Contrastive Learning

MAFA: Managing False Negatives for Vision-Language Pre-training CVPR 2024 Magnushammer: A Transformer-Based Approach to Premise Selection ICLR 2024 MaskCLR: Attention-Guided Contrastive Learning for Robust Action Representation Learning CVPR 2024 Masked Collaborative Contrast for Weakly Supervised Semantic Segmentation WACV 2024 Masking Improves Contrastive Self-Supervised Learning for ConvNets, and Saliency Tells You Where WACV 2024 Matching Varying-Length Texts via Topic-Informed and Decoupled Sentence Embeddings NAACL 2024 MccSTN: Multi-Scale Contrast and Fine-Grained Feature Fusion Networks for Subject-driven Style Transfer COLING 2024 MCL-NER: Cross-Lingual Named Entity Recognition via Multi-View Contrastive Learning AAAI 2024 MCSSME: Multi-Task Contrastive Learning for Semi-supervised Singing Melody Extraction from Polyphonic Music AAAI 2024 MHGRL: An Effective Representation Learning Model for Electronic Health Records COLING 2024 Mind the Gap Between Prototypes and Images in Cross-domain Finetuning NeurIPS 2024 Mind Your Neighbours: Leveraging Analogous Instances for Rhetorical Role Labeling for Legal Documents COLING 2024 MiniConGTS: A Near Ultimate Minimalist Contrastive Grid Tagging Scheme for Aspect Sentiment Triplet Extraction EMNLP 2024 Mining and Transferring Feature-Geometry Coherence for Unsupervised Point Cloud Registration NeurIPS 2024 Mining and Unifying Heterogeneous Contrastive Relations for Weakly-Supervised Actor-Action Segmentation WACV 2024 Mining Gaze for Contrastive Learning toward Computer-Assisted Diagnosis AAAI 2024 MISTI: Metadata-Informed Scientific Text and Image Representation through Contrastive Learning ACL 2024 MIST: Mutual Information Maximization for Short Text Clustering ACL 2024 Mitigating Hallucinations in Large Vision-Language Models with Instruction Contrastive Decoding ACL 2024 Mitigating Idiom Inconsistency: A Multi-Semantic Contrastive Learning Method for Chinese Idiom Reading Comprehension AAAI 2024 Mitigating Linguistic Artifacts in Emotion Recognition for Conversations from TV Scripts to Daily Conversations COLING 2024 Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation EMNLP 2024 Mitigating the Impact of False Negative in Dense Retrieval with Contrastive Confidence Regularization AAAI 2024 Mixture of Demonstrations for In-Context Learning NeurIPS 2024 MKeCL: Medical Knowledge-Enhanced Contrastive Learning for Few-shot Disease Diagnosis COLING 2024