Active Learning

Finding Microaggressions in the Wild: A Case for Locating Elusive Phenomena in Social Media Posts EMNLP 2019 Finding the bandit in a graph: Sequential search-and-stop AISTATS 2019 Flattening a Hierarchical Clustering through Active Learning NeurIPS 2019 Garbage In, Reward Out: Bootstrapping Exploration in Multi-Armed Bandits ICML 2019 HEIDL: Learning Linguistic Expressions with Deep Learning and Human-in-the-Loop ACL 2019 How to Annotate 100 Hours in 45 Minutes Interspeech 2019 Human-in-the-loop Active Covariance Learning for Improving Prediction in Small Data Sets IJCAI 2019 Human-in-the-Loop Feature Selection AAAI 2019 Icebreaker: Element-wise Efficient Information Acquisition with a Bayesian Deep Latent Gaussian Model NeurIPS 2019 Incremental Domain Adaptation for Neural Machine Translation in Low-Resource Settings ACL 2019 Incremental Elicitation of Rank-Dependent Aggregation Functions based on Bayesian Linear Regression IJCAI 2019 Integrating Bayesian and Discriminative Sparse Kernel Machines for Multi-class Active Learning NeurIPS 2019 Interactive Evidence Detection: train state-of-the-art model out-of-domain or simple model interactively? EMNLP 2019 Interactive Full Image Segmentation by Considering All Regions Jointly CVPR 2019 Interactive Teaching Algorithms for Inverse Reinforcement Learning IJCAI 2019 InterSpot: Interactive Spammer Detection in Social Media IJCAI 2019 Iterative Classroom Teaching AAAI 2019 Iterative Projection and Matching: Finding Structure-Preserving Representatives and Its Application to Computer Vision CVPR 2019 Large-Scale Interactive Object Segmentation With Human Annotators CVPR 2019 Learning and Data Selection in Big Datasets ICML 2019 Learning Deterministic Weighted Automata with Queries and Counterexamples NeurIPS 2019 Learning How to Active Learn by Dreaming ACL 2019 Learning Loss for Active Learning CVPR 2019 Learning Nearest Neighbor Graphs from Noisy Distance Samples NeurIPS 2019 Learning Optimal Strategies to Commit To AAAI 2019