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Classification

1251 directly classified papers

Papers per year

Papers

M4GT-Bench: Evaluation Benchmark for Black-Box Machine-Generated Text Detection ACL 2024
Beyond Scaling: Predicting Patent Approval with Domain-specific Fine-grained Claim Dependency Graph ACL 2024
A Novel GAN Approach to Augment Limited Tabular Data for Short-Term Substance Use Prediction IJCAI 2024
Conformalized Semi-supervised Random Forest for Classification and Abnormality Detection AISTATS 2024
A Community-Centric Perspective for Characterizing and Detecting Anti-Asian Violence-Provoking Speech ACL 2024
Consistent Hierarchical Classification with A Generalized Metric AISTATS 2024
Assessing Neural Network Robustness via Adversarial Pivotal Tuning WACV 2024
Energy-Efficient Missing Data Imputation in Wearable Health Applications: A Classifier-aware Statistical Approach IJCAI 2024
Beyond Turing: A Comparative Analysis of Approaches for Detecting Machine-Generated Text NAACL 2024
Mitigating Underfitting in Learning to Defer with Consistent Losses AISTATS 2024
Open-Set Semi-Supervised Text Classification via Adversarial Disagreement Maximization ACL 2024
Classification with Deep Neural Networks and Logistic Loss JMLR 2024
OxonFair: A Flexible Toolkit for Algorithmic Fairness NIPS 2024
Collaborative Refining for Learning from Inaccurate Labels NIPS 2024
Toward Conditional Distribution Calibration in Survival Prediction NIPS 2024
Mind the Gap: A Causal Perspective on Bias Amplification in Prediction & Decision-Making NIPS 2024
Error Correction Output Codes for Robust Neural Networks against Weight-errors: A Neural Tangent Kernel Point of View NIPS 2024
Revive Re-weighting in Imbalanced Learning by Density Ratio Estimation NIPS 2024
Towards Heterogeneous Long-tailed Learning: Benchmarking, Metrics, and Toolbox NIPS 2024
Neural Collapse To Multiple Centers For Imbalanced Data NIPS 2024
CREAD: A Classification-Restoration Framework with Error Adaptive Discretization for Watch Time Prediction in Video Recommender Systems AAAI 2024
LaSCal: Label-Shift Calibration without target labels NIPS 2024
Rejection via Learning Density Ratios NIPS 2024
A Metalearned Neural Circuit for Nonparametric Bayesian Inference NIPS 2024
RR-PU: A Synergistic Two-Stage Positive and Unlabeled Learning Framework for Robust Tax Evasion Detection AAAI 2024