conftrace_

contrastive learning

4,492 papers

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Also known as

CL

Co-occurring keywords · papers mentioning both

representation learning (960) self-supervised learning (717) multimodal learning (386) vision-language model (263) unsupervised learning (225) graph neural network (224) zero-shot learning (214) domain adaptation (178) large language model (174) knowledge distillation (169)

Papers

Event-Based Contrastive Learning for Medical Time Series MLHC 2024 Event-enhanced Retrieval in Real-time Search COLING 2024 Event Representation Learning with Multi-Grained Contrastive Learning and Triple-Mixture of Experts COLING 2024 Evolutionary Contrastive Distillation for Language Model Alignment EMNLP 2024 Expediting Contrastive Language-Image Pretraining via Self-Distilled Encoders AAAI 2024 Explaining Time Series via Contrastive and Locally Sparse Perturbations ICLR 2024 Exploitation of a Latent Mechanism in Graph Contrastive Learning: Representation Scattering NeurIPS 2024 Exploiting Auxiliary Caption for Video Grounding AAAI 2024 Exploiting Descriptive Completeness Prior for Cross Modal Hashing with Incomplete Labels NeurIPS 2024 Exploiting Style Latent Flows for Generalizing Deepfake Video Detection CVPR 2024 Exploring the Potential of Dense Information in Multimodal Alignment ACL 2024 Exploring the Trade-off Between Model Performance and Explanation Plausibility of Text Classifiers Using Human Rationales NAACL 2024 Extending Multi-modal Contrastive Representations NeurIPS 2024 Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs CVPR 2024 Facilitating Multimodal Classification via Dynamically Learning Modality Gap NeurIPS 2024 FACL-Attack: Frequency-Aware Contrastive Learning for Transferable Adversarial Attacks AAAI 2024 FaiMA: Feature-aware In-context Learning for Multi-domain Aspect-based Sentiment Analysis COLING 2024 FairEHR-CLP: Towards Fairness-Aware Clinical Predictions with Contrastive Learning in Multimodal Electronic Health Records MLHC 2024 FairFlow: Mitigating Dataset Biases through Undecided Learning for Natural Language Understanding EMNLP 2024 Fair-VPT: Fair Visual Prompt Tuning for Image Classification CVPR 2024 FedDGL: Federated Dynamic Graph Learning for Temporal Evolution and Data Heterogeneity ACML 2024 Federated Document-Level Biomedical Relation Extraction with Localized Context Contrast COLING 2024 Federated Generalized Category Discovery CVPR 2024 Federated Graph Learning under Domain Shift with Generalizable Prototypes AAAI 2024 Federated Text-driven Prompt Generation for Vision-Language Models ICLR 2024