Representation Learning

Descrip3D: Enhancing Large Language Model-based 3D Scene Understanding with Object-Level Text Descriptions WACV 2026 Detecting Subtle Sense Shift with Polysemy-Aware Trends EACL 2026 Deterministic Hyperdimensional Learning with Rank Refinement (Student Abstract) AAAI 2026 DFRec: Dual Fluctuation Modeling of Multi-level Intent Evolution for Next-Item Recommendation AAAI 2026 DHCM-CACL: Dynamic Hierarchical Cross-modal Mamba with Confidence-Adaptive Contrastive Learning for Multimodal Emotion Recognition AAAI 2026 DHMRec: Collaboration-Guided Multimodal Disentanglement and Hierarchical Fusion for Recommendation AAAI 2026 DiAPR: Dimensionally-Allocated Prototype Refinement for Non-Exemplar Class Incremental Learning AAAI 2026 DIET: Machine Unlearning on a Data-Diet AAAI 2026 Diffusion Reconstruction-based Data Likelihood Estimation for Core-Set Selection AAAI 2026 DiLO: Disentangled Latent Optimization for Learning Shape and Deformation in Grouped Deforming 3D Objects AAAI 2026 DIN: Dual Impulse Network for Multi-view Representation Learning AAAI 2026 Directed Attention is All You Need: Profiling Style from Limited Text Data EACL 2026 DiRe: Diversity-promoting Regularization for Dataset Condensation WACV 2026 Discovering Decoupled Functional Modules in Large Language Models AAAI 2026 Discovering Hybrid World Representations with Co-Evolving Foundation Models AAAI 2026 Discriminative Graph Embedding Framework via Label-Free Marginal Fisher Analysis AAAI 2026 Disentangled Hypergraph-Guided Mamba Scanning for Fine-Grained Visual Recognition AAAI 2026 Disentangling for Transfer: Boosting Limited Modalities via Information-Theoretic Regularization and Cross-Modal Reconstruction AAAI 2026 DisGraph-RP: Graph-Augmented Temporal Modeling with Aspect-Based Contrastive Encoding of Discharge Summary for Readmission Prediction EACL 2026 Diversity Preserving Coresets for Image Quality Assessment WACV 2026 Diversity Recommendation via Causal Deconfounding of Co-purchase Relations and Counterfactual Exposure AAAI 2026 DMCAR: Disentangled Mixture-of-Experts with Context-Aware Routing for Multi-View Clustering AAAI 2026 Do Large Language Models Think like the Brain? Sentence-Level Evidences from Layer-Wise Embeddings and fMRI AAAI 2026 Domain-Aware Multi-View Contrastive Representation Learning for Protein Subcellular Localization Prediction AAAI 2026 Do We Truly Need So Many Samples? Multi-LLM Repeated Sampling Efficiently Scales Test-Time Compute AAAI 2026