contrastive learning

3979 papers

Also known as

CONTRASTIVE-IDM COCLR CMS CL HINCE CPL CA CPC CLUE RINCE LCA FCL SC CACO CLR JCL ITC SCL SOFT-IC MNR CBL SOLAR SUPCON NT-XENT KCL GACL SEMCL CRS CVCL MCR DML NCCL CLKS CLIP CLAP COLAM GCL SIMCTG NCL INFONCE NCE DCL ICOL LCL CCL

Co-occurring keywords

representation learning (6174) self-supervised learning (3751) multimodal learning (4622) unsupervised learning (3255) graph neural network (3945) vision-language model (2235) zero-shot learning (3637) domain adaptation (4578) large language model (12755) transfer learning (5442)

Papers

SimCSE++: Improving Contrastive Learning for Sentence Embeddings from Two Perspectives EMNLP 2023

Multi-view Contrastive Learning for Entity Typing over Knowledge Graphs EMNLP 2023

Towards Unsupervised Recognition of Token-level Semantic Differences in Related Documents EMNLP 2023

Rationale-Enhanced Language Models are Better Continual Relation Learners EMNLP 2023

Target-Agnostic Gender-Aware Contrastive Learning for Mitigating Bias in Multilingual Machine Translation EMNLP 2023

Dual Contrastive Learning Framework for Incremental Text Classification EMNLP 2023

ReFSQL: A Retrieval-Augmentation Framework for Text-to-SQL Generation EMNLP 2023

MAPConNet: Self-supervised 3D Pose Transfer with Mesh and Point Contrastive Learning ICCV 2023

Point Contrastive Prediction with Semantic Clustering for Self-Supervised Learning on Point Cloud Videos ICCV 2023

LA-Net: Landmark-Aware Learning for Reliable Facial Expression Recognition under Label Noise ICCV 2023

Contrastive Feature Masking Open-Vocabulary Vision Transformer ICCV 2023

CiT: Curation in Training for Effective Vision-Language Data ICCV 2023

CONGREGATE: Contrastive Graph Clustering in Curvature Spaces IJCAI 2023

Event Ontology Completion with Hierarchical Structure Evolution Networks EMNLP 2023

Coarse-to-Fine Contrastive Learning in Image-Text-Graph Space for Improved Vision-Language Compositionality EMNLP 2023

Combining Denoising Autoencoders with Contrastive Learning to fine-tune Transformer Models EMNLP 2023

Learning the Visualness of Text Using Large Vision-Language Models EMNLP 2023

Adaptive End-to-End Metric Learning for Zero-Shot Cross-Domain Slot Filling EMNLP 2023

Granularity Matters: Pathological Graph-driven Cross-modal Alignment for Brain CT Report Generation EMNLP 2023

OssCSE: Overcoming Surface Structure Bias in Contrastive Learning for Unsupervised Sentence Embedding EMNLP 2023

StrAE: Autoencoding for Pre-Trained Embeddings using Explicit Structure EMNLP 2023

Anchoring Fine-tuning of Sentence Transformer with Semantic Label Information for Efficient Truly Few-shot Classification EMNLP 2023

Improving Unsupervised Relation Extraction by Augmenting Diverse Sentence Pairs EMNLP 2023

Rethinking Negative Pairs in Code Search EMNLP 2023

Learning Knowledge-Enhanced Contextual Language Representations for Domain Natural Language Understanding EMNLP 2023