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34,437 papers (4 classified directly here)

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Papers (including subtopics)

Trauma THOMPSON: A Dataset and Realistic Generative Framework for AI Copilots in Emergency Care AAAI 2026 TR-DQ: Time-Rotation Diffusion Quantization AAAI 2026 Treatment Stitching with Schrödinger Bridge for Enhancing Offline Reinforcement Learning in Adaptive Treatment Strategies AAAI 2026 TreeBridge: Aligning LLM Embeddings in Industrial Recommender Systems AAAI 2026 Trimming the Fat: Redundancy-Aware Acceleration Framework for DGNNs AAAI 2026 Trove: A Flexible Toolkit for Dense Retrieval EACL 2026 TRUST: Leveraging Text Robustness for Unsupervised Domain Adaptation AAAI 2026 TRUST: Transaction Risk via Unified Sequence and Topology AAAI 2026 Trustworthy AI-Assisted Programming: Detection and Repair of Unreliable Code AAAI 2026 Truth, Justice, and Secrecy: Cake Cutting Under Privacy Constraints AAAI 2026 TTA-Bench: A Comprehensive Benchmark for Evaluating Text-to-Audio Models AAAI 2026 TuckA: Hierarchical Compact Tensor Experts for Efficient Fine-Tuning AAAI 2026 TUNE: A Task For Turkish Machine Unlearning For Data Privacy EACL 2026 Tuning Medical Foundation Models for Inner Ear Temporal CT Analysis with Plug-and-play Domain Knowledge Aggregator AAAI 2026 Turbo-VAED: Fast and Stable Transfer of Video-VAEs to Mobile Devices AAAI 2026 TWINFUZZ: Dual-Model Fuzzing for Robustness Generalization in Deep Learning AAAI 2026 UCDSC: Open Set UnCertainty aware Deep Simplex Classifier for Medical Image Datasets WACV 2026 UI-Styler: Ultrasound Image Style Transfer with Class-Aware Prompts for Cross-Device Diagnosis Using a Frozen Black-Box Inference Network WACV 2026 Ultra-Low-Dimensional Prompt Tuning via Random Projection EACL 2026 Uncertainty-Aware Subset Selection for Robust Visual Explainability under Distribution Shifts WACV 2026 Uncovering and Mitigating Destructive Multi-Embedding Attacks in Deepfake Proactive Forensics AAAI 2026 Uncovering and Mitigating Transient Blindness in Multimodal Model Editing AAAI 2026 Uncovering Bias Paths with LLM-guided Causal Discovery: An Active Learning and Dynamic Scoring Approach AAAI 2026 Uncovering Pretraining Code in LLMs: A Syntax-Aware Attribution Approach AAAI 2026 Understanding Human-Like Biases in VLMs via Subjective Face Analytics WACV 2026