Papers
An Empirical Study of Distributed Deep Learning Training on Edge (Student Abstract)
Christine Mwase, Albert Njoroge Kahira, Zhuo Zou
A New Benchmark and Model for Challenging Image Manipulation Detection
Zhenfei Zhang, Mingyang Li, Ming-Ching Chang
A New Mechanism for Eliminating Implicit Conflict in Graph Contrastive Learning
Dongxiao He, Jitao Zhao, Cuiying Huo et al.
An Exercise in Tournament Design: When Some Matches Must Be Scheduled
Sushmita Gupta, Ramanujan Sridharan, Peter Strulo
Angle Robustness Unmanned Aerial Vehicle Navigation in GNSS-Denied Scenarios
Yuxin Wang, Zunlei Feng, Haofei Zhang et al.
An Implicit Trust Region Approach to Behavior Regularized Offline Reinforcement Learning
Zhe Zhang, Xiaoyang Tan
An Information-Flow Perspective on Algorithmic Fairness
Samuel Teuber, Bernhard Beckert
An Interpretable Approach to the Solutions of High-Dimensional Partial Differential Equations
Lulu Cao, Yufei Liu, Zhenzhong Wang et al.
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.