Artificial Intelligence
83,018 papers (0 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
2
2
10
16
4
22
142
170
186
174
228
232
299
478
424
470
688
1,389
2,431
4,106
5,263
6,557
7,659
9,959
14,521
18,823
8,763
2000
'5
'10
'15
'20
'25
Papers (including subtopics)
U-Mind: A Unified Framework for Real-Time Multimodal Interaction with Audiovisual Generation
CVPR 2026
UMMF: Protecting Copyright of Large Vision-Language Models through Unlearning-based Multimodal Memorization Fingerprint
ACL 2026
UMPIRE: Unveiling LLM-generated Posts via Redundant Expressions
ACL 2026
UM–ProtoShare: UNet-Guided, Multi-scale Shared Prototypes for Interpretable Brain Tumour Classification Using Multi-sequence 3D MRI
MIDL 2026
UM-Text: A Unified Multimodal Model for Image Understanding and Visual Text Editing
AAAI 2026
Uncertainty-aware Cycle Diffusion Model for Fair Glaucoma Diagnosis
MIDL 2026
Uncertainty-Aware Exploratory Direct Preference Optimization for Multimodal Large Language Models
CVPR 2026
Uncertainty-Aware Knowledge Distillation for Multimodal Large Language Models
CVPR 2026
Uncertainty-Aware Modality Fusion for Unaligned RGB-T Salient Object Detection
CVPR 2026
Uncertainty-Aware Routing for Principled Alignment with MoE Dynamics
ACL 2026
Uncertainty-Aware Subset Selection for Robust Visual Explainability under Distribution Shifts
WACV 2026
Uncertainty-Aware Test-Time Search for Optimization Problem Solving
ACL 2026
Uncertainty-Based Methods for Automated Process Reward Data Construction and Output Aggregation in Mathematical Reasoning
AAAI 2026
Uncertainty-driven 3D Gaussian Splatting Active Mapping via Anisotropic Visibility Field
CVPR 2026
Uncertainty-guided Compositional Alignment with Part-to-Whole Semantic Representativeness in Hyperbolic Vision-Language Models
CVPR 2026
Uncertainty-Guided View-Strength-Aware Feature Utilization for Multi-View Classification
AAAI 2026
Uncertainty Quantification for Machine Learning: One Size Does Not Fit All
AAAI 2026
Uncertainty Quantification for Regression: A Unified Framework based on kernel scores
UAI 2026
Uncertainty Quantification in LLM Agents: Foundations, Emerging Challenges, and Opportunities
ACL 2026
Uncertainty Quantification of Click and Conversion Estimates for the Autobidding
UAI 2026
Uncovering and Aligning Anomalous Attention Heads to Defend Against NLP Backdoor Attacks
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 Hidden Correctness in LLM Causal Reasoning via Symbolic Verification
EACL 2026
Uncovering Intervention Opportunities for Suicide Prevention with Language Model Assistants
ACL 2026