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← Learning Types
Deep Learning
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Learning Types
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Contrastive Learning
1193 directly classified papers
Papers per year
2010: 1
2013: 1
2018: 5
2019: 9
2020: 28
2021: 143
2022: 265
2023: 301
2024: 231
2025: 206
2026: 3
Papers
Bridging the Semantic Latent Space between Brain and Machine: Similarity Is All You Need
AAAI 2024
STYLIP: Multi-Scale Style-Conditioned Prompt Learning for CLIP-Based Domain Generalization
WACV 2024
Decoupled Contrastive Learning for Long-Tailed Recognition
AAAI 2024
Motif-Aware Riemannian Graph Neural Network with Generative-Contrastive Learning
AAAI 2024
ReGCL: Rethinking Message Passing in Graph Contrastive Learning
AAAI 2024
FastCLIPstyler: Optimisation-Free Text-Based Image Style Transfer Using Style Representations
WACV 2024
MPCoder: Multi-user Personalized Code Generator with Explicit and Implicit Style Representation Learning
ACL 2024
SDGMNet: Statistic-Based Dynamic Gradient Modulation for Local Descriptor Learning
AAAI 2024
What Do Language Models Hear? Probing for Auditory Representations in Language Models
ACL 2024
TPSeNCE: Towards Artifact-Free Realistic Rain Generation for Deraining and Object Detection in Rain
WACV 2024
Learning from History: Task-agnostic Model Contrastive Learning for Image Restoration
AAAI 2024
CLIM: Contrastive Language-Image Mosaic for Region Representation
AAAI 2024
DVANet: Disentangling View and Action Features for Multi-View Action Recognition
AAAI 2024
Face Identity-Aware Disentanglement in StyleGAN
WACV 2024
DocNLC: A Document Image Enhancement Framework with Normalized and Latent Contrastive Representation for Multiple Degradations
AAAI 2024
Masking Improves Contrastive Self-Supervised Learning for ConvNets, and Saliency Tells You Where
WACV 2024
Improving Graph Contrastive Learning via Adaptive Positive Sampling
CVPR 2024
SCD-Net: Spatiotemporal Clues Disentanglement Network for Self-Supervised Skeleton-Based Action Recognition
AAAI 2024
Text-Based Occluded Person Re-identification via Multi-Granularity Contrastive Consistency Learning
AAAI 2024
TF-CLIP: Learning Text-Free CLIP for Video-Based Person Re-identification
AAAI 2024
Towards More Faithful Natural Language Explanation Using Multi-Level Contrastive Learning in VQA
AAAI 2024
MoDE: CLIP Data Experts via Clustering
CVPR 2024
AGRaME: Any-Granularity Ranking with Multi-Vector Embeddings
EMNLP 2024
VideoCLIP-XL: Advancing Long Description Understanding for Video CLIP Models
EMNLP 2024
Understanding Dark Scenes by Contrasting Multi-Modal Observations
WACV 2024
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