Papers
A Matching-Based Algorithm for the Traveling Tournament Problem
Jingyang Zhao, Mingyu Xiao
A Mathematical Framework for AI-Human Integration in Work
L. Elisa Celis, Lingxiao Huang, Nisheeth K. Vishnoi
Ambient Diffusion Posterior Sampling: Solving Inverse Problems with Diffusion Models Trained on Corrupted Data
Asad Aali, Giannis Daras, Brett Levac et al.
Ambiguity-aware Multi-level Incongruity Fusion Network for Multi-Modal Sarcasm Detection
Kuntao Li, Yifan Chen, Qiaofeng Wu et al.
Ambiguity Awareness Optimization: Towards Semantic Disambiguation for Direct Preference Optimization
Jian Li, Shenglin Yin, Yujia Zhang et al.
Ambiguity Detection and Uncertainty Calibration for Question Answering with Large Language Models
Zhengyan Shi, Giuseppe Castellucci, Simone Filice et al.
Ambiguity-Restrained Text-Video Representation Learning for Partially Relevant Video Retrieval
Cheol-Ho Cho, WonJun Moon, WooJin Jun et al.
Ambiguous Instance-Aware Contrastive Network with Multi-Level Matching for Multi-View Document Clustering
Zhenqiu Shu, Teng Sun, Yunwei Luo et al.
Ambiguous Medical Image Segmentation Using Diffusion Schrödinger Bridge
Lalith Bharadwaj Baru, Kamalaker Dadi, Tapabrata Chakraborti et al.
AmbiK: Dataset of Ambiguous Tasks in Kitchen Environment
Anastasia Ivanova, Bakaeva Eva, Zoya Volovikova et al.
AmbiStory: A Challenging Dataset of Lexically Ambiguous Short Stories
Janosch Gehring, Michael Roth
AMCrawl: An Arabic Web-Scale Dataset of Interleaved Image-Text Documents and Image-Text Pairs
Shahad Aboukozzana, Muhammad Kamran J Khan, Ahmed Ali
amc: The Automated Mission Classifier for Telescope Bibliographies
John F. Wu, Joshua E.G. Peek, Sophie J. Miller et al.
amc: The Automated Mission Classifier for Telescope Bibliographies
John F. Wu, Joshua E.G. Peek, Sophie J. Miller et al.
AMD: Adaptive Momentum and Decoupled Contrastive Learning Framework for Robust Long-Tail Trajectory Prediction
Bin Rao, Haicheng Liao, Yanchen Guan et al.
AMDANet: Attention-Driven Multi-Perspective Discrepancy Alignment for RGB-Infrared Image Fusion and Segmentation
Haifeng Zhong, Fan Tang, Zhuo Chen et al.
A Measure of the System Dependence of Automated Metrics
Pius Von Däniken, Jan Milan Deriu, Mark Cieliebak
A Medical Image Classification Network Based on Multi-View Consistent Momentum Contrastive Learning
Chuangui Cao, Shifei Ding, Lili Guo
am-ELO: A Stable Framework for Arena-based LLM Evaluation
Zirui Liu, Jiatong Li, Yan Zhuang et al.
A Memory Efficient Randomized Subspace Optimization Method for Training Large Language Models
Yiming Chen, Yuan Zhang, Yin Liu et al.
A Meta-learner for Heterogeneous Effects in Difference-in-Differences
Hui Lan, Haoge Chang, Eleanor Wiske Dillon et al.
A Meta-Learning Approach to Bayesian Causal Discovery
Anish Dhir, Matthew Ashman, James Requeima et al.
A Method for Enhancing Generalization of Adam by Multiple Integrations
Long Jin, Han Nong, Liangming Chen et al.
A Methodological Framework for Measuring Spatial Labeling Similarity
Yihang Du, Jiaying Hu, Suyang Hou et al.