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conftrace_

negative sampling

207 papers

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NS

Co-occurring keywords · papers mentioning both

contrastive learning (70) representation learning (37) word embedding (21) self-supervised learning (16) link prediction (16) graph neural network (13) unsupervised learning (12) knowledge graph completion (10) hard negative mining (9) knowledge graph embedding (9)

Papers

Learning the Unlearned: Mitigating Feature Suppression in Contrastive Learning ECCV 2024 On Softmax Direct Preference Optimization for Recommendation NeurIPS 2024 Plug-In Diffusion Model for Sequential Recommendation AAAI 2024 QUEST: Quadruple Multimodal Contrastive Learning with Constraints and Self-Penalization NeurIPS 2024 Relevance-aware Diverse Query Generation for Out-of-domain Text Ranking ACL 2024 Road Network Representation Learning with the Third Law of Geography NeurIPS 2024 Robust Frame-Semantic Models with Lexical Unit Trees and Negative Samples ACL 2024 TriSampler: A Better Negative Sampling Principle for Dense Retrieval AAAI 2024 Unified Interpretation of Smoothing Methods for Negative Sampling Loss Functions in Knowledge Graph Embedding ACL 2024 Anomaly Detection in Human Brain via Inductive Learning on Temporal Multiplex Networks MLHC 2023 Clustering-Aware Negative Sampling for Unsupervised Sentence Representation ACL 2023 CoDi: Co-evolving Contrastive Diffusion Models for Mixed-type Tabular Synthesis ICML 2023 Contrastive Learning for Inference in Dialogue EMNLP 2023 Contrastive learning for supervised graph matching UAI 2023 Difficulty-Based Sampling for Debiased Contrastive Representation Learning CVPR 2023 Don’t Mess with Mister-in-Between: Improved Negative Search for Knowledge Graph Completion EACL 2023 Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking NeurIPS 2023 From t-SNE to UMAP with contrastive learning ICLR 2023 Generate What You Prefer: Reshaping Sequential Recommendation via Guided Diffusion NeurIPS 2023 Global Selection of Contrastive Batches via Optimization on Sample Permutations ICML 2023 Hard Sample Aware Network for Contrastive Deep Graph Clustering AAAI 2023 Improving Knowledge Graph Completion with Generative Hard Negative Mining ACL 2023 Incorporating Unlikely Negative Cues for Distinctive Image Captioning IJCAI 2023 InfoNCE Loss Provably Learns Cluster-Preserving Representations COLT 2023 Learning to Retrieve Engaging Follow-Up Queries EACL 2023