Performance Analysis
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GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection
Neural Information Processing Systems
We shed light on the current progress of GAD, setting a robust groundwork for subsequent investigations in this domain.
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Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defense Kalpesh Krishna Yixiao Song Marzena Karpinska John Wieting Mohit Iyyer
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API, looking for sequences that match the candidate text within a certain threshold.
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Learning Sample Difficulty from Pre-trained Models for Reliable Prediction
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Equipped with the knowledge of sample difficulty, we further propose to use it for regularizing the prediction confidence.
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4eb33c53ed5b14ce9028309431f565cc-Paper-Datasets_and_Benchmarks.pdf
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Does progress on ImageNet transfer to real-world datasets?
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