negative sampling

Mitigating Contradictions in Dialogue Based on Contrastive Learning ACL 2022 Mixed-modality Representation Learning and Pre-training for Joint Table-and-Text Retrieval in OpenQA EMNLP 2022 Negative Sample Matters: A Renaissance of Metric Learning for Temporal Grounding AAAI 2022 On the Surrogate Gap between Contrastive and Supervised Losses ICML 2022 Open World Classification with Adaptive Negative Samples EMNLP 2022 ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning ICML 2022 Recovering Gold from Black Sand: Multilingual Dense Passage Retrieval with Hard and False Negative Samples EMNLP 2022 Reduce Catastrophic Forgetting of Dense Retrieval Training with Teleportation Negatives EMNLP 2022 Rethinking InfoNCE: How Many Negative Samples Do You Need? IJCAI 2022 Rethinking Negative Sampling for Handling Missing Entity Annotations ACL 2022 Rethinking Self-Supervision Objectives for Generalizable Coherence Modeling ACL 2022 Sentence-aware Contrastive Learning for Open-Domain Passage Retrieval ACL 2022 SimANS: Simple Ambiguous Negatives Sampling for Dense Text Retrieval EMNLP 2022 SimKGC: Simple Contrastive Knowledge Graph Completion with Pre-trained Language Models ACL 2022 SueNes: A Weakly Supervised Approach to Evaluating Single-Document Summarization via Negative Sampling NAACL 2022 Trading Hard Negatives and True Negatives: A Debiased Contrastive Collaborative Filtering Approach IJCAI 2022 Variable-rate hierarchical CPC leads to acoustic unit discovery in speech NeurIPS 2022 Active Contrastive Learning of Audio-Visual Video Representations ICLR 2021 AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations From Self-Trained Negative Adversaries CVPR 2021 Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval ICLR 2021 Are Missing Links Predictable? An Inferential Benchmark for Knowledge Graph Completion ACL 2021 A Tale of Two Efficient and Informative Negative Sampling Distributions ICML 2021 CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive Summarization EMNLP 2021 Conditional Negative Sampling for Contrastive Learning of Visual Representations ICLR 2021 Contrastive Learning with Hard Negative Samples ICLR 2021