Contrastive Learning
3,748 papers
Papers per year
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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