conftrace_
← Core Methods
Machine Learning › Core Methods ›

Embedding Learning

3,751 papers

Papers per year

Papers

PairRE: Knowledge Graph Embeddings via Paired Relation Vectors IJCNLP 2021
Spectral embedding for dynamic networks with stability guarantees NIPS 2021
Learning to Distill Convolutional Features Into Compact Local Descriptors WACV 2021
Identifying Distributional Perspectives from Colingual Groups NAACL 2021
Self-Promoted Prototype Refinement for Few-Shot Class-Incremental Learning CVPR 2021
Representation Learning Through Latent Canonicalizations WACV 2021
Data Collection vs. Knowledge Graph Completion: What is Needed to Improve Coverage? EMNLP 2021
Attentional Pyramid Pooling of Salient Visual Residuals for Place Recognition ICCV 2021
Variational Information Bottleneck Based Regularization for Speaker Recognition INTERSPEECH 2021
Point Cloud Instance Segmentation Using Probabilistic Embeddings CVPR 2021
Adapting Speaker Embeddings for Speaker Diarisation INTERSPEECH 2021
Patch2CAD: Patchwise Embedding Learning for In-the-Wild Shape Retrieval From a Single Image ICCV 2021
Modeling Transitions of Focal Entities for Conversational Knowledge Base Question Answering ACL 2021
Linguistic change and historical periodization of Old Literary Finnish ACL 2021
Zero-Shot Cross-Lingual Dependency Parsing through Contextual Embedding Transformation EACL 2021
Novel Natural Language Summarization of Program Code via Leveraging Multiple Input Representations EMNLP 2021
Language Clustering for Multilingual Named Entity Recognition EMNLP 2021
Non-Parallel Any-to-Many Voice Conversion by Replacing Speaker Statistics INTERSPEECH 2021
RTFE: A Recursive Temporal Fact Embedding Framework for Temporal Knowledge Graph Completion NAACL 2021
Rot-Pro: Modeling Transitivity by Projection in Knowledge Graph Embedding NIPS 2021
Enhanced Universal Dependency Parsing with Automated Concatenation of Embeddings ACL 2021
Embedding-based Instance Segmentation in Microscopy MIDL 2021
Scalable Approach for Normalizing E-commerce Text Attributes (SANTA) ACL 2021
On the Effectiveness of Dataset Embeddings in Mono-lingual,Multi-lingual and Zero-shot Conditions EACL 2021
EmbedMask: Embedding Coupling for Instance Segmentation IJCAI 2021