Deep Learning

Decision-Driven Orthogonal Learning with Complementary Feature Mining for Robust Synthetic Image Detection AAAI 2026 DE-CLIP: Few-Shot Anomaly Detection via Difference-Guided Embedding Editing ACL 2026 DecoCal: Decoding with Calibration in Diffusion Large Language Models ACL 2026 Decoding Text Spans for Efficient and Accurate Named-Entity Recognition ACL 2026 DeCo: Frequency-Decoupled Pixel Diffusion for End-to-End Image Generation CVPR 2026 De-collapsing User Intent: Adaptive Diffusion Augmentation with Mixture-of-Experts for Sequential Recommendation AAAI 2026 Decompose and Transfer: CoT-Prompting Enhanced Alignment for Open-Vocabulary Temporal Action Detection CVPR 2026 Decompose, Mix, Adapt: A Unified Framework for Parameter-Efficient Neural Network Recombination and Compression CVPR 2026 Decomposing and Composing: Towards Efficient Vision-Language Continual Learning via Rank-1 Expert Pool in a Single LoRA AAAI 2026 Decomposing Prompts, Composing Actions: A Multi-Granularity Prompting Approach for Incremental Action Learning AAAI 2026 Deconstructing Pre-training: Knowledge Attribution Analysis in MoE and Dense Models AAAI 2026 Decoupled and Reusable Adaptation for Efficient Cross-Modal Transfer CVPR 2026 Decoupled Generative Modeling for Human-Object Interaction Synthesis CVPR 2026 Decoupled Residual Denoising Diffusion Models for Unified and Data Efficient Image-to-Image Translation CVPR 2026 Decoupled Spatiotemporal Forecasting from Extreme Sparse Observations via Quantized Latent Space AAAI 2026 Decouple to Generalize: Context-First Self-Evolving Learning for Data-Scarce Vision-Language Reasoning CVPR 2026 Decouple Your Discovery and Memory in Continual Generalized Category Discovery CVPR 2026 Decoupling Bias, Aligning Distributions: Synergistic Fairness Optimization for Deepfake Detection CVPR 2026 Decoupling Generalization and Adaptation in Meta-Learning for Large Language Models ACL 2026 Decoupling Stability and Plasticity for Multi-Modal Test-Time Adaptation CVPR 2026 Decoupling Template Bias in CLIP: Harnessing Empty Prompts for Enhanced Few-Shot Learning AAAI 2026 Decoupling Vision and Language: Codebook Anchored Visual Adaptation CVPR 2026 Deep Clustering Based on Sparse Kolmogorov-Arnold Network and Spectral Constraint AAAI 2026 Deep Extreme Transformer: Tackling Zero-Inflated Time Series for Precipitation Prediction AAAI 2026 Deepfake Detection that Generalizes Across Benchmarks WACV 2026