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conftrace_

negative sampling

207 papers

NS

Papers

Adaptive Diffusion-based Augmentation for Recommendation AAAI 2026 ARNS: Adaptive Relation-Aware Negative Sampling with Curriculum Learning for Inductive Knowledge Graph Completion AAAI 2026 ConRAS: Contrastive In-context Learning Framework for Retrieval-Augmented Summarization EACL 2026 DANS-KGC: Diffusion Based Adaptive Negative Sampling for Knowledge Graph Completion AAAI 2026 FALCON: False-Negative Aware Learning of Contrastive Negatives in Vision-Language Alignment CVPR 2026 Graph Contrastive Learning with Balanced Hard Negatives and Fine-grained Semantic-aware Positives AAAI 2026 Hard vs. Noise: Resolving Hard-Noisy Sample Confusion in Recommender Systems via Large Language Models AAAI 2026 IdealTSF: Can Non-Ideal Data Contribute to Enhancing the Performance of Time Series Forecasting Models? AAAI 2026 Improving the Accuracy of Dense Retrieval on the Quantized Indexes via Gradient Optimization of the Target Embeddings AAAI 2026 Negative-Aware Diffusion Process for Temporal Knowledge Graph Extrapolation EACL 2026 Negative Sampling Techniques in Dense Retrieval: A Survey EACL 2026 Sigmoid Head for Quality Estimation under Language Ambiguity ACL 2026 Aligning Composed Query with Image via Discriminative Perception from Negative Correspondences AAAI 2025 Balancing User-Item Structure and Interaction with Large Language Models and Optimal Transport for Multimedia Recommendation IJCAI 2025 Boosting Masked ECG-Text Auto-Encoders as Discriminative Learners ICML 2025 Both Supply and Precision: Sample Debias and Ranking Consistency Joint Learning for Large Scale Pre-Ranking System AAAI 2025 Can Text-to-Video Generation help Video-Language Alignment? CVPR 2025 Curriculum Conditioned Diffusion for Multimodal Recommendation AAAI 2025 Does GCL Need a Large Number of Negative Samples? Enhancing Graph Contrastive Learning with Effective and Efficient Negative Sampling AAAI 2025 Dynamic Energy-Based Contrastive Learning with Multi-Stage Knowledge Verification for Event Causality Identification EMNLP 2025 Enhancing Fine-Grained Vision-Language Pretraining with Negative Augmented Samples AAAI 2025 Evaluating Design Decisions for Dual Encoder-based Entity Disambiguation ACL 2025 Expanding the Scope of Negatives: Boosting Image-Text Matching with Negatives Distribution Guided Learning AAAI 2025 Federated Graph Anomaly Detection Through Contrastive Learning with Global Negative Pairs AAAI 2025 FS-KEN: Few-shot Knowledge Graph Reasoning by Adversarial Negative Enhancing IJCAI 2025