Learning to Adapt to Domain Shifts with Few-shot Samples in Anomalous Sound Detection

5 April 2022

Papers citing "Learning to Adapt to Domain Shifts with Few-shot Samples in Anomalous Sound Detection"

5 / 5 papers shown

Title
Handling Domain Shifts for Anomalous Sound Detection: A Review of DCASE-Related Work Kevin Wilkinghoff Takuya Fujimura Keisuke Imoto Jonathan Le Roux Zheng-Hua Tan T. Toda 48 0 0 13 Mar 2025
Anomalous Sound Detection using Audio Representation with Machine ID based Contrastive Learning Pretraining Jian Guan Feiyang Xiao Youde Liu Qiaoxi Zhu Wenwu Wang 8 10 0 07 Apr 2023
Zero-Shot Anomaly Detection via Batch Normalization Aodong Li Chen Qiu Marius Kloft Padhraic Smyth Maja R. Rudolph Stephan Mandt 14 0 0 15 Feb 2023
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML Aniruddh Raghu M. Raghu Samy Bengio Oriol Vinyals 170 634 0 19 Sep 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 237 11,568 0 09 Mar 2017