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Methodology
← Core Methods
Machine Learning
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Core Methods
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Representation Learning
18863 directly classified papers
Papers per year
2000: 2
2001: 4
2002: 2
2003: 18
2004: 4
2005: 9
2006: 62
2007: 61
2008: 74
2009: 73
2010: 96
2011: 103
2012: 131
2013: 283
2014: 255
2015: 295
2016: 426
2017: 691
2018: 1066
2019: 1798
2020: 1830
2021: 2207
2022: 2109
2023: 2560
2024: 2177
2025: 1926
2026: 601
Papers
SMEC:Rethinking Matryoshka Representation Learning for Retrieval Embedding Compression
EMNLP 2025
Pre-trained Language Models Learn Remarkably Accurate Representations of Numbers
EMNLP 2025
Attention-Guided Masked Autoencoders for Learning Image Representations
WACV 2025
Mixture of Languages: Improved Multilingual Encoders Through Language Grouping
EMNLP 2025
Spatially-Adaptive Hash Encodings for Neural Surface Reconstruction
WACV 2025
Spk2ImgMamba: Spiking Camera Image Reconstruction with Multi-Scale State Space Models
WACV 2025
Multilingual Pretraining for Pixel Language Models
EMNLP 2025
ACE: Anatomically Consistent Embeddings in Composition and Decomposition
WACV 2025
Type-Less yet Type-Aware Inductive Link Prediction with Pretrained Language Models
EMNLP 2025
AC-IND: Sparse CT Reconstruction Based on Attenuation Coefficient Estimation and Implicit Neural Distribution
WACV 2025
Exploring morphology-aware tokenization: A case study on Spanish language modeling
EMNLP 2025
Fine-Grained Spatial and Verbal Losses for 3D Visual Grounding
WACV 2025
Learning Visual-Semantic Hierarchical Attribute Space for Interpretable Open-Set Recognition
WACV 2025
What’s in a prompt? Language models encode literary style in prompt embeddings
EMNLP 2025
Speech Discrete Tokens or Continuous Features? A Comparative Analysis for Spoken Language Understanding in SpeechLLMs
EMNLP 2025
Discriminating Form and Meaning in Multilingual Models with Minimal-Pair ABX Tasks
EMNLP 2025
Uniform Information Density and Syntactic Reduction: Revisiting *that*-Mentioning in English Complement Clauses
EMNLP 2025
Understanding Subword Compositionality of Large Language Models
EMNLP 2025
fLSA: Learning Semantic Structures in Document Collections Using Foundation Models
EMNLP 2025
Concept-pedia: a Wide-coverage Semantically-annotated Multimodal Dataset
EMNLP 2025
GRAPE: Heterogeneous Graph Representation Learning for Genetic Perturbation with Coding and Non-Coding Biotype
IJCAI 2025
The Emperor’s New Reasoning: Format Imitation Overshadows Genuine Mathematical Understanding in SFT
EMNLP 2025
Internal Chain-of-Thought: Empirical Evidence for Layer‐wise Subtask Scheduling in LLMs
EMNLP 2025
CIKT: A Collaborative and Iterative Knowledge Tracing Framework with Large Language Models
EMNLP 2025
CoMAT: Chain of Mathematically Annotated Thought Improves Mathematical Reasoning
EMNLP 2025
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