Papers
Augmenting Human Creativity with Machine Learning
Hao-Wen Dong
Augmenting Intra-Modal Understanding in MLLMs for Robust Multimodal Keyphrase Generation
Jiajun Cao, Qinggang Zhang, Yunbo Tang et al.
Augmenting with NeRFs: Fast Relocalization on Densified Datasets
Michael Tomadakis, Rebecca Borissova, Yuxuan Zhang et al.
Augur: Modeling Covariate Causal Associations in Time Series via Large Language Models
Zhiqing Cui, Binwu Wang, Qingxiang Liu et al.
A Unified Convergence Analysis for Semi-Decentralized Learning: Sampled-to-Sampled vs. Sampled-to-All Communication
Angelo Rodio, Giovanni Neglia, Zheng Chen et al.
A Unified Diffusion-Based Framework for Multi-Agent Trajectory Prediction Integrating Structured Multi-Modal Representations
Chenxi Yang, Suyang Xi, Hong Ding et al.
A Unified Framework for Modeling Heterogeneous Financial Data via Dual-Granularity Prompting
Yu Lei, Zixuan Wang, Yiqing Feng et al.
A Unified Geospatial Clustering Framework to Identify Varying Density Clusters in E-Commerce Logistics
Arpit Tiwari, Bhavuk Singhal, Anshu Aditya et al.
A Unified Self-Regulating Training Framework for Federated Deep Reinforcement Learning
Meng Xu, Xinhong Chen, Zhongying Chen et al.
A Unified Shape-Aware Foundation Model for Time Series Classification
Zhen Liu, Yucheng Wang, Boyuan Li et al.
A Unified Turkic Idiom Understanding Benchmark: Idiom Detection and Semantic Retrieval Across Five Turkic Languages
Gözde Aslantaş, Tunga Gungor
A Unified View on Emotion Representation in Large Language Models
Aishwarya Maheswaran, Maunendra Sankar Desarkar
A Universal Self-Attention Enhancement for Bridging Low-bit Quantization and Vision Transformers
Jiahe Qian, Peisong Wang, Zhengyang Zhuge et al.
AURA: Affordance-Understanding and Risk-aware Alignment Technique for Large Language Models
Sayantan Adak, Pratyush Chatterjee, Somnath Banerjee et al.
AURA: Development and Validation of an Augmented Unplanned Removal Alert System Using Synthetic ICU Videos
Junhyuk Seo, Hyeyoon Moon, Kyu-Hwan Jung et al.
AURORA: Augmented Understanding via Structured Reasoning and Reinforcement Learning for Reference Audio-Visual Segmentation
Ziyang Luo, Nian Liu, Fahad Shahbaz Khan et al.
AusSmoke meets MultiNatSmoke: a fully-labelled diverse smoke segmentation dataset
Weihao Li, Hongjin Zhao, Gao Zhu et al.
AuthGuard: Generalizable Deepfake Detection via Language Guidance
Guangyu Shen, Zhihua Li, Xiang Xu et al.
Authority Backdoor: A Certifiable Backdoor Mechanism for Authoring DNNs
Han Yang, Shaofeng Li, Tian Dong et al.
Authorship Attribution in Multilingual Machine-Generated Texts
Lucio La Cava, Dominik Macko, Robert Moro et al.
AuthSig: Safeguarding Scanned Signatures Against Unauthorized Reuse in Paperless Workflows
Ruiqiang Zhang, Zehua Ma, Guanjie Wang et al.
AutoAnoEval: Semantic-Aware Model Selection via Tree-Guided LLM Reasoning for Tabular Anomaly Detection
Suhee Yoon, Sanghyu Yoon, Ye Seul Sim et al.
Auto-BenchmarkCard: Automated Synthesis of Benchmark Documentation
Aris Hofmann, Inge Vejsbjerg, Dhaval Salwala et al.
AutoBool: Reinforcement-Learned LLM for Effective Automatic Systematic Reviews Boolean Query Generation
Shuai Wang, Harrisen Scells, Bevan Koopman et al.