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← Learning Types
Machine Learning
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Learning Types
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Contrastive Learning
3,535 papers
Papers per year
2011: 1
2013: 1
2014: 1
2017: 3
2018: 10
2019: 26
2020: 88
2021: 394
2022: 627
2023: 852
2024: 698
2025: 616
2026: 218
Papers
RA2FD: Distilling Faithfulness into Efficient Dialogue Systems
EMNLP 2024
FairFlow: Mitigating Dataset Biases through Undecided Learning for Natural Language Understanding
EMNLP 2024
W-GVKT: Within-Global-View Knowledge Transfer for Speaker Verification
INTERSPEECH 2024
AutoLTS: Automating Cycling Stress Assessment via Contrastive Learning and Spatial Post-processing
AAAI 2024
SaCo Loss: Sample-wise Affinity Consistency for Vision-Language Pre-training
CVPR 2024
Improving Discriminative Capability of Reward Models in RLHF Using Contrastive Learning
EMNLP 2024
Self-Promoted Clustering-based Contrastive Learning for Brain Networks Pretraining
IJCAI 2024
Leveraging Catastrophic Forgetting to Develop Safe Diffusion Models against Malicious Finetuning
NIPS 2024
CAMEL: Capturing Metaphorical Alignment with Context Disentangling for Multimodal Emotion Recognition
AAAI 2024
Efficient Representation Learning of Satellite Image Time Series and Their Fusion for Spatiotemporal Applications
AAAI 2024
Label Supervised Contrastive Learning for Imbalanced Text Classification in Euclidean and Hyperbolic Embedding Spaces
EACL 2024
Class-consistent Contrastive Learning Driven Cross-dimensional Transformer for 3D Medical Image Classification
IJCAI 2024
Cross-Sentence Gloss Consistency for Continuous Sign Language Recognition
AAAI 2024
Face Identity-Aware Disentanglement in StyleGAN
WACV 2024
Text-to-Song: Towards Controllable Music Generation Incorporating Vocal and Accompaniment
ACL 2024
The Benefits of Balance: From Information Projections to Variance Reduction
NIPS 2024
Distribution-Independent Cell Type Identification for Single-Cell RNA-seq Data
IJCAI 2024
Enhancing Multimodal Knowledge Graph Representation Learning through Triple Contrastive Learning
IJCAI 2024
Hierarchical Object-Aware Dual-Level Contrastive Learning for Domain Generalized Stereo Matching
NIPS 2024
Interpretable Composition Attribution Enhancement for Visio-linguistic Compositional Understanding
EMNLP 2024
A Generic Method for Fine-grained Category Discovery in Natural Language Texts
EMNLP 2024
High-Order Structure Based Middle-Feature Learning for Visible-Infrared Person Re-identification
AAAI 2024
M33D: Learning 3D Priors Using Multi-Modal Masked Autoencoders for 2D Image and Video Understanding
WACV 2024
Team MGTD4ADL at SemEval-2024 Task 8: Leveraging (Sentence) Transformer Models with Contrastive Learning for Identifying Machine-Generated Text
NAACL 2024
Contrastive Learning to Improve Retrieval for Real-World Fact Checking
EMNLP 2024
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