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← 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
A Computational Approach to Language Contact – A Case Study of Persian
EACL 2026
A Subword Embedding Approach for Variation Detection in Luxembourgish User Comments
EACL 2026
Lorentz Entailment Cone for Semantic Segmentation
WACV 2026
ReBPE: Iteratively Improving the Internal Structure of a Structured Tokeniser by Mining its Internal Structure
EACL 2026
Feature Drift: How Fine-Tuning Repurposes Representations in LLMs
EACL 2026
Representation Collapse in Machine Translation Through the Lens of Angular Dispersion
EACL 2026
Negative Sampling Techniques in Dense Retrieval: A Survey
EACL 2026
Punctuations and Predicates in Language Models
EACL 2026
Style as Signature: Profile-Based Authorship Verification of Mihai Eminescu’s Journalistic Corpus
EACL 2026
Semantic Factor Analysis: Validating Personality Structure Recovery from empirically-mediated Word Embeddings
EACL 2026
Confidence Leaps in LLM Reasoning: Early Stopping and Cross-Model Transfer
EACL 2026
A Computational Forensic Linguistic Analysis of Narrative and Question-Answer Structures in Italian Police Interrogation Transcripts
EACL 2026
DisGraph-RP: Graph-Augmented Temporal Modeling with Aspect-Based Contrastive Encoding of Discharge Summary for Readmission Prediction
EACL 2026
SpatialMath: Spatial Comprehension-Infused Symbolic Reasoning for Mathematical Problem-Solving
EACL 2026
KGHaluBench: A Knowledge Graph-Based Hallucination Benchmark for Evaluating the Breadth and Depth of LLM Knowledge
EACL 2026
VIGiA: Instructional Video Guidance via Dialogue Reasoning and Retrieval
EACL 2026
ReAttn: Improving Attention-based Re-ranking via Attention Re-weighting
EACL 2026
Denoise, Divide, Distill, and Predict (D3P): Towards Forecasting Long-horizon Real-world Anomaly from Normalcy
WACV 2026
Zero-Shot Coreset Selection via Iterative Subspace Sampling
WACV 2026
Relevance-aware Multi-context Contrastive Decoding for Retrieval-augmented Visual Question Answering
WACV 2026
A Dataset and Framework for Learning State-invariant Object Representations
WACV 2026
Directed Attention is All You Need: Profiling Style from Limited Text Data
EACL 2026
CoreCaption: Core Caption based Text-to-Video Retrieval
WACV 2026
Gene-DML: Dual-Pathway Multi-Level Discrimination for Gene Expression Prediction from Histopathology Images
WACV 2026
Aligning Text, Code, and Vision: A Multi-Objective Reinforcement Learning Framework for Text-to-Visualization
EACL 2026
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