Papers
Open Domain Dialogue Generation with Latent Images
Ze Yang, Wei Wu, Huang Hu et al.
Open-Set Recognition with Gaussian Mixture Variational Autoencoders
Alexander Cao, Yuan Luo, Diego Klabjan
OpEvo: An Evolutionary Method for Tensor Operator Optimization
Xiaotian Gao, Wei Cui, Lintao Zhang et al.
Opponent Hand Estimation in Gin Rummy Using Deep Neural Networks and Heuristic Strategies
Bhaskar Mishra, Ashish Aggarwal
Opponent Hand Estimation in the Game of Gin Rummy
Peter E. Francis, Hoang A. Just, Todd W. Neller
OPQ: Compressing Deep Neural Networks with One-shot Pruning-Quantization
Peng Hu, Xi Peng, Hongyuan Zhu et al.
OPRA: An Open-Source Online Preference Reporting and Aggregation System
Yiwei Chen, Jingwen Qian, Junming Wang et al.
Optical Flow Estimation from a Single Motion-blurred Image
Dawit Mureja Argaw, Junsik Kim, Francois Rameau et al.
Optimal Decision Trees for Nonlinear Metrics
Emir Demirović, Peter J. Stuckey
Optimal Kidney Exchange with Immunosuppressants
Haris Aziz, Ágnes Cseh, John P. Dickerson et al.
Optimising Automatic Calibration of Electric Muscle Stimulation
Graeme Gange, Jarrod Knibbe
Optimizing Information Theory Based Bitwise Bottlenecks for Efficient Mixed-Precision Activation Quantization
Xichuan Zhou, Kui Liu, Cong Shi et al.
Oral-3D: Reconstructing the 3D Structure of Oral Cavity from Panoramic X-ray
Weinan Song, Yuan Liang, Jiawei Yang et al.
Ordered Counterfactual Explanation by Mixed-Integer Linear Optimization
Kentaro Kanamori, Takuya Takagi, Ken Kobayashi et al.
Order Regularization on Ordinal Loss for Head Pose, Age and Gaze Estimation
Tianchu Guo, Hui Zhang, ByungIn Yoo et al.
Ordinal Historical Dependence in Graphical Event Models with Tree Representations
Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian
OT-Flow: Fast and Accurate Continuous Normalizing Flows via Optimal Transport
Derek Onken, Samy Wu Fung, Xingjian Li et al.
Outlier Impact Characterization for Time Series Data
Jianbo Li, Lecheng Zheng, Yada Zhu et al.
Out-of-Town Recommendation with Travel Intention Modeling
Haoran Xin, Xinjiang Lu, Tong Xu et al.
Overcoming Catastrophic Forgetting in Graph Neural Networks
Huihui Liu, Yiding Yang, Xinchao Wang
Overcoming Catastrophic Forgetting in Graph Neural Networks with Experience Replay
Fan Zhou, Chengtai Cao
Over-MAP: Structural Attention Mechanism and Automated Semantic Segmentation Ensembled for Uncertainty Prediction
Charles A. Kantor, Léonard Boussioux, Brice Rauby et al.
OzoMorph: Demonstrating Colored Multi-Agent Path Finding on Real Robots
Roman Barták, Jakub Mestek
PAC Learning of Causal Trees with Latent Variables
Prasad Tadepalli, Stuart J. Russell
PANTHER: Pathway Augmented Nonnegative Tensor Factorization for HighER-order Feature Learning
Yuan Luo, Chengsheng Mao