Summary of Hybrid Efficient Unsupervised Anomaly Detection For Early Pandemic Case Identification, by Ghazal Ghajari et al.
Hybrid Efficient Unsupervised Anomaly Detection for Early Pandemic Case Identificationby Ghazal Ghajari, Mithun Kumar PK,…
Summary of Generalizing Few Data to Unseen Domains Flexibly Based on Label Smoothing Integrated with Distributionally Robust Optimization, by Yangdi Wang et al.
Generalizing Few Data to Unseen Domains Flexibly Based on Label Smoothing Integrated with Distributionally Robust…
Summary of Cautious Calibration in Binary Classification, by Mari-liis Allikivi et al.
Cautious Calibration in Binary Classificationby Mari-Liis Allikivi, Joonas Järve, Meelis KullFirst submitted to arxiv on:…
Summary of Meta-learning Guided Label Noise Distillation For Robust Signal Modulation Classification, by Xiaoyang Hao et al.
Meta-Learning Guided Label Noise Distillation for Robust Signal Modulation Classificationby Xiaoyang Hao, Zhixi Feng, Tongqing…
Summary of Model Debiasing by Learnable Data Augmentation, By Pietro Morerio et al.
Model Debiasing by Learnable Data Augmentationby Pietro Morerio, Ruggero Ragonesi, Vittorio MurinoFirst submitted to arxiv…
Summary of Leveraging Large Language Models with Chain-of-thought and Prompt Engineering For Traffic Crash Severity Analysis and Inference, by Hao Zhen et al.
Leveraging Large Language Models with Chain-of-Thought and Prompt Engineering for Traffic Crash Severity Analysis and…
Summary of Towards Linguistic Neural Representation Learning and Sentence Retrieval From Electroencephalogram Recordings, by Jinzhao Zhou et al.
Towards Linguistic Neural Representation Learning and Sentence Retrieval from Electroencephalogram Recordingsby Jinzhao Zhou, Yiqun Duan,…
Summary of Performance Metric For Multiple Anomaly Score Distributions with Discrete Severity Levels, by Wonjun Yi et al.
Performance Metric for Multiple Anomaly Score Distributions with Discrete Severity Levelsby Wonjun Yi, Yong-Hwa Park,…
Summary of Learn to Learn More Precisely, by Runxi Cheng et al.
Learn To Learn More Preciselyby Runxi Cheng, Yongxian Wei, Xianglong He, Wanyun Zhu, Songsong Huang,…
Summary of Risks, Causes, and Mitigations Of Widespread Deployments Of Large Language Models (llms): a Survey, by Md Nazmus Sakib et al.
Risks, Causes, and Mitigations of Widespread Deployments of Large Language Models (LLMs): A Surveyby Md…