Contrastive Learning
1,730 papers
Papers per year
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Papers
OmniVL: One Foundation Model for Image-Language and Video-Language Tasks
NeurIPS 2022
On Distribution Shift in Learning-based Bug Detectors
ICML 2022
One Model to Edit Them All: Free-Form Text-Driven Image Manipulation with Semantic Modulations
NeurIPS 2022
On Learning Contrastive Representations for Learning With Noisy Labels
CVPR 2022
Open-Topic False Information Detection on Social Networks with Contrastive Adversarial Learning
EMNLP 2022
Optimal Positive Generation via Latent Transformation for Contrastive Learning
NeurIPS 2022
PCL: Peer-Contrastive Learning with Diverse Augmentations for Unsupervised Sentence Embeddings
EMNLP 2022
PCL: Proxy-Based Contrastive Learning for Domain Generalization
CVPR 2022
Pneg: Prompt-based Negative Response Generation for Dialogue Response Selection Task
EMNLP 2022
PointCLIP: Point Cloud Understanding by CLIP
CVPR 2022
Point Cloud Pre-Training With Natural 3D Structures
CVPR 2022
Probabilistic Representations for Video Contrastive Learning
CVPR 2022
PromptBERT: Improving BERT Sentence Embeddings with Prompts
EMNLP 2022
PyramidCLIP: Hierarchical Feature Alignment for Vision-language Model Pretraining
NeurIPS 2022
QA Domain Adaptation using Hidden Space Augmentation and Self-Supervised Contrastive Adaptation
EMNLP 2022
Quality Not Quantity: On the Interaction between Dataset Design and Robustness of CLIP
NeurIPS 2022
RankGen: Improving Text Generation with Large Ranking Models
EMNLP 2022
Ranking Info Noise Contrastive Estimation: Boosting Contrastive Learning via Ranked Positives
AAAI 2022
Regional Semantic Contrast and Aggregation for Weakly Supervised Semantic Segmentation
CVPR 2022
RegionCLIP: Region-Based Language-Image Pretraining
CVPR 2022
RelCLIP: Adapting Language-Image Pretraining for Visual Relationship Detection via Relational Contrastive Learning
EMNLP 2022
Reliability Exploration with Self-Ensemble Learning for Domain Adaptive Person Re-identification
AAAI 2022
Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination
NeurIPS 2022
Rethinking InfoNCE: How Many Negative Samples Do You Need?
IJCAI 2022
Rethinking Minimal Sufficient Representation in Contrastive Learning
CVPR 2022