sampling strategy

Oblivious near-optimal sampling for multidimensional signals with Fourier constraints AISTATS 2023 Reconciling Competing Sampling Strategies of Network Embedding NeurIPS 2023 Reinforced Approximate Exploratory Data Analysis AAAI 2023 Active Sampling for Text Classification with Subinstance Level Queries AAAI 2022 Fine-tuning and Sampling Strategies for Multimodal Role Labeling of Entities under Class Imbalance ACL 2022 Random vs. Best-First: Impact of Sampling Strategies on Decision Making in Model-Based Diagnosis AAAI 2022 Stochastic Extragradient: General Analysis and Improved Rates AISTATS 2022 Asymptotically Optimal Information-Directed Sampling COLT 2021 Improving Model Robustness by Adaptively Correcting Perturbation Levels with Active Queries AAAI 2021 ITNLP at SemEval-2021 Task 11: Boosting BERT with Sampling and Adversarial Training for Knowledge Extraction SemEval 2021 Language Model Evaluation Beyond Perplexity ACL 2021 Self-Training Sampling with Monolingual Data Uncertainty for Neural Machine Translation ACL 2021 A Novel Learning Framework for Sampling-Based Motion Planning in Autonomous Driving AAAI 2020 Attentive Experience Replay AAAI 2020 ColdGANs: Taming Language GANs with Cautious Sampling Strategies NeurIPS 2020 Neural Architecture Search in A Proxy Validation Loss Landscape ICML 2020 PADS: Policy-Adapted Sampling for Visual Similarity Learning CVPR 2020 Prime Sample Attention in Object Detection CVPR 2020 Active Learning with Partial Feedback ICLR 2019 Active Sampling for Open-Set Classification without Initial Annotation AAAI 2019 Libra R-CNN: Towards Balanced Learning for Object Detection CVPR 2019 Practical Obstacles to Deploying Active Learning EMNLP 2019 Ranking and Sampling in Open-Domain Question Answering EMNLP 2019 Back-Translation Sampling by Targeting Difficult Words in Neural Machine Translation EMNLP 2018 Sampling Strategies in Siamese Networks for Unsupervised Speech Representation Learning Interspeech 2018