Representation Learning
22,308 papers
Papers per year
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3
18
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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
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2,953
3,130
2,996
645
2000
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Papers
How Does Alignment Enhance LLMs’ Multilingual Capabilities? A Language Neurons Perspective
AAAI 2026
How Do Language Models Acquire Character-Level Information?
EACL 2026
HSA-Net: Hierarchical and Structure-Aware Framework for Efficient and Scalable Molecular Language Modeling
AAAI 2026
HTG-GCL: Leveraging Hierarchical Topological Granularity from Cellular Complexes for Graph Contrastive Learning
AAAI 2026
HuiduRep: A Robust Self-Supervised Framework for Learning Neural Representations from Extracellular Recordings
AAAI 2026
HumanGuideNet: Adapter-Based Alignment of Deep Neural Networks with Human Similarity Judgments
WACV 2026
Human Motion Synthesis in 3D Scenes via Unified Scene Semantic Occupancy
AAAI 2026
Humans and transformer LMs: Abstraction drives language learning
EACL 2026
Hybrid-Domain Adaptative Representation Learning for Gaze Estimation
AAAI 2026
Hybrid State Representation for Video Procedure Planning
WACV 2026
HyFI: Hyperbolic Feature Interpolation for Brain-Vision Alignment
AAAI 2026
Hymavi : A Hybrid Mamba-Attention Network in Multi-View Framework for Volumetric Medical Image Segmentation
WACV 2026
HyMoERec: Hybrid Mixture-of-Experts for Sequential Recommendation (Student Abstract)
AAAI 2026
Hyperbolic-Enhanced Mixture-of-Experts Mamba for Sequential Recommendation
AAAI 2026
HyperD: Hybrid Periodicity Decoupling Framework for Traffic Forecasting
AAAI 2026
HyperSign: Hierarchical Hypergraph-based Co-occurrence Modeling for Sign Language Recognition and Translation
AAAI 2026
HyperST: Hierarchical Hyperbolic Learning for Spatial Transcriptomics Prediction
CVPR 2026
I2CD: An Invertible Causal Framework for Compositional Zero-Shot Learning via Disentangle-Compose-Disentangle
AAAI 2026
iBERT: Interpretable Embeddings via Sense Decomposition
EACL 2026
iCD: An Implicit Clustering Distillation Method for Structural Information Mining (Student Abstract)
AAAI 2026
IDEAlign: Comparing Ideas of Large Language Models to Domain Experts
EACL 2026
Identifying and Analyzing Performance-Critical Tokens in Large Language Models
AAAI 2026
IGT4ETH: An Isotropic Pre-trained Graph Transformer for Ethereum Account Classification
AAAI 2026
I Have Covered All the Bases Here: Interpreting Reasoning Features in Large Language Models via Sparse Autoencoders
AAAI 2026
ImageBindDC: Compressing Multi-modal Data with ImageBind-based Condensation
AAAI 2026