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← Learning Types
Deep Learning
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Learning Types
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Representation Learning
4,516 papers
Papers per year
2006: 7
2007: 2
2008: 7
2009: 1
2010: 5
2011: 9
2012: 20
2013: 37
2014: 51
2015: 47
2016: 86
2017: 197
2018: 322
2019: 499
2020: 569
2021: 521
2022: 608
2023: 552
2024: 535
2025: 432
2026: 9
Papers
Effects of Parameter Norm Growth During Transformer Training: Inductive Bias from Gradient Descent
EMNLP 2021
Harms of Gender Exclusivity and Challenges in Non-Binary Representation in Language Technologies
EMNLP 2021
Improving Math Word Problems with Pre-trained Knowledge and Hierarchical Reasoning
EMNLP 2021
Biomedical Concept Normalization by Leveraging Hypernyms
EMNLP 2021
Leveraging Capsule Routing to Associate Knowledge with Medical Literature Hierarchically
EMNLP 2021
Label-Enhanced Hierarchical Contextualized Representation for Sequential Metaphor Identification
EMNLP 2021
Enhancing Multiple-choice Machine Reading Comprehension by Punishing Illogical Interpretations
EMNLP 2021
Aligning Cross-lingual Sentence Representations with Dual Momentum Contrast
EMNLP 2021
To be Closer: Learning to Link up Aspects with Opinions
EMNLP 2021
Natural Language Video Localization with Learnable Moment Proposals
EMNLP 2021
Data-to-text Generation by Splicing Together Nearest Neighbors
EMNLP 2021
Long-Range Modeling of Source Code Files with eWASH: Extended Window Access by Syntax Hierarchy
EMNLP 2021
“Average” Approximates “First Principal Component”? An Empirical Analysis on Representations from Neural Language Models
EMNLP 2021
Pairwise Supervised Contrastive Learning of Sentence Representations
EMNLP 2021
Analyzing the Surprising Variability in Word Embedding Stability Across Languages
EMNLP 2021
Summarize-then-Answer: Generating Concise Explanations for Multi-hop Reading Comprehension
EMNLP 2021
Universal Sentence Representation Learning with Conditional Masked Language Model
EMNLP 2021
Surface Form Competition: Why the Highest Probability Answer Isn’t Always Right
EMNLP 2021
ValNorm Quantifies Semantics to Reveal Consistent Valence Biases Across Languages and Over Centuries
EMNLP 2021
Robust Open-Vocabulary Translation from Visual Text Representations
EMNLP 2021
Effective Sequence-to-Sequence Dialogue State Tracking
EMNLP 2021
Language-agnostic Representation from Multilingual Sentence Encoders for Cross-lingual Similarity Estimation
EMNLP 2021
Enhancing the Context Representation in Similarity-based Word Sense Disambiguation
EMNLP 2021
Integrating Personalized PageRank into Neural Word Sense Disambiguation
EMNLP 2021
Cross-lingual Sentence Embedding using Multi-Task Learning
EMNLP 2021
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