Papers
AnomalyDiffusion: Few-Shot Anomaly Image Generation with Diffusion Model
Teng Hu, Jiangning Zhang, Ran Yi et al.
AnomalyGPT: Detecting Industrial Anomalies Using Large Vision-Language Models
Zhaopeng Gu, Bingke Zhu, Guibo Zhu et al.
A Non-parametric Graph Clustering Framework for Multi-View Data
Shengju Yu, Siwei Wang, Zhibin Dong et al.
An Optimal Transport View for Subspace Clustering and Spectral Clustering
Yuguang Yan, Zhihao Xu, Canlin Yang et al.
Another Way to the Top: Exploit Contextual Clustering in Learned Image Coding
Yichi Zhang, Zhihao Duan, Ming Lu et al.
A Novel Energy Based Model Mechanism for Multi-Modal Aspect-Based Sentiment Analysis
Tianshuo Peng, Zuchao Li, Ping Wang et al.
A Novel Skip Orthogonal List for Dynamic Optimal Transport Problem
Xiaoyang Xu, Hu Ding
Any-Size-Diffusion: Toward Efficient Text-Driven Synthesis for Any-Size HD Images
Qingping Zheng, Yuanfan Guo, Jiankang Deng et al.
Any-Stereo: Arbitrary Scale Disparity Estimation for Iterative Stereo Matching
Zhaohuai Liang, Changhe Li
Any-Way Meta Learning
JunHoo Lee, Yearim Kim, Hyunho Lee et al.
A PAC Learning Algorithm for LTL and Omega-Regular Objectives in MDPs
Mateo Perez, Fabio Somenzi, Ashutosh Trivedi
A Perspective of Q-value Estimation on Offline-to-Online Reinforcement Learning
Yinmin Zhang, Jie Liu, Chuming Li et al.
A Picture Is Worth a Thousand Words: Co-designing Text-to-Image Generation Learning Materials for K-12 with Educators
Safinah Ali, Prerna Ravi, Katherine Moore et al.
A Plug-and-Play Quaternion Message-Passing Module for Molecular Conformation Representation
Angxiao Yue, Dixin Luo, Hongteng Xu
A Positive-Unlabeled Metric Learning Framework for Document-Level Relation Extraction with Incomplete Labeling
Ye Wang, Huazheng Pan, Tao Zhang et al.
Approval-Based Committee Voting in Practice: A Case Study of (over-)Representation in the Polkadot Blockchain
Niclas Boehmer, Markus Brill, Alfonso Cevallos et al.
Approximate Distance Oracle for Fault-Tolerant Geometric Spanners
Kyungjin Cho, Jihun Shin, Eunjin Oh
Approximating the Shapley Value without Marginal Contributions
Patrick Kolpaczki, Viktor Bengs, Maximilian Muschalik et al.
Approximation Algorithms for Preference Aggregation Using CP-Nets
Abu Mohammad Hammad Ali, Boting Yang, Sandra Zilles
Approximation Scheme for Weighted Metric Clustering via Sherali-Adams
Dmitrii Avdiukhin, Vaggos Chatziafratis, Konstantin Makarychev et al.
A Pre-convolved Representation for Plug-and-Play Neural Illumination Fields
Yiyu Zhuang, Qi Zhang, Xuan Wang et al.
A Primal-Dual Algorithm for Hybrid Federated Learning
Tom Overman, Garrett Blum, Diego Klabjan