linear classifier

Definition Extraction Feature Analysis: From Canonical to Naturally-Occurring Definitions COLING 2020 Explaining Naive Bayes and Other Linear Classifiers with Polynomial Time and Delay NeurIPS 2020 Instance Credibility Inference for Few-Shot Learning CVPR 2020 Learning from Mixtures of Private and Public Populations NeurIPS 2020 Learning Strategy-Aware Linear Classifiers NeurIPS 2020 Learning to Detect Bipolar Disorder and Borderline Personality Disorder with Language and Speech in Non-Clinical Interviews Interspeech 2020 Null It Out: Guarding Protected Attributes by Iterative Nullspace Projection ACL 2020 On the Complexity of Proper Distribution-Free Learning of Linear Classifiers ALT 2020 On the Hierarchical Information in a Single Contextualised Word Representation (Student Abstract) AAAI 2020 Reducing Adversarially Robust Learning to Non-Robust PAC Learning NeurIPS 2020 Theoretical Insights Into Multiclass Classification: A High-dimensional Asymptotic View NeurIPS 2020 The Power of Comparisons for Actively Learning Linear Classifiers NeurIPS 2020 Verifying Individual Fairness in Machine Learning Models UAI 2020 A Geometric Perspective on the Transferability of Adversarial Directions AISTATS 2019 BrainEE at SemEval-2019 Task 3: Ensembling Linear Classifiers for Emotion Prediction SemEval 2019 Efficient Bayes Risk Estimation for Cost-Sensitive Classification AISTATS 2019 Feature-Wise Bias Amplification ICLR 2019 Generalization Error Analysis of Quantized Compressive Learning NeurIPS 2019 Learning Rules-First Classifiers AISTATS 2019 Meta-Learning With Differentiable Convex Optimization CVPR 2019 Neural and Linear Pipeline Approaches to Cross-lingual Morphological Analysis NAACL 2019 SGD on Neural Networks Learns Functions of Increasing Complexity NeurIPS 2019 Simplifying Graph Convolutional Networks ICML 2019 Stochastic Gradient Descent on Separable Data: Exact Convergence with a Fixed Learning Rate AISTATS 2019 The Sally Smedley Hyperpartisan News Detector at SemEval-2019 Task 4 SemEval 2019