classification error

Towards Provably Unlearnable Examples via Bayes Error Optimization AAAI 2026 Human and AI Perceptual Differences in Image Classification Errors AAAI 2025 Validate Your Authority: Benchmarking LLMs on Multi-Label Precedent Treatment Classification EMNLP 2025 Gradual Domain Adaptation via Manifold-Constrained Distributionally Robust Optimization NeurIPS 2024 Learning Noisy Halfspaces with a Margin: Massart is No Harder than Random NeurIPS 2024 Realizable H-Consistent and Bayes-Consistent Loss Functions for Learning to Defer NeurIPS 2024 A Case of Exponential Convergence Rates for SVM AISTATS 2023 A General Theory of Correct, Incorrect, and Extrinsic Equivariance NeurIPS 2023 An Active Learning Pipeline for NLU Error Detection in Conversational Agents ACL 2023 Demystifying Disagreement-on-the-Line in High Dimensions ICML 2023 ODS: Test-Time Adaptation in the Presence of Open-World Data Shift ICML 2023 Generalized Resubstitution for Classification Error Estimation JMLR 2022 Label-Descriptive Patterns and Their Application to Characterizing Classification Errors ICML 2022 Rethinking Fano’s Inequality in Ensemble Learning ICML 2022 The Implicit Bias of Benign Overfitting COLT 2022 Training OOD Detectors in their Natural Habitats ICML 2022 Accountable Error Characterization NAACL 2021 Agnostic Learning of Halfspaces with Gradient Descent via Soft Margins ICML 2021 Out of a Hundred Trials, How Many Errors Does Your Speaker Verifier Make? Interspeech 2021 Why Do Document-Level Polarity Classifiers Fail? NAACL 2021 Identifying Mislabeled Data using the Area Under the Margin Ranking NeurIPS 2020 Neural Speed Reading Audited EMNLP 2020 Nonzero-sum Adversarial Hypothesis Testing Games NeurIPS 2019 On The Classification-Distortion-Perception Tradeoff NeurIPS 2019 Stochastic Gradient Descent with Exponential Convergence Rates of Expected Classification Errors AISTATS 2019