Representation Learning

Context Matters: Graph-based Self-supervised Representation Learning for Medical Images AAAI 2021 Context Reasoning Attention Network for Image Super-Resolution ICCV 2021 Contextualized and Generalized Sentence Representations by Contrastive Self-Supervised Learning: A Case Study on Discourse Relation Analysis NAACL 2021 Contextualized Embeddings Encode Monolingual and Cross-lingual Knowledge of Idiomaticity ACL 2021 Contextualized Query Embeddings for Conversational Search EMNLP 2021 Contextualized Rewriting for Text Summarization AAAI 2021 Contextual Similarity Aggregation with Self-attention for Visual Re-ranking NeurIPS 2021 Continual Prototype Evolution: Learning Online From Non-Stationary Data Streams ICCV 2021 Continual Representation Learning for Biometric Identification WACV 2021 Continual Semantic Segmentation via Repulsion-Attraction of Sparse and Disentangled Latent Representations CVPR 2021 Continuous Face Aging via Self-Estimated Residual Age Embedding CVPR 2021 Continuous Geodesic Convolutions for Learning on 3D Shapes WACV 2021 Continuous Latent Process Flows NeurIPS 2021 Continuous Mean-Covariance Bandits NeurIPS 2021 Contrasting distinct structured views to learn sentence embeddings EACL 2021 Contrastive Code Representation Learning EMNLP 2021 Contrastive Document Representation Learning with Graph Attention Networks EMNLP 2021 Contrastive Estimation Reveals Topic Posterior Information to Linear Models JMLR 2021 Contrastive Laplacian Eigenmaps NeurIPS 2021 Contrastive Learning for Neural Topic Model NeurIPS 2021 Contrastive learning, multi-view redundancy, and linear models ALT 2021 Contrastive Multimodal Fusion With TupleInfoNCE ICCV 2021 Contrastive Out-of-Distribution Detection for Pretrained Transformers EMNLP 2021 Contrastive prototype learning with augmented embeddings for few-shot learning UAI 2021 Contrastive Representation Learning for Exemplar-Guided Paraphrase Generation EMNLP 2021