AAAI Papers

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.

Partial Multi-View Clustering via Self-Supervised Network

Qianqian Wang, Guoshuai Sheng, Quanxue Gao et al.

Participation Incentives in Approval-Based Committee Elections

Martin Bullinger, Chris Dong, Patrick Lederer et al.

Patch-Aware Sample Selection for Efficient Masked Image Modeling

Zhengyang Zhuge, Jiaxing Wang, Yong Li et al.

patchDPCC: A Patchwise Deep Compression Framework for Dynamic Point Clouds

Authors: Zirui Pan, Mengbai Xiao, Xu Han et al.

Patched Line Segment Learning for Vector Road Mapping

Jiakun Xu, Bowen Xu, Gui-Song Xia et al.

Patch-Wise Graph Contrastive Learning for Image Translation

Chanyong Jung, Gihyun Kwon, Jong Chul Ye

PathAsst: A Generative Foundation AI Assistant towards Artificial General Intelligence of Pathology

Yuxuan Sun, Chenglu Zhu, Sunyi Zheng et al.

Paths, Proofs, and Perfection: Developing a Human-Interpretable Proof System for Constrained Shortest Paths

Konstantin Sidorov, Gonçalo Homem de Almeida Correia, Mathijs de Weerdt et al.

Pay Attention to Target: Relation-Aware Temporal Consistency for Domain Adaptive Video Semantic Segmentation

Huayu Mai, Rui Sun, Yuan Wang et al.

Pay to (Not) Play: Monetizing Impatience in Mobile Games

Taylor Lundy, Narun Raman, Hu Fu et al.

PC-Conv: Unifying Homophily and Heterophily with Two-Fold Filtering

Bingheng Li, Erlin Pan, Zhao Kang

PCE-Palm: Palm Crease Energy Based Two-Stage Realistic Pseudo-Palmprint Generation

Lei Shen, Jianlong Jin, Ruixin Zhang et al.

PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion

Yige Yuan, Bingbing Xu, Bo Lin et al.

Pedro Zuidberg Dos Martires

Peer Learning: Learning Complex Policies in Groups from Scratch via Action Recommendations

Cedric Derstroff, Jannis Brugger, Mattia Cerrato et al.

Peer Neighborhood Mechanisms: A Framework for Mechanism Generalization

Adam Richardson, Boi Faltings

Percentile Risk-Constrained Budget Pacing for Guaranteed Display Advertising in Online Optimization

Liang Dai, Kejie Lyu, Chengcheng Zhang et al.

PerFedRLNAS: One-for-All Personalized Federated Neural Architecture Search

Dixi Yao, Baochun Li

Performative Federated Learning: A Solution to Model-Dependent and Heterogeneous Distribution Shifts

Kun Jin, Tongxin Yin, Zhongzhu Chen et al.

Permutation-Based Hypothesis Testing for Neural Networks

Francesca Mandel, Ian Barnett

Personalized LoRA for Human-Centered Text Understanding

You Zhang, Jin Wang, Liang-Chih Yu et al.

Personalized Reinforcement Learning with a Budget of Policies

Dmitry Ivanov, Omer Ben-Porat

Perturbation-Invariant Adversarial Training for Neural Ranking Models: Improving the Effectiveness-Robustness Trade-Off

Yuansan Liu, Ruqing Zhang, Mingkun Zhang et al.

PG-LBO: Enhancing High-Dimensional Bayesian Optimization with Pseudo-Label and Gaussian Process Guidance

Taicai Chen, Yue Duan, Dong Li et al.

PHFormer: Multi-Fragment Assembly Using Proxy-Level Hybrid Transformer

Phoneme Hallucinator: One-Shot Voice Conversion via Set Expansion

Siyuan Shan, Yang Li, Amartya Banerjee et al.

PICNN: A Pathway towards Interpretable Convolutional Neural Networks

Wengang Guo, Jiayi Yang, HuiLin YIN et al.

Piecewise Linear Transformation – Propagating Aleatoric Uncertainty in Neural Networks

Thomas Krapf, Michael Hagn, Paul Miethaner et al.

p-Laplacian Adaptation for Generative Pre-trained Vision-Language Models

Haoyuan Wu, Xinyun Zhang, Peng Xu et al.