Deep Learning

DogFit: Domain-guided Fine-tuning for Efficient Transfer Learning of Diffusion Models AAAI 2026 Do Less, Achieve More: Do We Need Every-Step Optimization for RL Fine-tuning of Diffusion Models? CVPR 2026 d’Olle Grieze at SemEval-2026 Task 11: Comparing the Impact of Supervised Fine-Tuning and Activation Steering on Mitigating Content Effect Bias in Syllogistic Reasoning SemEval 2026 Do LLMs Really Need 10+ Thoughts for “Find the Time 1000 Days Later”? Towards Structural Understanding of LLM Overthinking ACL 2026 Domain Adaptation Without the Compute Burden for Efficient Whole Slide Image Analysis MIDL 2026 Domain-Aware Multi-View Contrastive Representation Learning for Protein Subcellular Localization Prediction AAAI 2026 Domain-Constrained Distillation of DINOv3 into a Lightweight Foundation Model Toward Point-of-Care Ultrasound MIDL 2026 DomainCQA: Crafting Knowledge-Intensive QA from Domain-Specific Charts AAAI 2026 Domain Faithfulness through Counterfactually Robust Learning CLeaR 2026 Domain Generalizable AI Guardrails with Augmented Policy Training ACL 2026 Domain Sensitive Federated Learning with Fisher-Informed Pruning CVPR 2026 Domain-Skewed Federated Learning with Feature Decoupling and Calibration CVPR 2026 Don’t Adapt Small Language Models for Tools; Adapt Tool Schemas to the Models ACL 2026 Don’t Be Misled by Style: A Style-Adaptive Reranker for Capturing Effective Knowledge in Retrieval-Augmented Generation ACL 2026 DOODLE: Diffusion-based Out-of-Distribution Learning for Open-set LiDAR Semantic Segmentation WACV 2026 Dormant Backdoor: Weaponizing Model Finetuning for Feasible Backdoor Attacks Against Pretrained Models AAAI 2026 DOS: Directional Object Separation in Text Embeddings for Multi-Object Image Generation AAAI 2026 DoTA: Latent Distribution Conditioned Data Attribution for Diffusion Models WACV 2026 DOTGraph: CLIP-Driven Feature Disentanglement and Optimal Transport based Graph Learning for Few-Shot Segmentation WACV 2026 Double: Breaking the Acceleration Limit via Double Retrieval Speculative Parallelism ACL 2026 Double Rounding: Nearly Lossless Adaptive Bit Switching for QAT AAAI 2026 Doubly Debiased Robust Subsampling for Transfer Learning JMLR 2026 Do Vision-Language Models Leak What They Learn? Adaptive Token-Weighted Model Inversion Attacks CVPR 2026 Do We Truly Need So Many Samples? Multi-LLM Repeated Sampling Efficiently Scales Test-Time Compute AAAI 2026 Do You Have Freestyle? Expressive Humanoid Locomotion via Audio Control CVPR 2026