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Methodology
← Core Methods
Machine Learning
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Core Methods
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Embedding Learning
3751 directly classified papers
Papers per year
2001: 2
2002: 1
2003: 2
2004: 1
2005: 2
2006: 8
2007: 6
2008: 7
2009: 13
2010: 14
2011: 17
2012: 19
2013: 39
2014: 35
2015: 58
2016: 85
2017: 230
2018: 340
2019: 515
2020: 474
2021: 426
2022: 364
2023: 328
2024: 361
2025: 336
2026: 68
Papers
Deep Embedding Features for Salient Object Detection
AAAI 2019
Towards Optimal Fine Grained Retrieval via Decorrelated Centralized Loss with Normalize-Scale Layer
AAAI 2019
Few-Shot Image and Sentence Matching via Gated Visual-Semantic Embedding
AAAI 2019
HSME: Hypersphere Manifold Embedding for Visible Thermal Person Re-Identification
AAAI 2019
Learning to Embed Sentences Using Attentive Recursive Trees
AAAI 2019
Unsupervised Discovery of Multimodal Links in Multi-image, Multi-sentence Documents
EMNLP 2019
Detect Camouflaged Spam Content via StoneSkipping: Graph and Text Joint Embedding for Chinese Character Variation Representation
EMNLP 2019
Unified Embedding Alignment with Missing Views Inferring for Incomplete Multi-View Clustering
AAAI 2019
Jointly Learning Entity and Relation Representations for Entity Alignment
EMNLP 2019
Modeling Multi-mapping Relations for Precise Cross-lingual Entity Alignment
EMNLP 2019
Representation Learning with Ordered Relation Paths for Knowledge Graph Completion
EMNLP 2019
Aligning Cross-Lingual Entities with Multi-Aspect Information
EMNLP 2019
Node Embeddings for Graph Merging: Case of Knowledge Graph Construction
EMNLP 2019
DBee: A Database for Creating and Managing Knowledge Graphs and Embeddings
EMNLP 2019
Supervised and Nonlinear Alignment of Two Embedding Spaces for Dictionary Induction in Low Resourced Languages
IJCNLP 2019
Rethinking Loss Design for Large-scale 3D Shape Retrieval
IJCAI 2019
Cross-View Local Structure Preserved Diversity and Consensus Learning for Multi-View Unsupervised Feature Selection
AAAI 2019
Evaluating Composition Models for Verb Phrase Elliptical Sentence Embeddings
NAACL 2019
Personalized Multimedia Item and Key Frame Recommendation
IJCAI 2019
Medical Concept Representation Learning from Multi-source Data
IJCAI 2019
Getting in Shape: Word Embedding SubSpaces
IJCAI 2019
Attentive Mimicking: Better Word Embeddings by Attending to Informative Contexts
NAACL 2019
Learning Unsupervised Multilingual Word Embeddings with Incremental Multilingual Hubs
NAACL 2019
Large-Scale Heterogeneous Feature Embedding
AAAI 2019
Network-Specific Variational Auto-Encoder for Embedding in Attribute Networks
IJCAI 2019
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