Representation Learning

FLoMo-Net: A Novel Task-Adaptive Mixture of Experts Routing Framework with Frequency and Uncertainty Correction for Medical Image Segmentation WACV 2026 FlorE: Integrating Full Lorentz Group and Directional Offsets for Effective Knowledge Graph Embedding AAAI 2026 Flowing Backwards: Improving Normalizing Flows via Reverse Representation Alignment AAAI 2026 FlowPath: Learning Data-Driven Manifolds with Invertible Flows for Robust Irregularly-sampled Time Series Classification AAAI 2026 Focusing Condition: Inference-Time Self-Contrastive Steering Elicits Better Conditional Text Embeddings in LLMs ACL 2026 ForeDiffusion: Foresight-Conditioned Diffusion Policy via Future View Construction for Robot Manipulation AAAI 2026 ForestSplats: Deformable Transient Field for Gaussian Splatting in the Wild WACV 2026 Formal Abductive Latent Explanations for Prototype-Based Networks AAAI 2026 Format as a Prior: Quantifying and Analyzing Bias in LLMs for Heterogeneous Data AAAI 2026 FreDN: Spectral Disentanglement for Time Series Forecasting via Learnable Frequency Decomposition AAAI 2026 FreqCycle: A Multi-Scale Time-Frequency Analysis Method for Time Series Forecasting AAAI 2026 FreqTAD: Multi-scale Frequency Encoding and Time-Frequency Attention for Anomaly Detection in Dynamic Graphs AAAI 2026 Frequency Mining Empowered by Text Aggregation: A New Perspective on Document Image Tampering Detection AAAI 2026 Frequency Switching Mechanism for Parameter-Efficient Multi-Task Learning CVPR 2026 From IDs to Semantics: A Generative Framework for Cross-Domain Recommendation with Adaptive Semantic Tokenization AAAI 2026 From Points to Coalitions: Hierarchical Contrastive Shapley Values for Prioritizing Data Samples AAAI 2026 From Representation to Reasoning: Toward General-Purpose Visual Intelligence AAAI 2026 From Semantics to Style: A Cross-Dataset Comparative Framework for Sentence Similarity Predictions EACL 2026 From Tokens to Latent States: Leveraging Pre-trained Language Models for Improving Partially Observable Reinforcement Learning AAAI 2026 FuseMine: Robust Multi-Modal Compound-Protein Interaction Prediction via Differential Attention Feature Mining AAAI 2026 Gated Variational Graph Autoencoders as Experts with Competition and Consensus for Multi-view Clustering AAAI 2026 Gene-DML: Dual-Pathway Multi-Level Discrimination for Gene Expression Prediction from Histopathology Images WACV 2026 Gene Incremental Learning for Single-Cell Transcriptomics AAAI 2026 Generating Sketches in a Hierarchical Auto-Regressive Process for Flexible Sketch Drawing Manipulation at Stroke-Level AAAI 2026 Generative Graphical Inverse Kinematics (Abstract Reprint) AAAI 2026