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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
Dimensionality Reduction for the Sum-of-Distances Metric
ICML 2021
Estimating $α$-Rank from A Few Entries with Low Rank Matrix Completion
ICML 2021
Temporal Knowledge Graph Completion using a Linear Temporal Regularizer and Multivector Embeddings
NAACL 2021
Pre-training Context and Time Aware Location Embeddings from Spatial-Temporal Trajectories for User Next Location Prediction
AAAI 2021
An Unsupervised Sampling Approach for Image-Sentence Matching Using Document-level Structural Information
AAAI 2021
Integrating Higher-Level Semantics into Robust Biomedical Name Representations
EACL 2021
Zero-Shot Cross-Lingual Dependency Parsing through Contextual Embedding Transformation
EACL 2021
On the Effectiveness of Dataset Embeddings in Mono-lingual,Multi-lingual and Zero-shot Conditions
EACL 2021
Paraphrases do not explain word analogies
EACL 2021
Dependency parsing with structure preserving embeddings
EACL 2021
Multi-facet Universal Schema
EACL 2021
Compositional Embeddings for Multi-Label One-Shot Learning
WACV 2021
RelWalk - A Latent Variable Model Approach to Knowledge Graph Embedding
EACL 2021
Joint Visual-Temporal Embedding for Unsupervised Learning of Actions in Untrimmed Sequences
WACV 2021
Johnson-Lindenstrauss Transforms with Best Confidence
COLT 2021
3DPoseLite: A Compact 3D Pose Estimation Using Node Embeddings
WACV 2021
A Hyperbolic-to-Hyperbolic Graph Convolutional Network
CVPR 2021
Learning Intra-Batch Connections for Deep Metric Learning
ICML 2021
Modeling Text using the Continuous Space Topic Model with Pre-Trained Word Embeddings
IJCNLP 2021
Unsupervised Embedding Adaptation via Early-Stage Feature Reconstruction for Few-Shot Classification
ICML 2021
Prior Image-Constrained Reconstruction using Style-Based Generative Models
ICML 2021
Text-Guided Graph Neural Networks for Referring 3D Instance Segmentation
AAAI 2021
Fold2Seq: A Joint Sequence(1D)-Fold(3D) Embedding-based Generative Model for Protein Design
ICML 2021
On the Embeddings of Variables in Recurrent Neural Networks for Source Code
NAACL 2021
Combinatorial Learning of Graph Edit Distance via Dynamic Embedding
CVPR 2021
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