Representation Learning

PathFLIP: Fine-grained Language-Image Pretraining for Versatile Computational Pathology AAAI 2026 PDE-Driven Spatiotemporal Generative Modeling for Multilead ECG Synthesis AAAI 2026 Permutation Equivariant Framelet-based Hypergraph Neural Networks AAAI 2026 Physically-Informed Flow Matching with Graph Neural Networks for Complex Fluid Dynamics AAAI 2026 PITE: Multi-Prototype Alignment for Individual Treatment Effect Estimation AAAI 2026 PLA-MGRA: Multi-Granularity and Relation-Aware Learning for Efficient and Generalizable Protein-Ligand Binding Affinity Prediction AAAI 2026 PLaST: Towards Paralinguistic-aware Speech Translation AAAI 2026 PLUM-Net: Prototype-Induced Label Structuring for Disentangled Multimodal Representation Network AAAI 2026 PMPGuard: Catching Pseudo-Matched Pairs in Remote Sensing Image–Text Retrieval AAAI 2026 Point2Pose: A Generative Framework for 3D Human Pose Estimation with Multi-View Point Cloud Dataset WACV 2026 Point Cloud Semantic Scene Completion with Prototype-Guided Transformer AAAI 2026 Points Meet Pixels: Bridging 2D Vision-Language Model and 3D Perception Gaps for Point Cloud Quality Assessment AAAI 2026 Point-SRA: Self-Representation Alignment for 3D Representation Learning AAAI 2026 Polysemic Semantic Instance Network for Cross-Modal Hashing AAAI 2026 Positional Bias in Multimodal Embedding Models: Do They Favor the Beginning, the Middle, or the End? AAAI 2026 Predicting the Future by Retrieving the Past AAAI 2026 PRIMP: PRobabilistically-Informed Motion Primitives for Efficient Affordance Learning from Demonstration (Abstract Reprint) AAAI 2026 Probabilistic Deformation Consistency for Unsupervised Shape Matching AAAI 2026 Probabilities Are All You Need: A Probability-Only Approach to Uncertainty Estimation in Large Language Models AAAI 2026 Procedure Learning via Regularized Gromov-Wasserstein Optimal Transport WACV 2026 ProCrop: Learning Aesthetic Image Cropping from Professional Compositions AAAI 2026 ProtoGMVAE: A Variational Auto-Encoder with True Gaussian Mixture Prior for Prototypical-based Self-Explainability WACV 2026 ProtSAE: Disentangling and Interpreting Protein Language Models via Semantically-Guided Sparse Autoencoders AAAI 2026 Pseudo-Likelihood Training for Reasoning Diffusion Language Models EACL 2026 Pseudo Multi-view K-means Clustering AAAI 2026