Papers
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
Paragraph-level Commonsense Transformers with Recurrent Memory
Saadia Gabriel, Chandra Bhagavatula, Vered Shwartz et al.
Parallel Constraint Acquisition
Nadjib Lazaar
Parameterized Algorithms for MILPs with Small Treedepth
Cornelius Brand, Martin Koutecký, Sebastian Ordyniak
Parameterized Complexity of Logic-Based Argumentation in Schaefer's Framework
Yasir Mahmood, Arne Meier, Johannes Schmidt
Parameterized Complexity of Small Decision Tree Learning
Sebastian Ordyniak, Stefan Szeider
Parameterized Logical Theories
Fangzhen Lin
Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies
Giulia Zarpellon, Jason Jo, Andrea Lodi et al.
Pareto Optimization for Subset Selection with Dynamic Partition Matroid Constraints
Anh Viet Do, Frank Neumann
Partial Is Better Than All: Revisiting Fine-tuning Strategy for Few-shot Learning
Zhiqiang Shen, Zechun Liu, Jie Qin et al.
Partial-Label and Structure-constrained Deep Coupled Factorization Network
Yan Zhang, Zhao Zhang, Yang Wang et al.
Partially Non-Autoregressive Image Captioning
Zhengcong Fei
Passive learning of Timed Automata from logs (Student Abstract)
Lénaïg Cornanguer
PASSLEAF: A Pool-bAsed Semi-Supervised LEArning Framework for Uncertain Knowledge Graph Embedding
Zhu-Mu Chen, Mi-Yen Yeh, Tei-Wei Kuo
Patch-Wise Attention Network for Monocular Depth Estimation
Sihaeng Lee, Janghyeon Lee, Byungju Kim et al.
Path to Automating Ocean Health Monitoring
Mak Ahmad, J. Scott Penberthy, Abigail Powell
PC-HMR: Pose Calibration for 3D Human Mesh Recovery from 2D Images/Videos
Tianyu Luan, Yali Wang, Junhao Zhang et al.