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Found 3 papers, 3 papers with code
Towards Reliable AI Model Deployments: Multiple Input Mixup for Out-of-Distribution Detection
With extensive experiments with CIFAR10 and CIFAR100 benchmarks that have been largely adopted in out-of-distribution detection fields, we have demonstrated our MIM shows comprehensively superior performance compared to the SOTA method.
Out-of-Distribution Detection
Out of Distribution (OOD) Detection
Towards Machine Unlearning Benchmarks: Forgetting the Personal Identities in Facial Recognition Systems
Recently, various studies have presented machine unlearning algorithms and evaluated their methods on several datasets.
KoMultiText: Large-Scale Korean Text Dataset for Classifying Biased Speech in Real-World Online Services
With the growth of online services, the need for advanced text classification algorithms, such as sentiment analysis and biased text detection, has become increasingly evident.
