Contrastive Learning

Few-Shot Pidgin Text Adaptation via Contrastive Fine-Tuning COLING 2022 FineDiving: A Fine-Grained Dataset for Procedure-Aware Action Quality Assessment CVPR 2022 Fine-grained Contrastive Learning for Relation Extraction EMNLP 2022 Fine-Grained Temporal Contrastive Learning for Weakly-Supervised Temporal Action Localization CVPR 2022 Fine-tuning Pre-trained Language Models for Few-shot Intent Detection: Supervised Pre-training and Isotropization NAACL 2022 Fingerprinting Deep Neural Networks Globally via Universal Adversarial Perturbations CVPR 2022 Frequency-Aware Contrastive Learning for Neural Machine Translation AAAI 2022 From Dense to Sparse: Contrastive Pruning for Better Pre-trained Language Model Compression AAAI 2022 From Video to Images: Contrastive Pretraining for Emotion Recognition from Single Image (Student Abstract) AAAI 2022 Function-words Adaptively Enhanced Attention Networks for Few-Shot Inverse Relation Classification IJCAI 2022 Generate, Discriminate and Contrast: A Semi-Supervised Sentence Representation Learning Framework EMNLP 2022 Generative Data Augmentation with Contrastive Learning for Zero-Shot Stance Detection EMNLP 2022 Geometric Anchor Correspondence Mining With Uncertainty Modeling for Universal Domain Adaptation CVPR 2022 Geometric Multimodal Contrastive Representation Learning ICML 2022 GeomGCL: Geometric Graph Contrastive Learning for Molecular Property Prediction AAAI 2022 GL-CLeF: A Global–Local Contrastive Learning Framework for Cross-lingual Spoken Language Understanding ACL 2022 HCL-TAT: A Hybrid Contrastive Learning Method for Few-shot Event Detection with Task-Adaptive Threshold EMNLP 2022 HCSC: Hierarchical Contrastive Selective Coding CVPR 2022 Hierarchical Image Generation via Transformer-Based Sequential Patch Selection AAAI 2022 Id-Free Person Similarity Learning CVPR 2022 Improved Text Classification via Contrastive Adversarial Training AAAI 2022 Improved Universal Sentence Embeddings with Prompt-based Contrastive Learning and Energy-based Learning EMNLP 2022 Improve Interpretability of Neural Networks via Sparse Contrastive Coding EMNLP 2022 Improving Deep Embedded Clustering via Learning Cluster-level Representations COLING 2022 Improving Word Translation via Two-Stage Contrastive Learning ACL 2022