Deep Learning

Towards Illumination-Aware Restoration of Metalens-Captured Images: A New Dataset and a Strong Baseline AAAI 2026 Towards Intrinsic Interpretability of Large Language Models: A Survey of Design Principles and Architectures ACL 2026 Towards Long-window Anchoring in Vision-Language Model Distillation AAAI 2026 Towards Modality-Agnostic Continual Domain-Incremental Brain Lesion Segmentation MIDL 2026 Towards Multimodal Domain Generalization with Few Labels CVPR 2026 Towards Multiple Missing Values-resistant Unsupervised Graph Anomaly Detection AAAI 2026 Towards Non-Stationary Time Series Forecasting with Temporal Stabilization and Frequency Differencing AAAI 2026 Towards Offline Imitation Learning: Strictly Batch Settings, Generalization, and Variability in Expertise AAAI 2026 Towards OOD Generalization in Dynamic Graphs via Causal Invariant Learning AAAI 2026 Towards Open-Vocabulary Industrial Defect Understanding with a Large-Scale Multimodal Dataset CVPR 2026 Towards Photorealistic and Efficient Bokeh Rendering via Diffusion Framework CVPR 2026 Towards Privacy-Preserving Large Language Model: Text-free Inference Through Alignment and Adaptation ACL 2026 Towards Privacy-Protected Generalized Gaze Estimation Using Diffusion Models and Domain Stability Adaptation Framework AAAI 2026 Towards Provably Secure and Highly Robust Generative Image Steganography Leveraging Latent Diffusion Model AAAI 2026 Towards Realistic and Consistent Orbital Video Generation via 3D Foundation Priors CVPR 2026 Towards Real-Time Neutral Atom Array Assembly via Unsupervised Hologram Generation and Path Optimization AAAI 2026 Towards Real-World Document Parsing via Realistic Scene Synthesis and Document-Aware Training CVPR 2026 Towards Reasoning-Preserving Unlearning in Multimodal Large Language Models CVPR 2026 Towards Reliable Evaluation of Adversarial Robustness for Spiking Neural Networks CVPR 2026 Towards Robust Multi-Modal Semantic Segmentation with Teacher-Student Framework and Hybrid Prototype Distillation CVPR 2026 Towards Robust Sequential Decomposition for Complex Image Editing CVPR 2026 Towards Robust Text-Attributed Federated Graph Learning: Multimodal Threats and Defense AAAI 2026 Towards Robust Vision Transformers: Path Dependency Analysis and a Simple Two-Stage Adversarial Training CVPR 2026 Towards Spatially Consistent Image Generation: On Incorporating Intrinsic Scene Properties into Diffusion Models AAAI 2026 Towards Stable Federated Continual Test-Time Adaptation in Wild World CVPR 2026