Papers
Privately Learning Mixtures of Axis-Aligned Gaussians
Ishaq Aden-Ali, Hassan Ashtiani, Christopher Liaw
Privately Learning Subspaces
Vikrant Singhal, Thomas Steinke
Privately Publishable Per-instance Privacy
Rachel Redberg, Yu-Xiang Wang
Private Non-smooth ERM and SCO in Subquadratic Steps
Janardhan Kulkarni, Yin Tat Lee, Daogao Liu
Probabilistic Attention for Interactive Segmentation
Prasad Gabbur, Manjot Bilkhu, Javier R. Movellan
Probabilistic Entity Representation Model for Reasoning over Knowledge Graphs
Nurendra Choudhary, Nikhil Rao, Sumeet Katariya et al.
Probabilistic Forecasting: A Level-Set Approach
Hilaf Hasson, Bernie Wang, Tim Januschowski et al.
Probabilistic Margins for Instance Reweighting in Adversarial Training
qizhou wang, Feng Liu, Bo Han et al.
Probabilistic Tensor Decomposition of Neural Population Spiking Activity
Hugo Soulat, Sepiedeh Keshavarzi, Troy Margrie et al.
Probabilistic Transformer For Time Series Analysis
Binh Tang, David S Matteson
Probability Paths and the Structure of Predictions over Time
Zhiyuan Jerry Lin, Hao Sheng, Sharad Goel
Probing Inter-modality: Visual Parsing with Self-Attention for Vision-and-Language Pre-training
Hongwei Xue, Yupan Huang, Bei Liu et al.
Process for Adapting Language Models to Society (PALMS) with Values-Targeted Datasets
Irene Solaiman, Christy Dennison
Profiling Pareto Front With Multi-Objective Stein Variational Gradient Descent
Xingchao Liu, Xin Tong, Qiang Liu
Program Synthesis Guided Reinforcement Learning for Partially Observed Environments
Yichen Yang, Jeevana Priya Inala, Osbert Bastani et al.
Progressive Coordinate Transforms for Monocular 3D Object Detection
Li Wang, Li Zhang, Yi Zhu et al.
Progressive Feature Interaction Search for Deep Sparse Network
Chen Gao, Yinfeng Li, Quanming Yao et al.
Projected GANs Converge Faster
Axel Sauer, Kashyap Chitta, Jens Müller et al.
Property-Aware Relation Networks for Few-Shot Molecular Property Prediction
Yaqing Wang, Abulikemu Abuduweili, Quanming Yao et al.
Proper Value Equivalence
Christopher Grimm, Andre Barreto, Greg Farquhar et al.
Proportional Participatory Budgeting with Additive Utilities
Dominik Peters, Grzegorz Pierczyński, Piotr Skowron
ProTo: Program-Guided Transformer for Program-Guided Tasks
Zelin Zhao, Karan Samel, Binghong Chen et al.
Prototypical Cross-Attention Networks for Multiple Object Tracking and Segmentation
Lei Ke, Xia Li, Martin Danelljan et al.
Provable Benefits of Actor-Critic Methods for Offline Reinforcement Learning
Andrea Zanette, Martin J Wainwright, Emma Brunskill
Provable Guarantees for Self-Supervised Deep Learning with Spectral Contrastive Loss
Jeff Z. HaoChen, Colin Wei, Adrien Gaidon et al.