Papers
OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Models
Changhun Lee, Jungyu Jin, Taesu Kim et al.
P2BPO: Permeable Penalty Barrier-Based Policy Optimization for Safe RL
Sumanta Dey, Pallab Dasgupta, Soumyajit Dey
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.
Pairwise-Label-Based Deep Incremental Hashing with Simultaneous Code Expansion
Dayan Wu, Qinghang Su, Bo Li 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
Ryo Kuroiwa, J. Christopher Beck
Parallel Empirical Evaluations: Resilience despite Concurrency
Johannes K. 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
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.
Partially Observable Hierarchical Reinforcement Learning with AI Planning (Student Abstract)
Brandon Rozek, Junkyu Lee, Harsha Kokel et al.
Partial Multi-View Clustering via Self-Supervised Network
Wei Feng, Guoshuai Sheng, Qianqian Wang et al.