Turnitin
降AI改写
早检测系统
早降重系统
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万方检测-期刊版
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Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Continual forgetting for pre-trained vision models
For privacy and security concerns the need to erase unwanted information from pre-trained
vision models is becoming evident nowadays. In real-world scenarios erasure requests …
vision models is becoming evident nowadays. In real-world scenarios erasure requests …
Revisiting confidence estimation: Towards reliable failure prediction
Reliable confidence estimation is a challenging yet fundamental requirement in many risk-
sensitive applications. However, modern deep neural networks are often overconfident for …
sensitive applications. However, modern deep neural networks are often overconfident for …
Pass++: A dual bias reduction framework for non-exemplar class-incremental learning
Class-incremental learning (CIL) aims to recognize new classes incrementally while
maintaining the discriminability of old classes. Most existing CIL methods are exemplar …
maintaining the discriminability of old classes. Most existing CIL methods are exemplar …
Towards non-exemplar semi-supervised class-incremental learning
Deep neural networks perform remarkably well in close-world scenarios. However, novel
classes emerged continually in real applications, making it necessary to learn incrementally …
classes emerged continually in real applications, making it necessary to learn incrementally …
Enhancing consistency and mitigating bias: A data replay approach for incremental learning
Deep learning systems are prone to catastrophic forgetting when learning from a sequence
of tasks, as old data from previous tasks is unavailable when learning a new task. To …
of tasks, as old data from previous tasks is unavailable when learning a new task. To …
Practical Continual Forgetting for Pre-trained Vision Models
For privacy and security concerns, the need to erase unwanted information from pre-trained
vision models is becoming evident nowadays. In real-world scenarios, erasure requests …
vision models is becoming evident nowadays. In real-world scenarios, erasure requests …