4 citations · 13 across the 9 of their papers we have counts for
9 papers
Simulated Annealing in Early Layers Leads to Better Generalization
Amirmohammad Sarfi, Zahra Karimpour, Muawiz Chaudhary +4
Recently, a number of iterative learning methods have been introduced to improve generalization. These typically rely on training for longer periods of time in exchange for improve…
Prototype-Sample Relation Distillation: Towards Replay-Free Continual Learning
Nader Asadi, MohammadReza Davari, Sudhir Mudur +2
In Continual learning (CL) balancing effective adaptation while combating catastrophic forgetting is a central challenge. Many of the recent best-performing methods utilize various…
Differentiable Subdivision Surface Fitting
Tianhao Xie
In this paper, we present a powerful differentiable surface fitting technique to derive a compact surface representation for a given dense point cloud or mesh, with application in…
Probing Representation Forgetting in Supervised and Unsupervised Continual Learning
MohammadReza Davari, Nader Asadi, Sudhir Mudur +2
Continual Learning research typically focuses on tackling the phenomenon of catastrophic forgetting in neural networks. Catastrophic forgetting is associated with an abrupt loss of…
Tackling Online One-Class Incremental Learning by Removing Negative Contrasts
Nader Asadi, Sudhir Mudur, Eugene Belilovsky
Recent work studies the supervised online continual learning setting where a learner receives a stream of data whose class distribution changes over time. Distinct from other conti…
Application of Knowledge Graphs to Provide Side Information for Improved Recommendation Accuracy
Yuhao Mao, Serguei A. Mokhov, Sudhir P. Mudur
Personalized recommendations are popular in these days of Internet driven activities, specifically shopping. Recommendation methods can be grouped into three major categories, cont…