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Classification

15,805 papers

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Papers

Which Tricks are Important for Learning to Rank? ICML 2023
Generated Graph Detection ICML 2023
Differential Privacy has Bounded Impact on Fairness in Classification ICML 2023
Random Classification Noise does not defeat All Convex Potential Boosters Irrespective of Model Choice ICML 2023
$H$-Consistency Bounds for Pairwise Misranking Loss Surrogates ICML 2023
Cross-Entropy Loss Functions: Theoretical Analysis and Applications ICML 2023
Efficient Transformed Gaussian Processes for Non-Stationary Dependent Multi-class Classification ICML 2023
A Model-free Closeness-of-influence Test for Features in Supervised Learning ICML 2023
Extending Conformal Prediction to Hidden Markov Models with Exact Validity via de Finetti’s Theorem for Markov Chains ICML 2023
CHiLS: Zero-Shot Image Classification with Hierarchical Label Sets ICML 2023
Provable Benefit of Mixup for Finding Optimal Decision Boundaries ICML 2023
On the Within-Group Fairness of Screening Classifiers ICML 2023
Feature Directions Matter: Long-Tailed Learning via Rotated Balanced Representation ICML 2023
FREDIS: A Fusion Framework of Refinement and Disambiguation for Unreliable Partial Label Learning ICML 2023
Simple and Fast Group Robustness by Automatic Feature Reweighting ICML 2023
A Two-Stage Active Learning Algorithm for k-Nearest Neighbors ICML 2023
Streaming Active Learning with Deep Neural Networks ICML 2023
Double-Weighting for Covariate Shift Adaptation ICML 2023
Sequence Modeling with Multiresolution Convolutional Memory ICML 2023
Synthetic data for model selection ICML 2023
RGE: A Repulsive Graph Rectification for Node Classification via Influence ICML 2023
Improving Expert Predictions with Conformal Prediction ICML 2023
Kernel QuantTree ICML 2023
Long-Tailed Recognition by Mutual Information Maximization between Latent Features and Ground-Truth Labels ICML 2023
Learning Prescriptive ReLU Networks ICML 2023