Deep Learning

Learning to Explore: Policy-Guided Outlier Synthesis for Graph Out-of-Distribution Detection AAAI 2026 Learning to Generate Highly Dynamic Videos using Synthetic Motion Data CVPR 2026 Learning to Generate Structured Meshes with In-Context: Toward Generalization in Mesh Generation AAAI 2026 Learning to Generate via Understanding: Understanding-Driven Intrinsic Rewarding for Unified Multimodal Models CVPR 2026 Learning to Identify Out-of-Distribution Objects for 3D LiDAR Anomaly Segmentation CVPR 2026 Learning to Infer Fast by Attending to Sparse Temporal Observations UAI 2026 Learning to Learn Weight Generation via Local Consistency Diffusion CVPR 2026 Learning to Parse and Reconstruct: Bidirectional Modeling of Question-to-Program Mapping AAAI 2026 Learning Topology-Driven Multi-Subspace Fusion for Grassmannian Deep Networks AAAI 2026 Learning to Rank: How GNNs Solve Max-Clique and Sparse PCA AAAI 2026 Learning to Reason with Curriculum I: Provable Benefits of Autocurriculum COLT 2026 Learning to Refuse: Refusal-Aware Reinforcement Fine-Tuning for Hard-Irrelevant Queries in Video Temporal Grounding CVPR 2026 Learning to Think on Hypergraph: HyperCoT for Structure-Guided N-ary Knowledge Graph Completion ACL 2026 Learning to Transform: Unifying Latent Geometric Shape and Appearance Representations in Healthcare Imaging AAAI 2026 Learning Transferable Temporal Primitives for Video Reasoning via Synthetic Videos CVPR 2026 Learning Underwater Image Enhancement Iteratively Without Reference Images AAAI 2026 Learning What Helps: Task-Aligned Context Selection for Vision Tasks CVPR 2026 Learning What Matters: Dynamic Dimension Selection and Aggregation for Interpretable Vision-Language Reward Modeling ACL 2026 Learning What Matters: Prioritized Concept Learning via Relative Error-driven Sample Selection CVPR 2026 Learning What to Trust: Bayesian Prior-Guided Optimization for Visual Generation CVPR 2026 Learning Where to Look and How to Judge: Resolution-agnostic Image Quality Assessment with Quality-aware Saliency CVPR 2026 Learning While Staying Curious: Entropy-Preserving Supervised Fine-Tuning via Adaptive Self-Distillation for Large Reasoning Models ACL 2026 LegalDrill: Diagnosis-Driven Synthesis for Legal Reasoning in Small Language Models ACL 2026 LeLoRA: Learnable Low-Rank Adaptation of Large Language Models ACL 2026 LEMON: A Large Endoscopic MONocular Dataset and Foundation Model for Perception in Surgical Settings CVPR 2026