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Classification

15,805 papers

Papers per year

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Papers

Repulsive Deep Ensembles are Bayesian NIPS 2021
From global to local MDI variable importances for random forests and when they are Shapley values NIPS 2021
Understanding Partial Multi-Label Learning via Mutual Information NIPS 2021
Combining Human Predictions with Model Probabilities via Confusion Matrices and Calibration NIPS 2021
Regime Switching Bandits NIPS 2021
Neural Additive Models: Interpretable Machine Learning with Neural Nets NIPS 2021
Kernel Functional Optimisation NIPS 2021
Support vector machines and linear regression coincide with very high-dimensional features NIPS 2021
See More for Scene: Pairwise Consistency Learning for Scene Classification NIPS 2021
Convex Polytope Trees NIPS 2021
DOCTOR: A Simple Method for Detecting Misclassification Errors NIPS 2021
Learnability of Linear Thresholds from Label Proportions NIPS 2021
Towards Calibrated Model for Long-Tailed Visual Recognition from Prior Perspective NIPS 2021
Weak-shot Fine-grained Classification via Similarity Transfer NIPS 2021
Forster Decomposition and Learning Halfspaces with Noise NIPS 2021
Neural Ensemble Search for Uncertainty Estimation and Dataset Shift NIPS 2021
Learning to Elect NIPS 2021
Diversity Matters When Learning From Ensembles NIPS 2021
Risk Bounds for Over-parameterized Maximum Margin Classification on Sub-Gaussian Mixtures NIPS 2021
Parameter-free HE-friendly Logistic Regression NIPS 2021
Ensembling Graph Predictions for AMR Parsing NIPS 2021
On the interplay between data structure and loss function in classification problems NIPS 2021
Consistent Non-Parametric Methods for Maximizing Robustness NIPS 2021
Differentiable Learning Under Triage NIPS 2021
Efficient Statistical Assessment of Neural Network Corruption Robustness NIPS 2021