Classification

Learning Label Shift Correction for Test-Agnostic Long-Tailed Recognition ICML 2024 Learning Label-Specific Multiple Local Metrics for Multi-Label Classification IJCAI 2024 Learning Low-Rank Feature for Thorax Disease Classification NeurIPS 2024 Learning Natural Consistency Representation for Face Forgery Video Detection ECCV 2024 Learning Noisy Halfspaces with a Margin: Massart is No Harder than Random NeurIPS 2024 Learning Only When It Matters: Cost-Aware Long-Tailed Classification AAAI 2024 Learning Optimal Dynamic Treatment Regimens Subject to Stagewise Risk Controls JMLR 2024 Learning Performance Maximizing Ensembles with Explainability Guarantees AAAI 2024 Learning Plaintext-Ciphertext Cryptographic Problems via ANF-based SAT Instance Representation NeurIPS 2024 Learning Reasons for Product Returns on E-Commerce COLING 2024 Learning Robust Classifiers with Self-Guided Spurious Correlation Mitigation IJCAI 2024 Learning Small Decision Trees for Data of Low Rank-Width AAAI 2024 Learning Small Decision Trees with Few Outliers: A Parameterized Perspective AAAI 2024 Learning the Latent Causal Structure for Modeling Label Noise NeurIPS 2024 Learning to Rank for Optimal Treatment Allocation Under Resource Constraints AISTATS 2024 Learning to Rank Salient Content for Query-focused Summarization EMNLP 2024 Learning to Reject Meets Long-tail Learning ICLR 2024 Learning to Reject with a Fixed Predictor: Application to Decontextualization ICLR 2024 Learning to Solve Quadratic Unconstrained Binary Optimization in a Classification Way NeurIPS 2024 Learning with Fitzpatrick Losses NeurIPS 2024 Learning with Noisy Labels Using Hyperspherical Margin Weighting AAAI 2024 Learning with Structural Labels for Learning with Noisy Labels CVPR 2024 LegalDiscourse: Interpreting When Laws Apply and To Whom NAACL 2024 Lemmatisation of Medieval Greek: Against the Limits of Transformer’s Capabilities? COLING 2024 Length Optimization in Conformal Prediction NeurIPS 2024