Meta-Learning Guided Label Noise Distillation for Robust Signal Modulation Classificationby Xiaoyang Hao, Zhixi Feng, Tongqing…
Hybrid Efficient Unsupervised Anomaly Detection for Early Pandemic Case Identificationby Ghazal Ghajari, Mithun Kumar PK,…
Model Debiasing by Learnable Data Augmentationby Pietro Morerio, Ruggero Ragonesi, Vittorio MurinoFirst submitted to arxiv…
Generalizing Few Data to Unseen Domains Flexibly Based on Label Smoothing Integrated with Distributionally Robust…
Cautious Calibration in Binary Classificationby Mari-Liis Allikivi, Joonas Järve, Meelis KullFirst submitted to arxiv on:…
Performance Metric for Multiple Anomaly Score Distributions with Discrete Severity Levelsby Wonjun Yi, Yong-Hwa Park,…
Distinguishing Chatbot from Humanby Gauri Anil Godghase, Rishit Agrawal, Tanush Obili, Mark StampFirst submitted to…
Leveraging Large Language Models with Chain-of-Thought and Prompt Engineering for Traffic Crash Severity Analysis and…
Towards Linguistic Neural Representation Learning and Sentence Retrieval from Electroencephalogram Recordingsby Jinzhao Zhou, Yiqun Duan,…
Learn To Learn More Preciselyby Runxi Cheng, Yongxian Wei, Xianglong He, Wanyun Zhu, Songsong Huang,…