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Representation Learning

22,308 papers

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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