Papers
Proper Scoring Rules for Survival Analysis
Hiroki Yanagisawa
Properties of the Mallows Model Depending on the Number of Alternatives: A Warning for an Experimentalist
Niclas Boehmer, Piotr Faliszewski, Sonja Kraiczy
Protecting Language Generation Models via Invisible Watermarking
Xuandong Zhao, Yu-Xiang Wang, Lei Li
Prototype-oriented unsupervised anomaly detection for multivariate time series
Yuxin Li, Wenchao Chen, Bo Chen et al.
Prototype-Sample Relation Distillation: Towards Replay-Free Continual Learning
Nader Asadi, Mohammadreza Davari, Sudhir Mudur et al.
ProtST: Multi-Modality Learning of Protein Sequences and Biomedical Texts
Minghao Xu, Xinyu Yuan, Santiago Miret et al.
Provable Benefit of Mixup for Finding Optimal Decision Boundaries
Junsoo Oh, Chulhee Yun
Provable Data Subset Selection For Efficient Neural Networks Training
Murad Tukan, Samson Zhou, Alaa Maalouf et al.
Provable Dynamic Fusion for Low-Quality Multimodal Data
Qingyang Zhang, Haitao Wu, Changqing Zhang et al.
Provable Multi-instance Deep AUC Maximization with Stochastic Pooling
Dixian Zhu, Bokun Wang, Zhi Chen et al.
Provable Reset-free Reinforcement Learning by No-Regret Reduction
Hoai-An Nguyen, Ching-An Cheng
Provably Convergent Schrödinger Bridge with Applications to Probabilistic Time Series Imputation
Yu Chen, Wei Deng, Shikai Fang et al.
Provably Efficient Offline Reinforcement Learning with Perturbed Data Sources
Chengshuai Shi, Wei Xiong, Cong Shen et al.
Provably Efficient Representation Learning with Tractable Planning in Low-Rank POMDP
Jiacheng Guo, Zihao Li, Huazheng Wang et al.
Provably Invariant Learning without Domain Information
Xiaoyu Tan, Lin Yong, Shengyu Zhu et al.
Provably Learning Diverse Features in Multi-View Data with Midpoint Mixup
Muthu Chidambaram, Xiang Wang, Chenwei Wu et al.
Provably Learning Object-Centric Representations
Jack Brady, Roland S. Zimmermann, Yash Sharma et al.
Proximal Causal Learning of Conditional Average Treatment Effects
Erik Sverdrup, Yifan Cui
Pruning via Sparsity-indexed ODE: a Continuous Sparsity Viewpoint
Zhanfeng Mo, Haosen Shi, Sinno Jialin Pan
PWSHAP: A Path-Wise Explanation Model for Targeted Variables
Lucile Ter-Minassian, Oscar Clivio, Karla Diazordaz et al.
Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling
Stella Biderman, Hailey Schoelkopf, Quentin Gregory Anthony et al.
QASA: Advanced Question Answering on Scientific Articles
Yoonjoo Lee, Kyungjae Lee, Sunghyun Park et al.
QAS-Bench: Rethinking Quantum Architecture Search and A Benchmark
Xudong Lu, Kaisen Pan, Ge Yan et al.
Q-Flow: Generative Modeling for Differential Equations of Open Quantum Dynamics with Normalizing Flows
Owen M Dugan, Peter Y. Lu, Rumen Dangovski et al.