negative sampling

Logic Unveils Truth, While Disguise Obscures It: Transition Logic Augmented Response Selection for Multi-Turn Dialogue EMNLP 2023 Model-Aware Contrastive Learning: Towards Escaping the Dilemmas ICML 2023 Multi-level Adaptive Contrastive Learning for Knowledge Internalization in Dialogue Generation EMNLP 2023 Noisy Pair Corrector for Dense Retrieval EMNLP 2023 ODEE: A One-Stage Object Detection Framework for Overlapping and Nested Event Extraction IJCAI 2023 Open Set Relation Extraction via Unknown-Aware Training ACL 2023 PAED: Zero-Shot Persona Attribute Extraction in Dialogues ACL 2023 Sampling Better Negatives for Distantly Supervised Named Entity Recognition ACL 2023 SCENE: Self-Labeled Counterfactuals for Extrapolating to Negative Examples EMNLP 2023 The CRINGE Loss: Learning what language not to model ACL 2023 To Copy Rather Than Memorize: A Vertical Learning Paradigm for Knowledge Graph Completion ACL 2023 Towards Diverse and Effective Question-Answer Pair Generation from Children Storybooks ACL 2023 Adversarial Retriever-Ranker for Dense Text Retrieval ICLR 2022 A Transformational Biencoder with In-Domain Negative Sampling for Zero-Shot Entity Linking ACL 2022 Cache-Augmented Inbatch Importance Resampling for Training Recommender Retriever NeurIPS 2022 CAKE: A Scalable Commonsense-Aware Framework For Multi-View Knowledge Graph Completion ACL 2022 Comprehensive Analysis of Negative Sampling in Knowledge Graph Representation Learning ICML 2022 Do More Negative Samples Necessarily Hurt In Contrastive Learning? ICML 2022 DORE: Document Ordered Relation Extraction based on Generative Framework EMNLP 2022 Dual Temperature Helps Contrastive Learning Without Many Negative Samples: Towards Understanding and Simplifying MoCo CVPR 2022 Exploring the Impact of Negative Samples of Contrastive Learning: A Case Study of Sentence Embedding ACL 2022 Facilitating Contrastive Learning of Discourse Relational Senses by Exploiting the Hierarchy of Sense Relations EMNLP 2022 Improving Faithfulness by Augmenting Negative Summaries from Fake Documents EMNLP 2022 Learning from the Dark: Boosting Graph Convolutional Neural Networks with Diverse Negative Samples AAAI 2022 Max-Margin Contrastive Learning AAAI 2022