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Representation Learning

18863 directly classified papers

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Papers

CausalCLIP: Causally-Informed Feature Disentanglement and Filtering for Generalizable Detection of Generated Images AAAI 2026
LUMIN: A Longitudinal Multi-modal Knowledge Decomposition Network for Predicting Breast Cancer Recurrence AAAI 2026
Edge-Centric Relational Reasoning for 3D Scene Graph Prediction AAAI 2026
PMPGuard: Catching Pseudo-Matched Pairs in Remote Sensing Image–Text Retrieval AAAI 2026
MAPI-GNN: Multi-Activation Plane Interaction Graph Neural Network for Multimodal Medical Diagnosis AAAI 2026
CART: Compositional AutoRegressive Transformer for Image Generation AAAI 2026
Hybrid-Domain Adaptative Representation Learning for Gaze Estimation AAAI 2026
DiLO: Disentangled Latent Optimization for Learning Shape and Deformation in Grouped Deforming 3D Objects AAAI 2026
RealRep: Generalized SDR-to-HDR Conversion via Attribute-Disentangled Representation Learning AAAI 2026
VAEVQ: Enhancing Discrete Visual Tokenization Through Variational Modeling AAAI 2026
Dense Cross-Scale Image Alignment with Fully Spatial Correlation and Just Noticeable Difference Guidance AAAI 2026
I2CD: An Invertible Causal Framework for Compositional Zero-Shot Learning via Disentangle-Compose-Disentangle AAAI 2026
Content-aware Information Compression and Selection for Whole Slide Image Analysis AAAI 2026
Seeing and Knowing in the Wild: Open-domain Visual Entity Recognition with Large-scale Knowledge Graphs via Contrastive Learning AAAI 2026
NP-MiSR: Neural Process-based Multi-Interest Learning for Session-Based Recommendation AAAI 2026
ARNS: Adaptive Relation-Aware Negative Sampling with Curriculum Learning for Inductive Knowledge Graph Completion AAAI 2026
Memorize Early, Then Query: Inlier-Memorization-Guided Active Outlier Detection AAAI 2026
MovSemCL: Movement-Semantics Contrastive Learning for Trajectory Similarity AAAI 2026
FreqTAD: Multi-scale Frequency Encoding and Time-Frequency Attention for Anomaly Detection in Dynamic Graphs AAAI 2026
Interest-Shift-Aware Logical Reasoning for Efficient Long-Sequence Recommendation AAAI 2026
Beyond Local Patterns: Multiscale Inconsistency Learning for Graph Anomaly Detection AAAI 2026
Learnable Matrix Profile for Motif Discovery on Multivariate Time Series AAAI 2026
MoToRec: Sparse-Regularized Multimodal Tokenization for Cold-Start Recommender AAAI 2026
MIGDiff: Multi-attributes Imputations for Attribute-missing Graphs via Graph Denoising Diffusion Model AAAI 2026
TRACE: Transformation-Aware Graph Refinement for Reaction Condition Prediction AAAI 2026