Papers
Optimal Feature Transport for Cross-View Image Geo-Localization
Yujiao Shi, Xin Yu, Liu Liu et al.
Optimal Margin Distribution Learning in Dynamic Environments
Teng Zhang, Peng Zhao, Hai Jin
Optimization of Chance-Constrained Submodular Functions
Benjamin Doerr, Carola Doerr, Aneta Neumann et al.
Optimizing Discrete Spaces via Expensive Evaluations: A Learning to Search Framework
Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa et al.
Optimizing Nondecomposable Data Dependent Regularizers via Lagrangian Reparameterization Offers Significant Performance and Efficiency Gains
Sathya N. Ravi, Abhay Venkatesh, Glenn M. Fung et al.
Optimizing Reachability Sets in Temporal Graphs by Delaying
Argyrios Deligkas, Igor Potapov
Options of Interest: Temporal Abstraction with Interest Functions
Khimya Khetarpal, Martin Klissarov, Maxime Chevalier-Boisvert et al.
Order-Free Learning Alleviating Exposure Bias in Multi-Label Classification
Che-Ping Tsai, Hung-Yi Lee
Order Matters: Semantic-Aware Neural Networks for Binary Code Similarity Detection
Zeping Yu, Rui Cao, Qiyi Tang et al.
Outlier Detection Ensemble with Embedded Feature Selection
Li Cheng, Yijie Wang, Xinwang Liu et al.
Overcoming Catastrophic Forgetting by Neuron-Level Plasticity Control
Inyoung Paik, Sangjun Oh, Taeyeong Kwak et al.
Overcoming Language Priors in VQA via Decomposed Linguistic Representations
Chenchen Jing, Yuwei Wu, Xiaoxun Zhang et al.
OVL: One-View Learning for Human Retrieval
Wenjing Li, Zhongcheng Wu
Pairwise Fairness for Ranking and Regression
Harikrishna Narasimhan, Andrew Cotter, Maya Gupta et al.
Pairwise Learning with Differential Privacy Guarantees
Mengdi Huai, Di Wang, Chenglin Miao et al.
Parallel AND/OR Search for Marginal MAP
Radu Marinescu, Akihiro Kishimoto, Adi Botea
ParamE: Regarding Neural Network Parameters as Relation Embeddings for Knowledge Graph Completion
Feihu Che, Dawei Zhang, Jianhua Tao et al.
Parameterised Resource-Bounded ATL
Natasha Alechina, Stéphane Demri, Brian Logan
Parameterized Algorithms for Finding a Collective Set of Items
Robert Bredereck, Piotr Faliszewski, Andrzej Kaczmarczyk et al.
Parameterized Complexity of Envy-Free Resource Allocation in Social Networks
Eduard Eiben, Robert Ganian, Thekla Hamm et al.
Parameterized Indexed Value Function for Efficient Exploration in Reinforcement Learning
Tian Tan, Zhihan Xiong, Vikranth R. Dwaracherla
Parsing as Pretraining
David Vilares, Michalina Strzyz, Anders Søgaard et al.
Partial Label Learning with Batch Label Correction
Yan Yan, Yuhong Guo