conftrace_

machine teaching

38 papers

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MT

Co-occurring keywords

active learning (1301) concept learning (121) teaching dimension (23) sample complexity (1169) teaching algorithm (8) interactive learning (128) teaching complexity (6) curriculum learning (633) bayesian inference (1907) image classification (1944)

Papers

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