23 citations · 34 across the 37 of their papers we have counts for
6 papers · 1 filter
Unsupervised Speech Representation Pooling Using Vector Quantization
Jeongkyun Park, Kwanghee Choi, Hyunjun Heo +1
With the advent of general-purpose speech representations from large-scale self-supervised models, applying a single model to multiple downstream tasks is becoming a de-facto appro…
TiDAL: Learning Training Dynamics for Active Learning
Seong Min Kye, Kwanghee Choi, Hyeongmin Byun +1
Active learning (AL) aims to select the most useful data samples from an unlabeled data pool and annotate them to expand the labeled dataset under a limited budget. Especially, unc…
Reliable Decision from Multiple Subtasks through Threshold Optimization: Content Moderation in the Wild
Donghyun Son, Byounggyu Lew, Kwanghee Choi +5
Social media platforms struggle to protect users from harmful content through content moderation. These platforms have recently leveraged machine learning models to cope with the v…
Learning with Noisy Labels by Efficient Transition Matrix Estimation to Combat Label Miscorrection
Seong Min Kye, Kwanghee Choi, Joonyoung Yi +1
Recent studies on learning with noisy labels have shown remarkable performance by exploiting a small clean dataset. In particular, model agnostic meta-learning-based label correcti…
Pretraining Neural Architecture Search Controllers with Locality-based Self-Supervised Learning
Kwanghee Choi, Minyoung Choe, Hyelee Lee
Neural architecture search (NAS) has fostered various fields of machine learning. Despite its prominent dedications, many have criticized the intrinsic limitations of high computat…
Combating the Instability of Mutual Information-based Losses via Regularization
Kwanghee Choi, Siyeong Lee
Notable progress has been made in numerous fields of machine learning based on neural network-driven mutual information (MI) bounds. However, utilizing the conventional MI-based lo…