Representation Learning
22,308 papers
Papers per year
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4
3
18
4
9
65
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82
78
102
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142
299
274
310
458
748
1,177
1,845
2,058
2,310
2,425
2,953
3,130
2,996
645
2000
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Papers
Learning to Compress: Unlocking the Potential of Large Language Models for Text Representation
AAAI 2026
Learning to Curate Context: Jointly Optimizing Retrieval and Prediction for Multimodal Social Media Popularity
AAAI 2026
Learning to Disentangle Latent Reasoning Rules with Language VAEs: A Systematic Study
AAAI 2026
Learning to Ideate for Machine Learning Engineering Agents
EACL 2026
Learning Topology-Driven Multi-Subspace Fusion for Grassmannian Deep Networks
AAAI 2026
Learning to Rank: How GNNs Solve Max-Clique and Sparse PCA
AAAI 2026
Learning to Select: Query-Aware Adaptive Dimension Selection for Dense Retrieval
ACL 2026
Learning with Preserving for Continual Multitask Learning
AAAI 2026
Length-Adaptive Interest Network for Balancing Long and Short Sequence Modeling in CTR Prediction
AAAI 2026
Let the Model Learn to Feel: Mode-Guided Tonality Injection for Symbolic Music Emotion Recognition
AAAI 2026
Lexical Popularity: Quantifying the Impact of Pre-training for LLM Performance
EACL 2026
LingGen: Scalable Multi-Attribute Linguistic Control via Power-Law Masking
EACL 2026
LinProVSR: Linguistics-Knowledge Guided Progressive Disambiguation Network for Visual Speech Recognition
AAAI 2026
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning
CVPR 2026
LLaVA-UHD v2: Exploiting Hierarchical Vision Granularity in MLLMs via Inverse Semantic Pyramid
AAAI 2026
LLM2CLIP: Powerful Language Model Unlocks Richer Cross-Modality Representation
AAAI 2026
LLM Collaborative Filtering: User-Item Graph as New Language
AAAI 2026
LLM-Enabled Scientific Knowledge Diffusion Analysis
AAAI 2026
LLMs Know More About Numbers than They Can Say
EACL 2026
LMGL-WD: LLM-Guided Multi-Task Graph Learning for Category-Level Warehouse Demand Prediction in E-Commerce
AAAI 2026
Localization-Anchored Instance Discrimination for Domain Adaptive Person Search
AAAI 2026
Locally Explaining Prediction Behavior via Gradual Interventions and Measuring Property Gradients
WACV 2026
LogicCBMs: Logic-Enhanced Concept-Based Learning
WACV 2026
LooC: Effective Low-Dimensional Codebook for Compositional Vector Quantization
WACV 2026
Lorentz Entailment Cone for Semantic Segmentation
WACV 2026