Weakly Supervised Learning

Kernel Self-Attention for Weakly-Supervised Image Classification Using Deep Multiple Instance Learning WACV 2021 Keyphrase Extraction with Incomplete Annotated Training Data EMNLP 2021 Knodle: Modular Weakly Supervised Learning with PyTorch ACL 2021 Knowing False Negatives: An Adversarial Training Method for Distantly Supervised Relation Extraction EMNLP 2021 Knowing what You Know: valid and validated confidence sets in multiclass and multilabel prediction JMLR 2021 Knowledge-based Residual Learning IJCAI 2021 KnowMAN: Weakly Supervised Multinomial Adversarial Networks EMNLP 2021 Learnability of Linear Thresholds from Label Proportions NeurIPS 2021 Learning Action Completeness From Points for Weakly-Supervised Temporal Action Localization ICCV 2021 Learning by Fixing: Solving Math Word Problems with Weak Supervision AAAI 2021 Learning Cross-Modal Retrieval With Noisy Labels CVPR 2021 Learning Deep Neural Networks under Agnostic Corrupted Supervision ICML 2021 Learning disentangled representations via product manifold projection ICML 2021 Learning from Complementary Labels via Partial-Output Consistency Regularization IJCAI 2021 Learning from Crowds by Modeling Common Confusions AAAI 2021 Learning from Demonstration with Weakly Supervised Disentanglement ICLR 2021 Learning from Limited Labels for Long Legal Dialogue EMNLP 2021 Learning From Noisy Data With Robust Representation Learning ICCV 2021 Learning from Noisy Labels for Entity-Centric Information Extraction EMNLP 2021 Learning from Noisy Labels with Complementary Loss Functions AAAI 2021 Learning from Noisy Labels with No Change to the Training Process ICML 2021 Learning from Similarity-Confidence Data ICML 2021 Learning from the Worst: Dynamically Generated Datasets to Improve Online Hate Detection ACL 2021 Learning Logic Rules for Document-Level Relation Extraction EMNLP 2021 Learning Maximum Margin Markov Networks from examples with missing labels ACML 2021