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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
Beyond the Encoder: Joint Encoder-Decoder Contrastive Pre-Training Improves Dense Prediction
WACV 2026
ObjectCore - Efficient Few-shot Logical Anomaly Detection using Object Representations
WACV 2026
Point2Pose: A Generative Framework for 3D Human Pose Estimation with Multi-View Point Cloud Dataset
WACV 2026
Descrip3D: Enhancing Large Language Model-based 3D Scene Understanding with Object-Level Text Descriptions
WACV 2026
LingGen: Scalable Multi-Attribute Linguistic Control via Power-Law Masking
EACL 2026
Patch-wise Retrieval: A Bag of Practical Techniques for Instance-level Matching
WACV 2026
Reviving Unsupervised Optical Flow: Concept Reevaluation, Multi-Scale Advances and Full Open-Source Release
WACV 2026
Anatomy-VLM: A Fine-grained Vision-Language Model for Medical Interpretation
WACV 2026
Beyond Real Weights: Hypercomplex Representations for Stable Quantization
WACV 2026
Beyond Coherence: Improving Temporal Consistency and Interpretability in Dynamic Topic Models
EACL 2026
Vietnamese Automatic Speech Recognition: A Revisit
EACL 2026
OMAN-SPEECH: A Multi-Layer Annotated Speech Corpus for Omani Arabic Dialects
EACL 2026
Modeling Changing Scientific Concepts with Complex Networks: A Case Study on the Chemical Revolution
EACL 2026
GRITHopper: Decomposition-Free Multi-Hop Dense Retrieval
EACL 2026
CALE : Concept-Aligned Embeddings for Both Within-Lemma and Inter-Lemma Sense Differentiation
EACL 2026
iBERT: Interpretable Embeddings via Sense Decomposition
EACL 2026
Contrastive Learning with Narrative Twins for Modeling Story Salience
EACL 2026
iCD: An Implicit Clustering Distillation Method for Structural Information Mining (Student Abstract)
AAAI 2026
Atom-level Adaptive Receptive Fields: A Pruning-Based Encoder for 2D Molecular Graphs (Student Abstract)
AAAI 2026
Towards Data-Efficient Deep Learning for RNA 3D Structure Prediction and Design
AAAI 2026
Cylindrical Lattice Embedding for Program Induction
AAAI 2026
ATM: Enhanced Alignment for Text-to-Motion Generation
WACV 2026
DreamCatcher: Efficient Multi-Concept Customization via Representation Finetuning
WACV 2026
Training-free Conditional Image Embedding Framework Leveraging Large Vision Language Models
WACV 2026
RAVU: Retrieval Augmented Video Understanding with Compositional Reasoning over Graph
WACV 2026
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