (NN) capacity-its ability to represent tasks-is a fundamental challenge in continual learning (CL). Within t…
Sampling Imbalanced Data with Multi-objective Bilevel Optimization
Karen Medlin, Sven Leyffer, Krishnan Raghavan
Two-class classification problems are often characterized by an imbalance between the number of majority and minority datapoints resulting in poor classification of the minority cl…
DGRO: Diameter-Guided Ring Optimization for Integrated Research Infrastructure Membership
Shixun Wu, Krishnan Raghavan, Sheng Di +2
Logical ring is a core component in membership protocol. However, the logic ring fails to consider the underlying physical latency, resulting in a high diameter. To address this is…
A Bilevel Optimization Framework for Imbalanced Data Classification
Karen Medlin, Sven Leyffer, Krishnan Raghavan
Data rebalancing techniques, including oversampling and undersampling, are a common approach to addressing the challenges of imbalanced data. To tackle unresolved problems related…