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STS

Papers

Showing 276300 of 334 papers

TitleStatusHype
Rule-based vs. Neural Net Approaches to Semantic Textual Similarity0
Seed-to-Seed: Image Translation in Diffusion Seed Space0
Self-Adaptive Reconstruction with Contrastive Learning for Unsupervised Sentence Embeddings0
Learning Semantic Textual Similarity from ConversationsCode0
Unmasking the Role of Remote Sensors in Comfort, Energy and Demand ResponseCode0
Unsupervised hard Negative Augmentation for contrastive learningCode0
Linguistically Conditioned Semantic Textual SimilarityCode0
Unsupervised Natural Language Inference via Decoupled Multimodal Contrastive LearningCode0
Contrastive Learning in Distilled ModelsCode0
ConCSE: Unified Contrastive Learning and Augmentation for Code-Switched EmbeddingsCode0
JCSE: Contrastive Learning of Japanese Sentence Embeddings and Its ApplicationsCode0
Instance Smoothed Contrastive Learning for Unsupervised Sentence EmbeddingCode0
Are ELECTRA's Sentence Embeddings Beyond Repair? The Case of Semantic Textual SimilarityCode0
Don't Judge a Language Model by Its Last Layer: Contrastive Learning with Layer-Wise Attention PoolingCode0
Compressing Sentence Representation for Semantic Retrieval via Homomorphic Projective DistillationCode0
Space Decomposition for Sentence EmbeddingCode0
Improving Sentence Embeddings with Automatic Generation of Training Data Using Few-shot ExamplesCode0
Improving Multi-lingual Alignment Through Soft Contrastive LearningCode0
Missing Data Reconstruction in Remote Sensing image with a Unified Spatial-Temporal-Spectral Deep Convolutional Neural NetworkCode0
Enhancing Text Generation with Cooperative TrainingCode0
Model Comparison for Semantic GroupingCode0
Improving Contrastive Learning of Sentence Embeddings with Focal-InfoNCECode0
Self-supervised contrastive learning unveils cortical folding pattern linked to prematurityCode0
Graph Component Contrastive Learning for Concept Relatedness EstimationCode0
Characterizing the limits of human stability during motion: perturbative experiment validates a model-based approach for the Sit-to-Stand taskCode0
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