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Contrastive Learning

3535 directly classified papers

Papers per year

Papers

Semi-Supervised Semantic Segmentation With Pixel-Level Contrastive Learning From a Class-Wise Memory Bank ICCV 2021
UMIC: An Unreferenced Metric for Image Captioning via Contrastive Learning ACL 2021
Cross-Modal Contrastive Learning for Text-to-Image Generation CVPR 2021
Learning View-Disentangled Human Pose Representation by Contrastive Cross-View Mutual Information Maximization CVPR 2021
CoLA: Weakly-Supervised Temporal Action Localization With Snippet Contrastive Learning CVPR 2021
On Contrastive Representations of Stochastic Processes NIPS 2021
Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning NIPS 2021
Task-Adaptive Neural Network Search with Meta-Contrastive Learning NIPS 2021
CROCS: Clustering and Retrieval of Cardiac Signals Based on Patient Disease Class, Sex, and Age NIPS 2021
Contrastive Learning for Neural Topic Model NIPS 2021
Improving Contrastive Learning on Imbalanced Data via Open-World Sampling NIPS 2021
Time-series Generation by Contrastive Imitation NIPS 2021
You Never Cluster Alone NIPS 2021
Contrast and Mix: Temporal Contrastive Video Domain Adaptation with Background Mixing NIPS 2021
Aligning Pretraining for Detection via Object-Level Contrastive Learning NIPS 2021
Learning Transferable Features for Point Cloud Detection via 3D Contrastive Co-training NIPS 2021
When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning? NIPS 2021
Supercharging Imbalanced Data Learning With Energy-based Contrastive Representation Transfer NIPS 2021
Non-local Latent Relation Distillation for Self-Adaptive 3D Human Pose Estimation NIPS 2021
Contextualized and Generalized Sentence Representations by Contrastive Self-Supervised Learning: A Case Study on Discourse Relation Analysis NAACL 2021
MirrorWiC: On Eliciting Word-in-Context Representations from Pretrained Language Models CONLL 2021
UNIMO: Towards Unified-Modal Understanding and Generation via Cross-Modal Contrastive Learning ACL 2021
ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning ACL 2021
Efficient Contrastive Learning via Novel Data Augmentation and Curriculum Learning EMNLP 2021
Rethinking Denoised Auto-Encoding in Language Pre-Training EMNLP 2021