linear classifier

The Pursuit of Human Labeling: A New Perspective on Unsupervised Learning NeurIPS 2023 Understanding the Impact of Adversarial Robustness on Accuracy Disparity ICML 2023 What Can We Learn by Predicting Accuracy? WACV 2023 Why does Throwing Away Data Improve Worst-Group Error? ICML 2023 A Closer Look at Prototype Classifier for Few-shot Image Classification NeurIPS 2022 aiML at the FinNLP-2022 ERAI Task: Combining Classification and Regression Tasks for Financial Opinion Mining EMNLP 2022 Algorithms for learning a mixture of linear classifiers ALT 2022 Label Hallucination for Few-Shot Classification AAAI 2022 On the Adversarial Robustness of Causal Algorithmic Recourse ICML 2022 Private Synthetic Data for Multitask Learning and Marginal Queries NeurIPS 2022 Probing Representation Forgetting in Supervised and Unsupervised Continual Learning CVPR 2022 Strong Memory Lower Bounds for Learning Natural Models COLT 2022 Contrastive Estimation Reveals Topic Posterior Information to Linear Models JMLR 2021 Coresets for Classification – Simplified and Strengthened NeurIPS 2021 Do Sound Event Representations Generalize to Other Audio Tasks? A Case Study in Audio Transfer Learning Interspeech 2021 Fair Classification with Noisy Protected Attributes: A Framework with Provable Guarantees ICML 2021 Fast margin maximization via dual acceleration ICML 2021 Finite-sample Analysis of Interpolating Linear Classifiers in the Overparameterized Regime JMLR 2021 Gradient Descent on Two-layer Nets: Margin Maximization and Simplicity Bias NeurIPS 2021 Language Recognition Based on Unsupervised Pretrained Models Interspeech 2021 Nested Barycentric Coordinate System as an Explicit Feature Map AISTATS 2021 Sample Complexity of Robust Linear Classification on Separated Data ICML 2021 Understanding the failure modes of out-of-distribution generalization ICLR 2021 A Simple Framework for Contrastive Learning of Visual Representations ICML 2020 Attribute Noise Robust Binary Classification (Student Abstract) AAAI 2020