Application Areas

De-biased Natural Language Egocentric Task Verification via Prototypical Evidence Learning AAAI 2026 Debiasing Machine Learning Predictions for Causal Inference Without Additional Ground Truth Data: “One Map, Many Trials” in Satellite-Driven Poverty Analysis AAAI 2026 Decision-Driven Orthogonal Learning with Complementary Feature Mining for Robust Synthetic Image Detection AAAI 2026 Decoding Time Series with LLMs: A Multi-Agent Framework for Cross-Domain Annotation EACL 2026 Decomposing Direct and Indirect Biases in Linear Models Under Demographic Parity Constraint AAAI 2026 Decomposing Direct and Indirect Biases in Linear Models Under Demographic Parity Constraint (Student Abstract) AAAI 2026 Decomposing Prompts, Composing Actions: A Multi-Granularity Prompting Approach for Incremental Action Learning AAAI 2026 Decoupling Scene Perception and Ego Status: A Multi-Context Fusion Approach for Enhanced Generalization in End-to-End Autonomous Driving AAAI 2026 Deepfake Detection that Generalizes Across Benchmarks WACV 2026 DeepGB-TB: A Risk-Balanced Cross-Attention Gradient-Boosted Convolutional Network for Rapid, Interpretable Tuberculosis Screening AAAI 2026 Deep Image Decomposition for Medical Imaging Anonymization and Curation WACV 2026 DeepInsert: Early Layer Bypass for Efficient and Performant Multimodal Understanding EACL 2026 Deep Model Reuse: Paving the Way for Efficient and Generalizable AI Systems AAAI 2026 DeepRAHT: Learning Predictive RAHT for Point Cloud Attribute Compression AAAI 2026 DeepRWCap: Neural-Guided Random-Walk Capacitance Solver for IC Design AAAI 2026 DeepTracer: Tracing Stolen Model via Deep Coupled Watermarks AAAI 2026 Deferred Poisoning: Making the Model More Vulnerable via Hessian Singularization AAAI 2026 DeFT-LoRA: Decoupled and Fused Tuning with LoRA Experts for Universal Cross-Domain Retrieval AAAI 2026 DeFuzzRAG: Handling Fuzzy Time Expressions for Temporal Robustness in Retrieval-Augmented Generation AAAI 2026 Delayed Feedback Modeling with Influence Functions AAAI 2026 Delta-LLaVA: Base-then-Specialize Alignment for Token-Efficient Vision-Language Models WACV 2026 Democratizing LLM Efficiency: From Hyperscale Optimizations to Universal Deployability AAAI 2026 Demographic Parity in Regression and Classification Within the Unawareness Framework JMLR 2026 Demystifying Foreground-Background Memorization in Diffusion Models AAAI 2026 Demystifying GNN-to-MLP Knowledge Transfer: Theoretical Grounding and Dual-Stream Distillation Method AAAI 2026