Classification

Learning Precise Temporal Point Event Detection with Misaligned Labels AAAI 2021 Learning probabilistic sentential decision diagrams under logic constraints by sampling and averaging UAI 2021 Learning Randomly Perturbed Structured Predictors for Direct Loss Minimization ICML 2021 Learning Sparse Classifiers: Continuous and Mixed Integer Optimization Perspectives JMLR 2021 Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound NeurIPS 2021 Learning to Cascade: Confidence Calibration for Improving the Accuracy and Computational Cost of Cascade Inference Systems AAAI 2021 Learning to Check Contract Inconsistencies AAAI 2021 Learning to Elect NeurIPS 2021 Learning To Identify Correct 2D-2D Line Correspondences on Sphere CVPR 2021 Learning to Predict Trustworthiness with Steep Slope Loss NeurIPS 2021 Learning To Predict Visual Attributes in the Wild CVPR 2021 Learning to Purify Noisy Labels via Meta Soft Label Corrector AAAI 2021 Learning to Rank in the Age of Muppets: Effectiveness–Efficiency Tradeoffs in Multi-Stage Ranking EMNLP 2021 Learning-to-Rank with Partitioned Preference: Fast Estimation for the Plackett-Luce Model AISTATS 2021 Learning to Resolve Conflicts for Multi-Agent Path Finding with Conflict-Based Search AAAI 2021 Learning to Solve NLP Tasks in an Incremental Number of Languages ACL 2021 Learning Visual Words for Weakly-Supervised Semantic Segmentation IJCAI 2021 Learning with Feature-Dependent Label Noise: A Progressive Approach ICLR 2021 Learning with Group Noise AAAI 2021 Learning with Holographic Reduced Representations NeurIPS 2021 Learning With Noisy Labels via Sparse Regularization ICCV 2021 Learn the Highest Label and Rest Label Description Degrees IJCAI 2021 Least Square Calibration for Peer Reviews NeurIPS 2021 Let-Mi: An Arabic Levantine Twitter Dataset for Misogynistic Language EACL 2021 Let’s be explicit about that: Distant supervision for implicit discourse relation classification via connective prediction ACL 2021