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Classification

15,805 papers

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Papers

Functional Neural Networks: Shift invariant models for functional data with applications to EEG classification ICML 2023
AdaBoost is not an Optimal Weak to Strong Learner ICML 2023
Causal Strategic Classification: A Tale of Two Shifts ICML 2023
Cut your Losses with Squentropy ICML 2023
Leveraging Label Non-Uniformity for Node Classification in Graph Neural Networks ICML 2023
Scaling of Class-wise Training Losses for Post-hoc Calibration ICML 2023
Loss Balancing for Fair Supervised Learning ICML 2023
Improved Algorithms for Multi-period Multi-class Packing Problems with Bandit Feedback ICML 2023
Probabilistic Imputation for Time-series Classification with Missing Data ICML 2023
Learnability and Algorithm for Continual Learning ICML 2023
On Computing Optimal Tree Ensembles ICML 2023
GOAT: A Global Transformer on Large-scale Graphs ICML 2023
Data-OOB: Out-of-bag Estimate as a Simple and Efficient Data Value ICML 2023
Synergies between Disentanglement and Sparsity: Generalization and Identifiability in Multi-Task Learning ICML 2023
LegendreTron: Uprising Proper Multiclass Loss Learning ICML 2023
Strategic Classification with Unknown User Manipulations ICML 2023
GraphCleaner: Detecting Mislabelled Samples in Popular Graph Learning Benchmarks ICML 2023
Fast Online Value-Maximizing Prediction Sets with Conformal Cost Control ICML 2023
Identifiability of Label Noise Transition Matrix ICML 2023
Algorithms for bounding contribution for histogram estimation under user-level privacy ICML 2023
Dropout Reduces Underfitting ICML 2023
Revisiting Pseudo-Label for Single-Positive Multi-Label Learning ICML 2023
Multi-Symmetry Ensembles: Improving Diversity and Generalization via Opposing Symmetries ICML 2023
Never mind the metrics---what about the uncertainty? Visualising binary confusion matrix metric distributions to put performance in perspective ICML 2023
Pairwise Ranking Losses of Click-Through Rates Prediction for Welfare Maximization in Ad Auctions ICML 2023