Papers
An Interactive Explanatory AI System for Industrial Quality Control
Dennis Müller, Michael März, Stephan Scheele et al.
Anisotropic Additive Quantization for Fast Inner Product Search
Jin Zhang, Qi Liu, Defu Lian et al.
Anisotropic Fourier Features for Neural Image-Based Rendering and Relighting
Huangjie Yu, Anpei Chen, Xin Chen et al.
Annotation Cost-Sensitive Deep Active Learning with Limited Data (Student Abstract)
Renaud Bernatchez, Audrey Durand, Flavie Lavoie-Cardinal
AnomalyKiTS: Anomaly Detection Toolkit for Time Series
Dhaval Patel, Giridhar Ganapavarapu, Srideepika Jayaraman et al.
An Online Learning Approach to Sequential User-Centric Selection Problems
Junpu Chen, Hong Xie
An Ontological Approach towards Automatic Creation of Infographics from Formal Text (Student Abstract)
Devin Garg, Tanuj Agarwal, Chiranjoy Chattopadhyay
An Optimal Transport Approach to Deep Metric Learning (Student Abstract)
Jason Xiaotian Dou, Lei Luo, Raymond Mingrui Yang
A Novel Approach to Solving Goal-Achieving Problems for Board Games
Chung-Chin Shih, Ti-Rong Wu, Ting Han Wei et al.
Answering Queries with Negation over Existential Rules
Stefan Ellmauthaler, Markus Krötzsch, Stephan Mennicke
An Unsupervised Way to Understand Artifact Generating Internal Units in Generative Neural Networks
Haedong Jeong, Jiyeon Han, Jaesik Choi
Anytime Guarantees under Heavy-Tailed Data
Matthew J. Holland
Anytime Multi-Agent Path Finding via Machine Learning-Guided Large Neighborhood Search
Taoan Huang, Jiaoyang Li, Sven Koenig et al.
Approval-Based Committee Voting under Incomplete Information
Aviram Imber, Jonas Israel, Markus Brill et al.
ApproxASP – a Scalable Approximate Answer Set Counter
Mohimenul Kabir, Flavio O Everardo, Ankit K Shukla et al.
ApproxIFER: A Model-Agnostic Approach to Resilient and Robust Prediction Serving Systems
Mahdi Soleymani, Ramy E. Ali, Hessam Mahdavifar et al.
A Probabilistic Framework for Land Deformation Prediction (Student Abstract)
Rongfan Li, Fan Zhou, Goce Trajcevski et al.
A Provably-Efficient Model-Free Algorithm for Infinite-Horizon Average-Reward Constrained Markov Decision Processes
Honghao Wei, Xin Liu, Lei Ying
A Random CNN Sees Objects: One Inductive Bias of CNN and Its Applications
Yun-Hao Cao, Jianxin Wu
Are Vision-Language Transformers Learning Multimodal Representations? A Probing Perspective
Emmanuelle Salin, Badreddine Farah, Stéphane Ayache et al.
Artificial Intelligence Approaches to Build Ticket to Ride Maps
Iain Smith, Calin Anton
A Scalable Parallel Algorithm for Balanced Sampling (Student Abstract)
Alexander Lee, Stefan Walzer-Goldfeld, Shukry Zablah et al.
A* Search and Bound-Sensitive Heuristics for Oversubscription Planning
Michael Katz, Emil Keyder
A Search Engine for Discovery of Scientific Challenges and Directions
Dan Lahav, Jon Saad Falcon, Bailey Kuehl et al.