Paper Papers

OntoFact: Unveiling Fantastic Fact-Skeleton of LLMs via Ontology-Driven Reinforcement Learning

Ziyu Shang, Ke Wenjun, Nana Xiu et al.

On Unsupervised Domain Adaptation: Pseudo Label Guided Mixup for Adversarial Prompt Tuning

Open-Set Facial Expression Recognition

Yuhang Zhang, Yue Yao, Xuannan Liu et al.

Open-Set Graph Domain Adaptation via Separate Domain Alignment

Yu Wang, Ronghang Zhu, Pengsheng Ji et al.

Open-Vocabulary Video Relation Extraction

Operationalizing Essential Characteristics of Creativity in a Computational System for Music Composition

Paul Bodily, Dan Ventura

Operator-Learning-Inspired Modeling of Neural Ordinary Differential Equations

Woojin Cho, Seunghyeon Cho, Hyundong Jin et al.

Opponent-Model Search in Games with Incomplete Information

Junkang Li, Bruno Zanuttini, Véronique Ventos

Optical Flow for Spike Camera with Hierarchical Spatial-Temporal Spike Fusion

Authors: Rui Zhao, Ruiqin Xiong, Jian Zhang et al.

Optimal Attack and Defense for Reinforcement Learning

Jeremy McMahan, Young Wu, Xiaojin Zhu et al.

Optimal Makespan in a Minute Timespan! A Scalable Multi-Robot Goal Assignment Algorithm for Minimizing Mission Time

Aakash, Indranil Saha

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 Sidiropoulos

Optimal Survival Trees: A Dynamic Programming Approach

Tim Huisman, Jacobus van der Linden, Emir Demirović

Optimal Transport with Cyclic Symmetry

Shoichiro Takeda, Yasunori Akagi, Naoki Marumo 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

I. 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

Song Jintao, Wenqi Lu, Yunwen Lei et al.

Optimizing Local Satisfaction of Long-Run Average Objectives in Markov Decision Processes

David Klaska, Antonin Kucera, Vojtěch Kůr et al.

Optimizing the Optimization of Planning Domains by Automatic Action Schema Splitting

Mojtaba Elahi, Jussi Rintanen

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

Other Papers

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.

OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Models

Changhun Lee, Jungyu Jin, Taesu Kim et al.

PA2D-MORL: Pareto Ascent Directional Decomposition Based Multi-Objective Reinforcement Learning

Tianmeng Hu, Biao Luo

PAC-Bayes Generalisation Bounds for Dynamical Systems including Stable RNNs

Deividas Eringis, John Leth, Zheng-Hua Tan et al.

Painterly Image Harmonization by Learning from Painterly Objects

Li Niu, Junyan Cao, Yan Hong et al.

PaintHuman: Towards High-Fidelity Text-to-3D Human Texturing via Denoised Score Distillation

Jianhui Yu, Hao Zhu, Liming Jiang et al.

Pandora’s Problem with Deadlines

Ben Berger, Tomer Ezra, Michal Feldman et al.

Pano-NeRF: Synthesizing High Dynamic Range Novel Views with Geometry from Sparse Low Dynamic Range Panoramic Images

Zhan Lu, Qian Zheng, Boxin Shi et al.

Panoptic Scene Graph Generation with Semantics-Prototype Learning

Li Li, Wei Ji, Yiming Wu et al.

Pantypes: Diverse Representatives for Self-Explainable Models

Rune Kjærsgaard, Ahcène Boubekki, Line Clemmensen

ParaGuide: Guided Diffusion Paraphrasers for Plug-and-Play Textual Style Transfer

Zachary Horvitz, Ajay Patel, Chris Callison-Burch et al.

Parallel Beam Search Algorithms for Domain-Independent Dynamic Programming

Vincent Conitzer, Yueqian Wang, Yuxuan Wang et al.

Parallel Empirical Evaluations: Resilience despite Concurrency

Johannes Fichte, Tobias Geibinger, Markus Hecher et al.

Parallel Ranking of Ads and Creatives in Real-Time Advertising Systems

Zhiguang Yang, Liufang Sang, Haoran Wang et al.

Parallel Vertex Diffusion for Unified Visual Grounding

Authors: Zesen Cheng, Kehan Li, Peng Jin et al.

Parameterization of (Partial) Maximum Satisfiability above Matching in a Variable-Clause Graph

Vasily Alferov, Ivan Bliznets, Kirill Brilliantov

Parameterized Approximation Algorithms for Sum of Radii Clustering and Variants

Xianrun Chen, Dachuan Xu, Yicheng Xu et al.

Parameterized Projected Bellman Operator

Théo Vincent, Alberto Maria Metelli, Boris Belousov et al.

Pareto Front-Diverse Batch Multi-Objective Bayesian Optimization

Alaleh Ahmadianshalchi, Syrine Belakaria, Janardhan Rao Doppa

PARSAC: Accelerating Robust Multi-Model Fitting with Parallel Sample Consensus

Florian Kluger, Bodo Rosenhahn

Parsing All Adverse Scenes: Severity-Aware Semantic Segmentation with Mask-Enhanced Cross-Domain Consistency

Fuhao Li, Ziyang Gong, Yupeng Deng et al.

Partial Label Learning with a Partner

Chongjie Si, Zekun Jiang, Xuehui Wang et al.