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contrastive learning

4032 papers

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Also known as

CL

Co-occurring keywords

representation learning (6206) self-supervised learning (3777) multimodal learning (4645) unsupervised learning (3264) graph neural network (3962) vision-language model (2348) zero-shot learning (3650) domain adaptation (4595) large language model (13587) transfer learning (5449)

Papers

DocNLC: A Document Image Enhancement Framework with Normalized and Latent Contrastive Representation for Multiple Degradations AAAI 2024
A Multimodal, Multi-Task Adapting Framework for Video Action Recognition AAAI 2024
HiHPQ: Hierarchical Hyperbolic Product Quantization for Unsupervised Image Retrieval AAAI 2024
Detect Any Keypoints: An Efficient Light-Weight Few-Shot Keypoint Detector AAAI 2024
Unsupervised Cross-Domain Image Retrieval via Prototypical Optimal Transport AAAI 2024
Leveraging Graph Structures to Detect Hallucinations in Large Language Models ACL 2024
KUL@SMM4H2024: Optimizing Text Classification with Quality-Assured Augmentation Strategies ACL 2024
Investigating Gender Bias in STEM Job Advertisements ACL 2024
AlexUNLP-BH at StanceEval2024: Multiple Contrastive Losses Ensemble Strategy with Multi-Task Learning For Stance Detection in Arabic ACL 2024
Addressing Order Sensitivity of In-Context Demonstration Examples in Causal Language Models ACL 2024
Hyper-CL: Conditioning Sentence Representations with Hypernetworks ACL 2024
Non-parametric Representation Learning with Kernels AAAI 2024
TopoGCL: Topological Graph Contrastive Learning AAAI 2024
ReGCL: Rethinking Message Passing in Graph Contrastive Learning AAAI 2024
PairCFR: Enhancing Model Training on Paired Counterfactually Augmented Data through Contrastive Learning ACL 2024
Knowledge Context Modeling with Pre-trained Language Models for Contrastive Knowledge Graph Completion ACL 2024
AraCLIP: Cross-Lingual Learning for Effective Arabic Image Retrieval ACL 2024
RA2FD: Distilling Faithfulness into Efficient Dialogue Systems EMNLP 2024
Improving Knowledge Graph Completion with Structure-Aware Supervised Contrastive Learning EMNLP 2024
Cluster-Norm for Unsupervised Probing of Knowledge EMNLP 2024
Pcc-tuning: Breaking the Contrastive Learning Ceiling in Semantic Textual Similarity EMNLP 2024
DC-Instruct: An Effective Framework for Generative Multi-intent Spoken Language Understanding EMNLP 2024
Local Contrastive Editing of Gender Stereotypes EMNLP 2024
FairFlow: Mitigating Dataset Biases through Undecided Learning for Natural Language Understanding EMNLP 2024
INDUS: Effective and Efficient Language Models for Scientific Applications EMNLP 2024