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Methodology
← Learning Types
Machine Learning
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Contrastive Learning
3535 directly classified 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
A Self-Supervised Mixed-Curvature Graph Neural Network
AAAI 2022
TiGAN: Text-Based Interactive Image Generation and Manipulation
AAAI 2022
Contrastive Spatio-Temporal Pretext Learning for Self-Supervised Video Representation
AAAI 2022
Image Difference Captioning with Pre-training and Contrastive Learning
AAAI 2022
Neighborhood Consensus Contrastive Learning for Backward-Compatible Representation
AAAI 2022
CQA-Face: Contrastive Quality-Aware Attentions for Face Recognition
AAAI 2022
Un-mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning
AAAI 2022
Unsupervised Representation for Semantic Segmentation by Implicit Cycle-Attention Contrastive Learning
AAAI 2022
Towards Versatile Pedestrian Detector with Multisensory-Matching and Multispectral Recalling Memory
AAAI 2022
Contrastive Learning from Extremely Augmented Skeleton Sequences for Self-Supervised Action Recognition
AAAI 2022
InsCLR: Improving Instance Retrieval with Self-Supervision
AAAI 2022
SimCTC: A Simple Contrast Learning Method of Text Clustering (Student Abstract)
AAAI 2022
From Video to Images: Contrastive Pretraining for Emotion Recognition from Single Image (Student Abstract)
AAAI 2022
CODE: Contrastive Pre-training with Adversarial Fine-Tuning for Zero-Shot Expert Linking
AAAI 2022
Molecular Contrastive Learning with Chemical Element Knowledge Graph
AAAI 2022
Towards Automated Dialog Personalization using MBTI Personality Indicators
INTERSPEECH 2022
Multi-Modal Multi-Correlation Learning for Audio-Visual Speech Separation
INTERSPEECH 2022
End-to-end framework for spoof-aware speaker verification
INTERSPEECH 2022
Exploring representation learning for small-footprint keyword spotting
INTERSPEECH 2022
Automatic Data Augmentation Selection and Parametrization in Contrastive Self-Supervised Speech Representation Learning
INTERSPEECH 2022
Class-Aware Distribution Alignment based Unsupervised Domain Adaptation for Speaker Verification
INTERSPEECH 2022
Improving Spoken Language Understanding with Cross-Modal Contrastive Learning
INTERSPEECH 2022
Keyword Spotting with Synthetic Data using Heterogeneous Knowledge Distillation
INTERSPEECH 2022
mcBERT: Momentum Contrastive Learning with BERT for Zero-Shot Slot Filling
INTERSPEECH 2022
Cross-modal Transfer Learning via Multi-grained Alignment for End-to-End Spoken Language Understanding
INTERSPEECH 2022
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