Contrastive Learning
1,730 papers
Papers per year
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Papers
CGIM: A Cycle Guided Interactive Learning Model for Consistency Identification in Task-oriented Dialogue
COLING 2022
CGMN: A Contrastive Graph Matching Network for Self-Supervised Graph Similarity Learning
IJCAI 2022
CILDA: Contrastive Data Augmentation Using Intermediate Layer Knowledge Distillation
COLING 2022
Class-Aware Contrastive Semi-Supervised Learning
CVPR 2022
CLIP-Event: Connecting Text and Images With Event Structures
CVPR 2022
CLIP-NeRF: Text-and-Image Driven Manipulation of Neural Radiance Fields
CVPR 2022
CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP
NeurIPS 2022
CLOWER: A Pre-trained Language Model with Contrastive Learning over Word and Character Representations
COLING 2022
CoCoS: Enhancing Semi-supervised Learning on Graphs with Unlabeled Data via Contrastive Context Sharing
AAAI 2022
CODE: Contrastive Pre-training with Adversarial Fine-Tuning for Zero-Shot Expert Linking
AAAI 2022
CodeRetriever: A Large Scale Contrastive Pre-Training Method for Code Search
EMNLP 2022
Co-Modality Graph Contrastive Learning for Imbalanced Node Classification
NeurIPS 2022
Conditioned Masked Language and Image Modeling for Image-Text Dense Retrieval
EMNLP 2022
CONFIT: Toward Faithful Dialogue Summarization with Linguistically-Informed Contrastive Fine-tuning
NAACL 2022
Con-NAT: Contrastive Non-autoregressive Neural Machine Translation
EMNLP 2022
Consistent Representation Learning for Continual Relation Extraction
ACL 2022
Constrained Contrastive Reinforcement Learning
ACML 2022
CONTaiNER: Few-Shot Named Entity Recognition via Contrastive Learning
ACL 2022
Contextualized Spatio-Temporal Contrastive Learning With Self-Supervision
CVPR 2022
Contextual Outpainting With Object-Level Contrastive Learning
CVPR 2022
Contrast-Enhanced Semi-supervised Text Classification with Few Labels
AAAI 2022
Contrasting the landscape of contrastive and non-contrastive learning
AISTATS 2022
Contrastive Adapters for Foundation Model Group Robustness
NeurIPS 2022
Contrastive and Non-Contrastive Self-Supervised Learning Recover Global and Local Spectral Embedding Methods
NeurIPS 2022
Contrastive Clustering to Mine Pseudo Parallel Data for Unsupervised Translation
ICLR 2022