Classification

Learning a Universal Template for Few-shot Dataset Generalization ICML 2021 Learning Bill Similarity with Annotated and Augmented Corpora of Bills EMNLP 2021 Learning Binary Decision Trees by Argmin Differentiation ICML 2021 Learning Debiased Representation via Disentangled Feature Augmentation NeurIPS 2021 Learning Deep Classifiers Consistent With Fine-Grained Novelty Detection CVPR 2021 Learning Deep Neural Networks under Agnostic Corrupted Supervision ICML 2021 Learning Discriminative Prototypes With Dynamic Time Warping CVPR 2021 Learning Fair Scoring Functions: Bipartite Ranking under ROC-based Fairness Constraints AISTATS 2021 Learning from Complementary Labels via Partial-Output Consistency Regularization IJCAI 2021 Learning from Crowds by Modeling Common Confusions AAAI 2021 Learning from Noisy Labels with Complementary Loss Functions AAAI 2021 Learning from Noisy Labels with No Change to the Training Process ICML 2021 Learning From Revisions: Quality Assessment of Claims in Argumentation at Scale EACL 2021 Learning from Similarity-Confidence Data ICML 2021 Learning from the Worst: Dynamically Generated Datasets to Improve Online Hate Detection ACL 2021 Learning Gaussian Mixtures with Generalized Linear Models: Precise Asymptotics in High-dimensions NeurIPS 2021 Learning Generalized Unsolvability Heuristics for Classical Planning IJCAI 2021 Learning Interclass Relations for Intravenous Contrast Phase Classification in CT MIDL 2021 Learning Interpretable Decision Rule Sets: A Submodular Optimization Approach NeurIPS 2021 Learning Models for Suicide Prediction from Social Media Posts NAACL 2021 Learning Neural Network Subspaces ICML 2021 Learning Noise Transition Matrix from Only Noisy Labels via Total Variation Regularization ICML 2021 Learning on Random Balls is Sufficient for Estimating (Some) Graph Parameters NeurIPS 2021 Learning Optimal Predictive Checklists NeurIPS 2021 Learning Placeholders for Open-Set Recognition CVPR 2021