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Classification

15,805 papers

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Papers

When Personalization Harms Performance: Reconsidering the Use of Group Attributes in Prediction ICML 2023
Contextual Conservative Interleaving Bandits ICML 2023
Difference-in-Differences Meets Tree-based Methods: Heterogeneous Treatment Effects Estimation with Unmeasured Confounding ICML 2023
Dual Focal Loss for Calibration ICML 2023
Perturbation Analysis of Neural Collapse ICML 2023
Distribution Free Domain Generalization ICML 2023
Trading-Off Payments and Accuracy in Online Classification with Paid Stochastic Experts ICML 2023
Tilted Sparse Additive Models ICML 2023
On Regularization and Inference with Label Constraints ICML 2023
Robustly Learning a Single Neuron via Sharpness ICML 2023
A Universal Unbiased Method for Classification from Aggregate Observations ICML 2023
Mitigating Memorization of Noisy Labels by Clipping the Model Prediction ICML 2023
Towards Understanding Generalization of Macro-AUC in Multi-label Learning ICML 2023
Fair and Optimal Classification via Post-Processing ICML 2023
Progressive Purification for Instance-Dependent Partial Label Learning ICML 2023
Towards Quantum Machine Learning for Constrained Combinatorial Optimization: a Quantum QAP Solver ICML 2023
Temporal Label Smoothing for Early Event Prediction ICML 2023
Delving into Noisy Label Detection with Clean Data ICML 2023
Discover-Then-Rank Unlabeled Support Vectors in the Dual Space for Multi-Class Active Learning ICML 2023
Provable Dynamic Fusion for Low-Quality Multimodal Data ICML 2023
Revisiting Discriminative vs. Generative Classifiers: Theory and Implications ICML 2023
Provable Multi-instance Deep AUC Maximization with Stochastic Pooling ICML 2023
Label Distributionally Robust Losses for Multi-class Classification: Consistency, Robustness and Adaptivity ICML 2023
Multi-Agent Intention Recognition and Progression IJCAI 2023
Incentivizing Recourse through Auditing in Strategic Classification IJCAI 2023