Papers
8,340 papers found
Performative Recommendation: Diversifying Content via Strategic Incentives
Itay Eilat, Nir Rosenfeld
Performative Reinforcement Learning
Debmalya Mandal, Stelios Triantafyllou, Goran Radanovic
Personalized Federated Learning under Mixture of Distributions
Yue Wu, Shuaicheng Zhang, Wenchao Yu et al.
Personalized Federated Learning with Inferred Collaboration Graphs
Rui Ye, Zhenyang Ni, Fangzhao Wu et al.
Personalized Subgraph Federated Learning
Jinheon Baek, Wonyong Jeong, Jiongdao Jin et al.
Perturbation Analysis of Neural Collapse
Tom Tirer, Haoxiang Huang, Jonathan Niles-Weed
PFGM++: Unlocking the Potential of Physics-Inspired Generative Models
Yilun Xu, Ziming Liu, Yonglong Tian et al.
PFNs4BO: In-Context Learning for Bayesian Optimization
Samuel Müller, Matthias Feurer, Noah Hollmann et al.
Phase-aware Adversarial Defense for Improving Adversarial Robustness
Dawei Zhou, Nannan Wang, Heng Yang et al.
Phase Transitions in the Detection of Correlated Databases
Dor Elimelech, Wasim Huleihel
PINA: Leveraging Side Information in eXtreme Multi-label Classification via Predicted Instance Neighborhood Aggregation
Eli Chien, Jiong Zhang, Cho-Jui Hsieh et al.
Pix2Struct: Screenshot Parsing as Pretraining for Visual Language Understanding
Kenton Lee, Mandar Joshi, Iulia Raluca Turc et al.
PixelAsParam: A Gradient View on Diffusion Sampling with Guidance
Anh-Dung Dinh, Daochang Liu, Chang Xu
PLay: Parametrically Conditioned Layout Generation using Latent Diffusion
Chin-Yi Cheng, Forrest Huang, Gang Li et al.
Poisoning Generative Replay in Continual Learning to Promote Forgetting
Siteng Kang, Zhan Shi, Xinhua Zhang
Poisoning Language Models During Instruction Tuning
Alexander Wan, Eric Wallace, Sheng Shen et al.
Polarity Is All You Need to Learn and Transfer Faster
Qingyang Wang, Michael Alan Powell, Eric W Bridgeford et al.
Policy Contrastive Imitation Learning
Jialei Huang, Zhao-Heng Yin, Yingdong Hu et al.
Policy Gradient in Robust MDPs with Global Convergence Guarantee
Qiuhao Wang, Chin Pang Ho, Marek Petrik
Policy Mirror Ascent for Efficient and Independent Learning in Mean Field Games
Batuhan Yardim, Semih Cayci, Matthieu Geist et al.
Policy Regularization with Dataset Constraint for Offline Reinforcement Learning
Yuhang Ran, Yi-Chen Li, Fuxiang Zhang et al.
Polynomial Preconditioning for Gradient Methods
Nikita Doikov, Anton Rodomanov
Polynomial Time and Private Learning of Unbounded Gaussian Mixture Models
Jamil Arbas, Hassan Ashtiani, Christopher Liaw
Posterior Sampling for Deep Reinforcement Learning
Remo Sasso, Michelangelo Conserva, Paulo Rauber