Papers
Anomaly Segmentation for High-Resolution Remote Sensing Images Based on Pixel Descriptors
Jingtao Li, Xinyu Wang, Hengwei Zhao et al.
An Online Presentation Slide Assessment System Using Visual and Semantic Segmentation Features
Shengzhou Yi, Junichiro Matsugami, Hiroshi Yumoto et al.
Anonymization for Skeleton Action Recognition
Saemi Moon, Myeonghyeon Kim, Zhenyue Qin et al.
An Operator Theoretic Approach for Analyzing Sequence Neural Networks
Ilan Naiman, Omri Azencot
AnoViz: A Visual Inspection Tool of Anomalies in Multivariate Time Series
Patara Trirat, Youngeun Nam, Taeyoon Kim et al.
Anti-drifting Feature Selection via Deep Reinforcement Learning (Student Abstract)
Aoran Wang, Hongyang Yang, Feng Mao et al.
Anytime User Engagement Prediction in Information Cascades for Arbitrary Observation Periods
Akshay Aravamudan, Xi Zhang, Georgios C. Anagnostopoulos
A Pair-Approximation Method for Modelling the Dynamics of Multi-Agent Stochastic Games
Chen Chu, Zheng Yuan, Shuyue Hu et al.
A Parameterized Theory of PAC Learning
Cornelius Brand, Robert Ganian, Kirill Simonov
Approval-Based Voting with Mixed Goods
Xinhang Lu, Jannik Peters, Haris Aziz et al.
Approximating Full Conformal Prediction at Scale via Influence Functions
Javier Abad Martinez, Umang Bhatt, Adrian Weller et al.
Approximations for Indivisible Concave Allocations with Applications to Nash Welfare Maximization
Nathaniel Kell, Kevin Sun
A Probabilistic Graph Diffusion Model for Source Localization (Student Abstract)
Tangjiang Qian, Xovee Xu, Zhe Xiao et al.
A Proof That Using Crossover Can Guarantee Exponential Speed-Ups in Evolutionary Multi-Objective Optimisation
Duc-Cuong Dang, Andre Opris, Bahare Salehi et al.
A Provable Framework of Learning Graph Embeddings via Summarization
Houquan Zhou, Shenghua Liu, Danai Koutra et al.
A Question-Answering Approach to Key Value Pair Extraction from Form-Like Document Images
Kai Hu, Zhuoyuan Wu, Zhuoyao Zhong et al.
A Reinforcement Learning Badminton Environment for Simulating Player Tactics (Student Abstract)
Li-Chun Huang, Nai-Zen Hsueh, Yen-Che Chien et al.
Are Transformers Effective for Time Series Forecasting?
Ailing Zeng, Muxi Chen, Lei Zhang et al.
A Risk-Sensitive Approach to Policy Optimization
Jared Markowitz, Ryan W. Gardner, Ashley Llorens et al.
A Robust and Scalable Stacked Ensemble for Day-Ahead Forecasting of Distribution Network Losses
Gunnar Grotmol, Eivind Hovdegård Furdal, Nisha Dalal et al.
A Scope Sensitive and Result Attentive Model for Multi-Intent Spoken Language Understanding
Lizhi Cheng, Wenmian Yang, Weijia Jia
A Semidefinite Relaxation Based Branch-and-Bound Method for Tight Neural Network Verification
Jianglin Lan, Benedikt Brückner, Alessio Lomuscio
A Semi-parametric Model for Decision Making in High-Dimensional Sensory Discrimination Tasks
Stephen Keeley, Benjamin Letham, Craig Sanders et al.
A Set of Control Points Conditioned Pedestrian Trajectory Prediction
Inhwan Bae, Hae-Gon Jeon