machine teaching

Non-Clashing Teaching Maps for Balls in Graphs COLT 2024 Iterative Teaching by Data Hallucination AISTATS 2023 Nonparametric Teaching for Multiple Learners NeurIPS 2023 Teaching to Learn: Sequential Teaching of Learners with Internal States AAAI 2023 Non-Cheating Teaching Revisited: A New Probabilistic Machine Teaching Model IJCAI 2022 On Batch Teaching with Sample Complexity Bounded by VCD NeurIPS 2022 Teaching Humans When to Defer to a Classifier via Exemplars AAAI 2022 Teaching Interactively to Learn Emotions in Natural Language NAACL 2022 The Teaching Dimension of Regularized Kernel Learners ICML 2022 Adaptive Teaching of Temporal Logic Formulas to Preference-based Learners AAAI 2021 A Machine Teaching Framework for Scalable Recognition ICCV 2021 Gradient-Based Algorithms for Machine Teaching CVPR 2021 Iterative Teacher-Aware Learning NeurIPS 2021 Locality Sensitive Teaching NeurIPS 2021 Teaching Active Human Learners AAAI 2021 Teaching an Active Learner with Contrastive Examples NeurIPS 2021 The Teaching Dimension of Kernel Perceptron AISTATS 2021 Think Big, Teach Small: Do Language Models Distil Occam’s Razor? NeurIPS 2021 Conversation Learner - A Machine Teaching Tool for Building Dialog Managers for Task-Oriented Dialog Systems ACL 2020 Fine-Grained Machine Teaching with Attention Modeling AAAI 2020 Interactive Learning with Proactive Cognition Enhancement for Crowd Workers AAAI 2020 Robust Federated Learning via Collaborative Machine Teaching AAAI 2020 Teaching with Limited Information on the Learner’s Behaviour ICML 2020 Understanding the Power and Limitations of Teaching with Imperfect Knowledge IJCAI 2020 Iterative Classroom Teaching AAAI 2019