contrastive learning

What Should Not Be Contrastive in Contrastive Learning ICLR 2021 When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning? NeurIPS 2021 Whitening for Self-Supervised Representation Learning ICML 2021 With a Little Help From My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations ICCV 2021 xMoCo: Cross Momentum Contrastive Learning for Open-Domain Question Answering ACL 2021 You Never Cluster Alone NeurIPS 2021 Adversarial Self-Supervised Contrastive Learning NeurIPS 2020 A Forest from the Trees: Generation through Neighborhoods AAAI 2020 ALICE: Active Learning with Contrastive Natural Language Explanations EMNLP 2020 A Metric Learning Approach to Misogyny Categorization ACL 2020 A Risk Communication Event Detection Model via Contrastive Learning COLING 2020 A Simple Framework for Contrastive Learning of Visual Representations ICML 2020 Asymmetric Distribution Measure for Few-shot Learning IJCAI 2020 Big Self-Supervised Models are Strong Semi-Supervised Learners NeurIPS 2020 Bi-Objective Continual Learning: Learning ‘New’ While Consolidating ‘Known’ AAAI 2020 Bootstrap Your Own Latent - A New Approach to Self-Supervised Learning NeurIPS 2020 Channel Interaction Networks for Fine-Grained Image Categorization AAAI 2020 CLOUD: Contrastive Learning of Unsupervised Dynamics CoRL 2020 CLUB: A Contrastive Log-ratio Upper Bound of Mutual Information ICML 2020 CoMIR: Contrastive Multimodal Image Representation for Registration NeurIPS 2020 Composed Variational Natural Language Generation for Few-shot Intents EMNLP 2020 Context-Aware Group Captioning via Self-Attention and Contrastive Features CVPR 2020 ContraGAN: Contrastive Learning for Conditional Image Generation NeurIPS 2020 Contrastive Distillation on Intermediate Representations for Language Model Compression EMNLP 2020 Contrastive learning of global and local features for medical image segmentation with limited annotations NeurIPS 2020