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Classification

15,805 papers

Papers per year

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Papers

Focusing Visual Relation Detection on Relevant Relations with Prior Potentials WACV 2020
Cross Attention Network for Few-shot Classification NIPS 2019
Hyperspherical Prototype Networks NIPS 2019
Random Tessellation Forests NIPS 2019
Equal Opportunity in Online Classification with Partial Feedback NIPS 2019
Power analysis of knockoff filters for correlated designs NIPS 2019
Deep Gamblers: Learning to Abstain with Portfolio Theory NIPS 2019
Combinatorial Inference against Label Noise NIPS 2019
Localized Structured Prediction NIPS 2019
Comparing distributions: $\ell_1$ geometry improves kernel two-sample testing NIPS 2019
Low-Complexity Nonparametric Bayesian Online Prediction with Universal Guarantees NIPS 2019
Implicit Semantic Data Augmentation for Deep Networks NIPS 2019
A First-Order Algorithmic Framework for Distributionally Robust Logistic Regression NIPS 2019
Calibration tests in multi-class classification: A unifying framework NIPS 2019
Likelihood Ratios for Out-of-Distribution Detection NIPS 2019
TAB-VCR: Tags and Attributes based VCR Baselines NIPS 2019
Multiclass Performance Metric Elicitation NIPS 2019
Generalization in multitask deep neural classifiers: a statistical physics approach NIPS 2019
Learning Neural Networks with Adaptive Regularization NIPS 2019
Exact inference in structured prediction NIPS 2019
iSplit LBI: Individualized Partial Ranking with Ties via Split LBI NIPS 2019
Nearly Tight Bounds for Robust Proper Learning of Halfspaces with a Margin NIPS 2019
Distribution-Independent PAC Learning of Halfspaces with Massart Noise NIPS 2019
Optimizing Generalized Rate Metrics with Three Players NIPS 2019
Dynamic Ensemble Modeling Approach to Nonstationary Neural Decoding in Brain-Computer Interfaces NIPS 2019