Papers
Optimality, Accuracy, and Efficiency of an Exact Functional Test
Hien H. Nguyen, Hua Zhong, Mingzhou Song
Optimal Margin Distribution Machine for Multi-Instance Learning
Teng Zhang, Hai Jin
Optimal Planning Modulo Theories
Francesco Leofante, Enrico Giunchiglia, Erika Ábráham et al.
Optimal Policy for Deployment of Machine Learning Models on Energy-Bounded Systems
Seyed Iman Mirzadeh, Hassan Ghasemzadeh
Optimal Region Search with Submodular Maximization
Xuefeng Chen, Xin Cao, Yifeng Zeng et al.
Optimising Partial-Order Plans Via Action Reinstantiation
Max Waters, Lin Padgham, Sebastian Sardina
OptStream: Releasing Time Series Privately (Extended Abstract)
Ferdinando Fioretto, Pascal Van Hentenryck
Order-Dependent Event Models for Agent Interactions
Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian
Overcoming Language Priors with Self-supervised Learning for Visual Question Answering
Xi Zhu, Zhendong Mao, Chunxiao Liu et al.
Overcoming the Grounding Bottleneck Due to Constraints in ASP Solving: Constraints Become Propagators
Bernardo Cuteri, Carmine Dodaro, Francesco Ricca et al.
Overflow Aware Quantization: Accelerating Neural Network Inference by Low-bit Multiply-Accumulate Operations
Hongwei Xie, Yafei Song, Ling Cai et al.
Partial Adversarial Behavior Deception in Security Games
Thanh H. Nguyen, Arunesh Sinha, He He
Partial Multi-Label Learning via Multi-Subspace Representation
Ziwei Li, Gengyu Lyu, Songhe Feng
Participatory Budgeting with Project Interactions
Pallavi Jain, Krzysztof Sornat, Nimrod Talmon
Pattern-Based Music Generation with Wasserstein Autoencoders and PRC Descriptions
Valentijn Borghuis, Luca Angioloni, Lorenzo Brusci et al.
Pay Attention to Devils: A Photometric Stereo Network for Better Details
Yakun Ju, Kin-Man Lam, Yang Chen et al.
pbSGD: Powered Stochastic Gradient Descent Methods for Accelerated Non-Convex Optimization
Beitong Zhou, Jun Liu, Weigao Sun et al.
PeerNomination: Relaxing Exactness for Increased Accuracy in Peer Selection
Nicholas Mattei, Paolo Turrini, Stanislav Zhydkov
Peer-Prediction in the Presence of Outcome Dependent Lying Incentives
Naman Goel, Aris Filos-Ratsikas, Boi Faltings
Performance as a Constraint: An Improved Wisdom of Crowds Using Performance Regularization
Jiyi Li, Yasushi Kawase, Yukino Baba et al.
PewLSTM: Periodic LSTM with Weather-Aware Gating Mechanism for Parking Behavior Prediction
Feng Zhang, Ningxuan Feng, Yani Liu et al.
Phishing Scam Detection on Ethereum: Towards Financial Security for Blockchain Ecosystem
Weili Chen, Xiongfeng Guo, Zhiguang Chen et al.
Pitfalls of Learning a Reward Function Online
Stuart Armstrong, Jan Leike, Laurent Orseau et al.