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Contrastive Learning

3,748 papers

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Papers

Relation Extraction with Weighted Contrastive Pre-training on Distant Supervision EACL 2023 Relaxing Contrastiveness in Multimodal Representation Learning WACV 2023 Representation Disentanglement in Generative Models With Contrastive Learning WACV 2023 Reproducible Scaling Laws for Contrastive Language-Image Learning CVPR 2023 Residual Pattern Learning for Pixel-Wise Out-of-Distribution Detection in Semantic Segmentation ICCV 2023 Rethinking Alignment and Uniformity in Unsupervised Image Semantic Segmentation AAAI 2023 Rethinking Negative Pairs in Code Search EMNLP 2023 Rethinking Rotation in Self-Supervised Contrastive Learning: Adaptive Positive or Negative Data Augmentation WACV 2023 Rethinking Semi-Supervised Medical Image Segmentation: A Variance-Reduction Perspective NeurIPS 2023 Rethinking Weak Supervision in Helping Contrastive Learning ICML 2023 Retrofitting Light-weight Language Models for Emotions using Supervised Contrastive Learning EMNLP 2023 Revisiting Multimodal Representation in Contrastive Learning: From Patch and Token Embeddings to Finite Discrete Tokens CVPR 2023 Robust Contrastive Language-Image Pretraining against Data Poisoning and Backdoor Attacks NeurIPS 2023 RobustEmbed: Robust Sentence Embeddings Using Self-Supervised Contrastive Pre-Training EMNLP 2023 Robustification of Multilingual Language Models to Real-world Noise in Crosslingual Zero-shot Settings with Robust Contrastive Pretraining EACL 2023 Robust Representation Learning with Reliable Pseudo-labels Generation via Self-Adaptive Optimal Transport for Short Text Clustering ACL 2023 Rule By Example: Harnessing Logical Rules for Explainable Hate Speech Detection ACL 2023 RVCL: Evaluating the Robustness of Contrastive Learning via Verification JMLR 2023 SAD: Semi-Supervised Anomaly Detection on Dynamic Graphs IJCAI 2023 Sample4Geo: Hard Negative Sampling For Cross-View Geo-Localisation ICCV 2023 Sample and Predict Your Latent: Modality-free Sequential Disentanglement via Contrastive Estimation ICML 2023 Sample-Specific Debiasing for Better Image-Text Models MLHC 2023 SamToNe: Improving Contrastive Loss for Dual Encoder Retrieval Models with Same Tower Negatives ACL 2023 Scaling Law for Recommendation Models: Towards General-Purpose User Representations AAAI 2023 Scene Graph Contrastive Learning for Embodied Navigation ICCV 2023