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Methodology
← Learning Types
Machine Learning
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Learning Types
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Representation Learning
2843 directly classified papers
Papers per year
2002: 1
2005: 2
2006: 5
2007: 11
2008: 12
2009: 10
2010: 6
2011: 6
2012: 30
2013: 36
2014: 34
2015: 20
2016: 42
2017: 82
2018: 128
2019: 189
2020: 266
2021: 279
2022: 382
2023: 358
2024: 451
2025: 486
2026: 7
Papers
Learned Initializations for Optimizing Coordinate-Based Neural Representations
CVPR 2021
Learning Tensor Low-Rank Prior for Hyperspectral Image Reconstruction
CVPR 2021
Memory-Efficient Network for Large-Scale Video Compressive Sensing
CVPR 2021
Wasserstein Contrastive Representation Distillation
CVPR 2021
VIGOR: Cross-View Image Geo-Localization Beyond One-to-One Retrieval
CVPR 2021
CSDS: A Fine-Grained Chinese Dataset for Customer Service Dialogue Summarization
EMNLP 2021
Modeling Document-Level Context for Event Detection via Important Context Selection
EMNLP 2021
A Simple and Effective Method To Eliminate the Self Language Bias in Multilingual Representations
EMNLP 2021
Evaluating Scholarly Impact: Towards Content-Aware Bibliometrics
EMNLP 2021
Learning with Instance Bundles for Reading Comprehension
EMNLP 2021
Parallel Refinements for Lexically Constrained Text Generation with BART
EMNLP 2021
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation
EMNLP 2021
Neuralizing Regular Expressions for Slot Filling
EMNLP 2021
A Relation-Oriented Clustering Method for Open Relation Extraction
EMNLP 2021
SWEAT: Scoring Polarization of Topics across Different Corpora
EMNLP 2021
An Analysis of Euclidean vs. Graph-Based Framing for Bilingual Lexicon Induction from Word Embedding Spaces
EMNLP 2021
Natural SQL: Making SQL Easier to Infer from Natural Language Specifications
EMNLP 2021
Probing Pre-trained Language Models for Semantic Attributes and their Values
EMNLP 2021
Self-Supervised Neural Topic Modeling
EMNLP 2021
Parameter-Efficient Domain Knowledge Integration from Multiple Sources for Biomedical Pre-trained Language Models
EMNLP 2021
Controlled tasks for model analysis: Retrieving discrete information from sequences
EMNLP 2021
Imposing Relation Structure in Language-Model Embeddings Using Contrastive Learning
EMNLP 2021
Scaffolded input promotes atomic organization in the recurrent neural network language model
EMNLP 2021
Automatic Entity State Annotation using the VerbNet Semantic Parser
EMNLP 2021
Using Word Embedding to Reveal Monetary Policy Explanation Changes
EMNLP 2021
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