AAAI Papers

One Step Closer to Unbiased Aleatoric Uncertainty Estimation

Wang Zhang, Ziwen Martin Ma, Subhro Das et al.

One-Step Forward and Backtrack: Overcoming Zig-Zagging in Loss-Aware Quantization Training

Lianbo Ma, Yuee Zhou, Jianlun Ma et al.

One Step Learning, One Step Review

Huang Xiaolong, Qiankun Li, Xueran Li et al.

On Estimating the Gradient of the Expected Information Gain in Bayesian Experimental Design

Ziqiao Ao, Jinglai Li

On Inference Stability for Diffusion Models

Viet Nguyen, Giang Vu, Tung Nguyen Thanh et al.

Online Boosting Adaptive Learning under Concept Drift for Multistream Classification

En Yu, Jie Lu, Bin Zhang et al.

Online Conversion Rate Prediction via Multi-Interval Screening and Synthesizing under Delayed Feedback

Qiming Liu, Xiang Ao, Yuyao Guo et al.

Online Markov Decision Processes Configuration with Continuous Decision Space

Davide Maran, Pierriccardo Olivieri, Francesco Emanuele Stradi et al.

Online Restless Multi-Armed Bandits with Long-Term Fairness Constraints

Shufan Wang, Guojun Xiong, Jian Li

Online Sensitivity Optimization in Differentially Private Learning

8623 Filippo Galli, Catuscia Palamidessi, Tommaso Cucinotta

Online Submodular Maximization via Online Convex Optimization

Tareq Si Salem, Gözde Özcan, Iasonas Nikolaou et al.

On Partial Optimal Transport: Revising the Infeasibility of Sinkhorn and Efficient Gradient Methods

Anh Duc Nguyen, Tuan Dung Nguyen, Quang Nguyen et al.

On the Affinity, Rationality, and Diversity of Hierarchical Topic Modeling

Xiaobao Wu, Fengjun Pan, Thong Nguyen et al.

On the Computational Complexity of Plan Verification, (Bounded) Plan-Optimality Verification, and Bounded Plan Existence

Songtuan Lin, Conny Olz, Malte Helmert et al.

On the Convergence of an Adaptive Momentum Method for Adversarial Attacks

Sheng Long, Wei Tao, Shuohao LI et al.

On the Expressivity of Recurrent Neural Cascades

Nadezda Knorozova, Alessandro Ronca

On the Outcome Equivalence of Extensive-Form and Behavioral Correlated Equilibria

Brian Zhang, Tuomas Sandholm

On the Robustness of Neural-Enhanced Video Streaming against Adversarial Attacks

Qihua Zhou, Jingcai Guo, Song Guo et al.

On the Role of Server Momentum in Federated Learning

Jianhui Sun, Xidong Wu, Heng Huang et al.

On the Structural Hardness of Answer Set Programming: Can Structure Efficiently Confine the Power of Disjunctions?

Markus Hecher, Rafael Kiesel

On the Unstable Convergence Regime of Gradient Descent

Shuo Chen, Jiaying Peng, Xiaolong Li et al.

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.