open-world classification

Specificity-aware reinforcement learning for fine-grained open-world classification CVPR 2026 On Large Multimodal Models as Open-World Image Classifiers ICCV 2025 Open-world Radio Frequency Fingerprint Identification via Augmented Semi-supervised Learning AAAI 2025 Theoretical and Empirical Advantages of Dense-Vector to One-Hot Encoding of Intent Classes in Open-World Scenarios COLING 2024 Learning to Augment Distributions for Out-of-distribution Detection NeurIPS 2023 Out-of-distribution Detection Learning with Unreliable Out-of-distribution Sources NeurIPS 2023 Two Birds One Stone: Dynamic Ensemble for OOD Intent Classification ACL 2023 Benchmarking the Covariate Shift Robustness of Open-world Intent Classification Approaches AACL 2022 Evaluating the Practical Utility of Confidence-score based Techniques for Unsupervised Open-world Classification ACL 2022 Open World Classification with Adaptive Negative Samples EMNLP 2022 ODIST: Open World Classification via Distributionally Shifted Instances EMNLP 2021 DOC: Deep Open Classification of Text Documents EMNLP 2017