Contrastive Learning

Generating Coherent Narratives by Learning Dynamic and Discrete Entity States with a Contrastive Framework AAAI 2023 Generative Image Inpainting with Segmentation Confusion Adversarial Training and Contrastive Learning AAAI 2023 GENNAPE: Towards Generalized Neural Architecture Performance Estimators AAAI 2023 Geodesic Multi-Modal Mixup for Robust Fine-Tuning NeurIPS 2023 GeoLM: Empowering Language Models for Geospatially Grounded Language Understanding EMNLP 2023 GLCC: A General Framework for Graph-Level Clustering AAAI 2023 Global and Local Hierarchy-aware Contrastive Framework for Implicit Discourse Relation Recognition ACL 2023 Global-Local Self-Distillation for Visual Representation Learning WACV 2023 Global Selection of Contrastive Batches via Optimization on Sample Permutations ICML 2023 Gloss-Free End-to-End Sign Language Translation ACL 2023 GPMO: Gradient Perturbation-Based Contrastive Learning for Molecule Optimization IJCAI 2023 GRACE: Discriminator-Guided Chain-of-Thought Reasoning EMNLP 2023 Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View AAAI 2023 Graph Component Contrastive Learning for Concept Relatedness Estimation AAAI 2023 Graph Contrastive Backdoor Attacks ICML 2023 Graph Contrastive Learning for Skeleton-based Action Recognition ICLR 2023 Graph Contrastive Learning with Group Whitening ACML 2023 Graph Contrastive Learning with Stable and Scalable Spectral Encoding NeurIPS 2023 Graph Ordering Attention Networks AAAI 2023 Graph Sampling-based Meta-Learning for Molecular Property Prediction IJCAI 2023 GrowCLIP: Data-Aware Automatic Model Growing for Large-scale Contrastive Language-Image Pre-Training ICCV 2023 Guiding Energy-based Models via Contrastive Latent Variables ICLR 2023 HAAV: Hierarchical Aggregation of Augmented Views for Image Captioning CVPR 2023 Hallucination Detection for Grounded Instruction Generation EMNLP 2023 Hallucination Improves the Performance of Unsupervised Visual Representation Learning ICCV 2023