noisy data

Database reasoning over text ACL 2021 Estimating the Number of Induced Subgraphs from Incomplete Data and Neighborhood Queries AAAI 2021 Learning from Multiple Noisy Augmented Data Sets for Better Cross-Lingual Spoken Language Understanding EMNLP 2021 Learning From Noisy Data With Robust Representation Learning ICCV 2021 Learning Implicitly with Noisy Data in Linear Arithmetic IJCAI 2021 Quantifying Appropriateness of Summarization Data for Curriculum Learning EACL 2021 Revenue maximization via machine learning with noisy data NeurIPS 2021 Uncertainty-Aware Multi-View Representation Learning AAAI 2021 When Do Curricula Work? ICLR 2021 Controlled Hallucinations: Learning to Generate Faithfully from Noisy Data EMNLP 2020 DATAMAFIA at WNUT-2020 Task 2: A Study of Pre-trained Language Models along with Regularization Techniques for Downstream Tasks EMNLP 2020 Denoising Relation Extraction from Document-level Distant Supervision EMNLP 2020 Filtering Noisy Parallel Corpus using Transformers with Proxy Task Learning EMNLP 2020 Robust Federated Learning via Collaborative Machine Teaching AAAI 2020 Robust Named Entity Recognition with Truecasing Pretraining AAAI 2020 Self-Paced Robust Learning for Leveraging Clean Labels in Noisy Data AAAI 2020 Distant Supervised Relation Extraction with Separate Head-Tail CNN EMNLP 2019 MNN: Multimodal Attentional Neural Networks for Diagnosis Prediction IJCAI 2019 Nonconvex Low-Rank Tensor Completion from Noisy Data NeurIPS 2019 Robust Graph Embedding with Noisy Link Weights AISTATS 2019 Curriculum Learning for Natural Answer Generation IJCAI 2018 Generalized Inverse Optimization through Online Learning NeurIPS 2018 Training a Neural Network in a Low-Resource Setting on Automatically Annotated Noisy Data ACL 2018 How Unlabeled Web Videos Help Complex Event Detection? IJCAI 2017 RobustFill: Neural Program Learning under Noisy I/O ICML 2017