Papers
Perceptual Attacks of No-Reference Image Quality Models with Human-in-the-Loop
Weixia Zhang, Dingquan Li, Xiongkuo Min et al.
PeRFception: Perception using Radiance Fields
Yoonwoo Jeong, Seungjoo Shin, Junha Lee et al.
PerfectDou: Dominating DouDizhu with Perfect Information Distillation
Guan Yang, Minghuan Liu, Weijun Hong et al.
Perfect Sampling from Pairwise Comparisons
Dimitris Fotakis, Alkis Kalavasis, Christos Tzamos
Performative Power
Moritz Hardt, Meena Jagadeesan, Celestine Mendler-Dünner
Periodic Graph Transformers for Crystal Material Property Prediction
Keqiang Yan, Yi Liu, Yuchao Lin et al.
Peripheral Vision Transformer
Juhong Min, Yucheng Zhao, Chong Luo et al.
Personalized Federated Learning towards Communication Efficiency, Robustness and Fairness
Shiyun Lin, Yuze Han, Xiang Li et al.
Personalized Online Federated Learning with Multiple Kernels
Pouya M. Ghari, Yanning Shen
Perturbation Learning Based Anomaly Detection
Jinyu Cai, Jicong Fan
Pessimism for Offline Linear Contextual Bandits using $\ell_p$ Confidence Sets
Gene Li, Cong Ma, Nati Srebro
pFL-Bench: A Comprehensive Benchmark for Personalized Federated Learning
Daoyuan Chen, Dawei Gao, Weirui Kuang et al.
Phase diagram of Stochastic Gradient Descent in high-dimensional two-layer neural networks
Rodrigo Veiga, Ludovic Stephan, Bruno Loureiro et al.
Phase Transition from Clean Training to Adversarial Training
Yue Xing, Qifan Song, Guang Cheng
Phase transitions in when feedback is useful
Lokesh Boominathan, Xaq Pitkow
Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding
Chitwan Saharia, William Chan, Saurabh Saxena et al.
PhysGNN: A Physics--Driven Graph Neural Network Based Model for Predicting Soft Tissue Deformation in Image--Guided Neurosurgery
Yasmin Salehi, Dennis Giannacopoulos
Physically-Based Face Rendering for NIR-VIS Face Recognition
Yunqi Miao, Alexandros Lattas, Jiankang Deng et al.
Physics-Embedded Neural Networks: Graph Neural PDE Solvers with Mixed Boundary Conditions
Masanobu Horie, NAOTO MITSUME
Physics-Informed Implicit Representations of Equilibrium Network Flows
Kevin D. Smith, Francesco Seccamonte, Ananthram Swami et al.
Picking on the Same Person: Does Algorithmic Monoculture lead to Outcome Homogenization?
Rishi Bommasani, Kathleen A. Creel, Ananya Kumar et al.
Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal Dataset
Peter Henderson, Mark Krass, Lucia Zheng et al.
Pitfalls of Epistemic Uncertainty Quantification through Loss Minimisation
Viktor Bengs, Eyke Hüllermeier, Willem Waegeman
PKD: General Distillation Framework for Object Detectors via Pearson Correlation Coefficient
Weihan Cao, Yifan Zhang, Jianfei Gao et al.
Planning for Sample Efficient Imitation Learning
Zhao-Heng Yin, Weirui Ye, Qifeng Chen et al.