Papers
Optimal Attack and Defense for Reinforcement Learning
Jeremy McMahan, Young Wu, Xiaojin Zhu et al.
Optimal Mechanism in a Dynamic Stochastic Knapsack Environment
Jihyeok Jung, Chan-Oi Song, Deok-Joo Lee et al.
Optimal Quasi-clique: Hardness, Equivalence with Densest-k-Subgraph, and Quasi-partitioned Community Mining
Aritra Konar, Nicholas D. Sidiropoulos
Optimal Survival Trees: A Dynamic Programming Approach
Tim Huisman, Jacobus G. M. van der Linden, Emir Demirović
Optimal Transport with Cyclic Symmetry
Shoichiro Takeda, Yasunori Akagi, Naoki Marumo et al.
Optimal Transport with Tempered Exponential Measures
Ehsan Amid, Frank Nielsen, Richard Nock et al.
Optimised Storage for Datalog Reasoning
Xinyue Zhang, Pan Hu, Yavor Nenov et al.
Optimistic Model Rollouts for Pessimistic Offline Policy Optimization
Yuanzhao Zhai, Yiying Li, Zijian Gao et al.
Optimistic Policy Gradient in Multi-Player Markov Games with a Single Controller: Convergence beyond the Minty Property
Ioannis Anagnostides, Ioannis Panageas, Gabriele Farina et al.
Optimistic Value Instructors for Cooperative Multi-Agent Reinforcement Learning
Chao Li, Yupeng Zhang, Jianqi Wang et al.
Optimize & Reduce: A Top-Down Approach for Image Vectorization
Or Hirschorn, Amir Jevnisek, Shai Avidan
Optimizing ADMM and Over-Relaxed ADMM Parameters for Linear Quadratic Problems
Jintao Song, Wenqi Lu, Yunwen Lei et al.
Optimizing IT FinOps and Sustainability through Unsupervised Workload Characterization
Xi Yang, Rohan R. Arora, Saurabh Jha et al.
Optimizing Local Satisfaction of Long-Run Average Objectives in Markov Decision Processes
David Klaška, Antonín Kučera, Vojtěch Kůr et al.
Optimizing the Optimization of Planning Domains by Automatic Action Schema Splitting
Mojtaba Elahi, Jussi Rintanen
ORES: Open-Vocabulary Responsible Visual Synthesis
Minheng Ni, Chenfei Wu, Xiaodong Wang et al.
Orthogonal Dictionary Guided Shape Completion Network for Point Cloud
Pingping Cai, Deja Scott, Xiaoguang Li et al.
OSFFNet: Omni-Stage Feature Fusion Network for Lightweight Image Super-Resolution
Yang Wang, Tao Zhang
OUTFOX: LLM-Generated Essay Detection Through In-Context Learning with Adversarially Generated Examples
Ryuto Koike, Masahiro Kaneko, Naoaki Okazaki
Outlier Ranking for Large-Scale Public Health Data
Ananya Joshi, Tina Townes, Nolan Gormley et al.
Out-of-Distribution Detection in Long-Tailed Recognition with Calibrated Outlier Class Learning
Wenjun Miao, Guansong Pang, Xiao Bai et al.
Out of Thin Air: Exploring Data-Free Adversarial Robustness Distillation
Yuzheng Wang, Zhaoyu Chen, Dingkang Yang et al.
OVD-Explorer: Optimism Should Not Be the Sole Pursuit of Exploration in Noisy Environments
Jinyi Liu, Zhi Wang, Yan Zheng et al.