28 citations · 43 across the 4 of their papers we have counts for
4 papers
Class-Incremental Learning via Knowledge Amalgamation
Marcus de Carvalho, Mahardhika Pratama, Jie Zhang +1
Catastrophic forgetting has been a significant problem hindering the deployment of deep learning algorithms in the continual learning setting. Numerous methods have been proposed t…
Regularize, Expand and Compress: Multi-task based Lifelong Learning via NonExpansive AutoML
Jie Zhang, Junting Zhang, Shalini Ghosh +4
Lifelong learning, the problem of continual learning where tasks arrive in sequence, has been lately attracting more attention in the computer vision community. The aim of lifelong…
Class-incremental Learning via Deep Model Consolidation
Junting Zhang, Jie Zhang, Shalini Ghosh +5
Deep neural networks (DNNs) often suffer from "catastrophic forgetting" during incremental learning (IL) --- an abrupt degradation of performance on the original set of classes whe…
Generative Visual Dialogue System via Adaptive Reasoning and Weighted Likelihood Estimation
Heming Zhang, Shalini Ghosh, Larry Heck +4
The key challenge of generative Visual Dialogue (VD) systems is to respond to human queries with informative answers in natural and contiguous conversation flow. Traditional Maximu…