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Showing 2650 of 334 papers

TitleStatusHype
MedSTS: A Resource for Clinical Semantic Textual SimilarityCode1
A Sentence is Worth 128 Pseudo Tokens: A Semantic-Aware Contrastive Learning Framework for Sentence EmbeddingsCode1
AMR-DA: Data Augmentation by Abstract Meaning RepresentationCode1
Improving Contrastive Learning of Sentence Embeddings from AI FeedbackCode1
Pixel Sentence Representation LearningCode1
English Contrastive Learning Can Learn Universal Cross-lingual Sentence EmbeddingsCode1
DefSent: Sentence Embeddings using Definition SentencesCode1
DistilCSE: Effective Knowledge Distillation For Contrastive Sentence EmbeddingsCode1
ESimCSE: Enhanced Sample Building Method for Contrastive Learning of Unsupervised Sentence EmbeddingCode1
BatchSampler: Sampling Mini-Batches for Contrastive Learning in Vision, Language, and GraphsCode1
DenoSent: A Denoising Objective for Self-Supervised Sentence Representation LearningCode1
An Efficient Self-Supervised Cross-View Training For Sentence EmbeddingCode1
EASE: Entity-Aware Contrastive Learning of Sentence EmbeddingCode1
An Attribution Method for Siamese EncodersCode1
Bootstrapped Unsupervised Sentence Representation LearningCode1
Improved Universal Sentence Embeddings with Prompt-based Contrastive Learning and Energy-based LearningCode1
ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation TransferCode1
Fast, Effective, and Self-Supervised: Transforming Masked Language Models into Universal Lexical and Sentence EncodersCode1
Compositional Evaluation on Japanese Textual Entailment and SimilarityCode1
Generate, Discriminate and Contrast: A Semi-Supervised Sentence Representation Learning FrameworkCode1
Clustering-Aware Negative Sampling for Unsupervised Sentence RepresentationCode1
Deep Representational Re-tuning using Contrastive TensionCode1
Exploring the Impact of Negative Samples of Contrastive Learning: A Case Study of Sentence EmbeddingCode1
KorNLI and KorSTS: New Benchmark Datasets for Korean Natural Language UnderstandingCode1
In Defense of Image Pre-Training for Spatiotemporal RecognitionCode1
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