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34,437 papers (4 classified directly here)

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Papers (including subtopics)

Differentially Private Subspace Fine-Tuning for Large Language Models AAAI 2026 Difficulty Controlled Diffusion Model for Synthesizing Effective Training Data AAAI 2026 Diffusion-Based Action Recognition Generalizes to Untrained Domains WACV 2026 Diffusion Model Based Signal Recovery Under 1-Bit Quantization AAAI 2026 Diffusion Noise Optimization for Synthetic VLM Training WACV 2026 DiMA: Distinguishing Resident and Tourist Preferences via Multi-Modal LLM Alignment for Out-of-Town Cross-Domain Recommendation AAAI 2026 DINOv3-Powered Multi-Task Foundation Model for Quantitative Remote Sensing Estimation (Student Abstract) AAAI 2026 Directing Uncertainty-Aware Information Flow for Robust Diffusion Prediction AAAI 2026 DiRe: Diversity-promoting Regularization for Dataset Condensation WACV 2026 DISCODE: Distribution-Aware Score Decoder for Robust Automatic Evaluation of Image Captioning AAAI 2026 Discourses of Prevention: A Multimodal Study of HPV Vaccination Campaigns in Italy EACL 2026 Discovery of Feasible 3D Printing Configurations for Metal Alloys via AI-Driven Adaptive Experimental Design AAAI 2026 Disentangled Generation-Based Prototypical Alignment for Few-Shot Unsupervised Domain Adaptation in Graph-Level Anomaly Detection AAAI 2026 Disentangling for Transfer: Boosting Limited Modalities via Information-Theoretic Regularization and Cross-Modal Reconstruction AAAI 2026 DisGraph-RP: Graph-Augmented Temporal Modeling with Aspect-Based Contrastive Encoding of Discharge Summary for Readmission Prediction EACL 2026 Distillation Dynamics: Towards Understanding Feature-Based Distillation in Vision Transformers AAAI 2026 Distilling Cross-Modal Knowledge via Feature Disentanglement AAAI 2026 Distilling Diversity and Control in Diffusion Models WACV 2026 Distilling Future Temporal Knowledge with Masked Feature Reconstruction for 3D Object Detection AAAI 2026 Distilling Large Embeddings via Hyperspherical Householder Quantization ACL 2026 Distilling Offline Action Detection Models into Real-Time Streaming Models WACV 2026 Distilling What and Why: Enhancing Driver Intention Prediction with MLLMs WACV 2026 Distribution Shift Is Key to Learning Invariant Prediction AAAI 2026 DITTO: A Spoofing Attack Framework on Watermarked LLMs via Knowledge Distillation EACL 2026 DivControl: Knowledge Diversion for Controllable Image Generation AAAI 2026