most citedOn the Soft-Subnetwork for Few-shot Class Incremental Learning

12 citations · 14 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2023

Forget-free Continual Learning with Soft-Winning SubNetworks

Haeyong Kang, Jaehong Yoon, Sultan Rizky Madjid +2

Inspired by Regularized Lottery Ticket Hypothesis (RLTH), which states that competitive smooth (non-binary) subnetworks exist within a dense network in continual learning tasks, we…

cs.CV2022

Self-Supervised Visual Representation Learning via Residual Momentum

Trung X. Pham, Axi Niu, Zhang Kang +5

Self-supervised learning (SSL) approaches have shown promising capabilities in learning the representation from unlabeled data. Amongst them, momentum-based frameworks have attract…

cs.CV2022★ 1 cited

LAD: A Hybrid Deep Learning System for Benign Paroxysmal Positional Vertigo Disorders Diagnostic

Trung Xuan Pham, Jin Woong Choi, Rusty John Lloyd Mina +3

Herein, we introduce "Look and Diagnose" (LAD), a hybrid deep learning-based system that aims to support doctors in the medical field in diagnosing effectively the Benign Paroxysma…

cs.LG2022★ 12 cited

On the Soft-Subnetwork for Few-shot Class Incremental Learning

Haeyong Kang, Jaehong Yoon, Sultan Rizky Hikmawan Madjid +2

Inspired by Regularized Lottery Ticket Hypothesis (RLTH), which hypothesizes that there exist smooth (non-binary) subnetworks within a dense network that achieve the competitive pe…

eess.IV2022★ 1 cited

CISRNet: Compressed Image Super-Resolution Network

Agus Gunawan, Sultan Rizky Hikmawan Madjid

In recent years, tons of research has been conducted on Single Image Super-Resolution (SISR). However, to the best of our knowledge, few of these studies are mainly focused on comp…