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Contrastive Learning

403 directly classified papers

Papers per year

Papers

Weakly Supervised Temporal Sentence Grounding With Gaussian-Based Contrastive Proposal Learning CVPR 2022
Non-Linguistic Supervision for Contrastive Learning of Sentence Embeddings NIPS 2022
Use All the Labels: A Hierarchical Multi-Label Contrastive Learning Framework CVPR 2022
Modulated Contrast for Versatile Image Synthesis CVPR 2022
Blended Diffusion for Text-Driven Editing of Natural Images CVPR 2022
A Contrastive Framework for Neural Text Generation NIPS 2022
Improving Zero-Shot Generalization in Offline Reinforcement Learning using Generalized Similarity Functions NIPS 2022
Knowledge-Augmented Contrastive Learning for Abnormality Classification and Localization in Chest X-Rays With Radiomics Using a Feedback Loop WACV 2022
DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings NAACL 2022
KGE-CL: Contrastive Learning of Tensor Decomposition Based Knowledge Graph Embeddings COLING 2022
DialAug: Mixing up Dialogue Contexts in Contrastive Learning for Robust Conversational Modeling COLING 2022
E-VarM: Enhanced Variational Word Masks to Improve the Interpretability of Text Classification Models COLING 2022
DRK: Discriminative Rule-based Knowledge for Relieving Prediction Confusions in Few-shot Relation Extraction COLING 2022
COPNER: Contrastive Learning with Prompt Guiding for Few-shot Named Entity Recognition COLING 2022
Fine-tuning Pre-trained Language Models for Few-shot Intent Detection: Supervised Pre-training and Isotropization NAACL 2022
Label Anchored Contrastive Learning for Language Understanding NAACL 2022
Intent Detection and Discovery from User Logs via Deep Semi-Supervised Contrastive Clustering NAACL 2022
Domain Confused Contrastive Learning for Unsupervised Domain Adaptation NAACL 2022
EASE: Entity-Aware Contrastive Learning of Sentence Embedding NAACL 2022
Extreme Zero-Shot Learning for Extreme Text Classification NAACL 2022
Correct-N-Contrast: a Contrastive Approach for Improving Robustness to Spurious Correlations ICML 2022
CGMN: A Contrastive Graph Matching Network for Self-Supervised Graph Similarity Learning IJCAI 2022
Rethinking InfoNCE: How Many Negative Samples Do You Need? IJCAI 2022
Rethinking the Promotion Brought by Contrastive Learning to Semi-Supervised Node Classification IJCAI 2022
Function-words Adaptively Enhanced Attention Networks for Few-Shot Inverse Relation Classification IJCAI 2022