| Probing artificial neural networks: insights from neuroscience | Apr 16, 2021 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| Problem-fluent models for complex decision-making in autonomous materials research | Mar 13, 2021 | BIG-bench Machine LearningDecision Making | —Unverified | 0 | 0 |
| Increasing Generality in Machine Learning through Procedural Content Generation | Nov 29, 2019 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| Procedural Content Generation via Machine Learning (PCGML) | Feb 2, 2017 | BIG-bench Machine LearningCard Games | —Unverified | 0 | 0 |
| Procedural Kernel Networks | Dec 17, 2021 | BIG-bench Machine LearningDemosaicking | —Unverified | 0 | 0 |
| Procedural urban environments for FPS games | Apr 20, 2016 | BIG-bench Machine LearningFPS Games | —Unverified | 0 | 0 |
| Proceedings of NeurIPS 2018 Workshop on Machine Learning for the Developing World: Achieving Sustainable Impact | Dec 21, 2018 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| Proceedings of NIPS 2016 Workshop on Interpretable Machine Learning for Complex Systems | Nov 28, 2016 | BIG-bench Machine LearningInterpretable Machine Learning | —Unverified | 0 | 0 |
| Proceedings of NIPS 2017 Symposium on Interpretable Machine Learning | Nov 27, 2017 | BIG-bench Machine LearningInterpretable Machine Learning | —Unverified | 0 | 0 |
| Proceedings of NIPS 2017 Workshop on Machine Learning for the Developing World | Nov 27, 2017 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| Proceedings of Symposium on Data Mining Applications 2014 | Jan 29, 2020 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| Proceedings of the 2016 ICML Workshop on Human Interpretability in Machine Learning (WHI 2016) | Jul 8, 2016 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| Proceedings of the 2016 ICML Workshop on #Data4Good: Machine Learning in Social Good Applications | Jul 8, 2016 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| Proceedings of the 2017 ICML Workshop on Human Interpretability in Machine Learning (WHI 2017) | Aug 8, 2017 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| Proceedings of the 2018 ICML Workshop on Human Interpretability in Machine Learning (WHI 2018) | Jul 3, 2018 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| Proceedings of the 5th Workshop on Machine Learning and Interpretation in Neuroimaging (MLINI) at NIPS 2015 | May 14, 2016 | BIG-bench Machine LearningPrognosis | —Unverified | 0 | 0 |
| Proceedings of the Artificial Intelligence for Cyber Security (AICS) Workshop 2020 | Feb 7, 2020 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| Proceedings of the NeurIPS 2020 Workshop on Machine Learning for the Developing World: Improving Resilience | Jan 12, 2021 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| Proceedings of the Workshop on Data Mining for Oil and Gas | May 9, 2017 | BIG-bench Machine LearningDecision Making | —Unverified | 0 | 0 |
| Processing the structure of documents: Logical Layout Analysis of historical newspapers in French | Feb 16, 2022 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| ProcK: Machine Learning for Knowledge-Intensive Processes | Sep 10, 2021 | AttributeBIG-bench Machine Learning | —Unverified | 0 | 0 |
| Production Machine Learning Pipelines: Empirical Analysis and Optimization Opportunities | Mar 30, 2021 | BIG-bench Machine LearningManagement | —Unverified | 0 | 0 |
| Product Progression: a machine learning approach to forecasting industrial upgrading | May 31, 2021 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| Profiling Italian Misogynist: An Empirical Study | May 1, 2020 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| Prognosis Prediction in Covid-19 Patients from Lab Tests and X-ray Data through Randomized Decision Trees | Oct 9, 2020 | BIG-bench Machine LearningPrognosis | —Unverified | 0 | 0 |
| Program Targeting with Machine Learning and Mobile Phone Data: Evidence from an Anti-Poverty Intervention in Afghanistan | Jun 22, 2022 | BIG-bench Machine LearningSurvey | —Unverified | 0 | 0 |
| Progressively Growing Generative Adversarial Networks for High Resolution Semantic Segmentation of Satellite Images | Feb 12, 2019 | BIG-bench Machine LearningGeneral Classification | —Unverified | 0 | 0 |
| Progressive Sampling-Based Bayesian Optimization for Efficient and Automatic Machine Learning Model Selection | Dec 6, 2018 | Automatic Machine Learning Model SelectionBayesian Optimization | —Unverified | 0 | 0 |
| Projected Regression Methods for Inverting Fredholm Integrals: Formalism and Application to Analytical Continuation | Dec 15, 2016 | BIG-bench Machine Learningregression | —Unverified | 0 | 0 |
| Projected Semi-Stochastic Gradient Descent Method with Mini-Batch Scheme under Weak Strong Convexity Assumption | Dec 16, 2016 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| Project MAIA: Multilingual AI Agent Assistant | Nov 1, 2020 | AI AgentBIG-bench Machine Learning | —Unverified | 0 | 0 |
| Promises and Challenges of Causality for Ethical Machine Learning | Jan 26, 2022 | BIG-bench Machine LearningCausal Inference | —Unverified | 0 | 0 |
| PROMISSING: Pruning Missing Values in Neural Networks | Jun 3, 2022 | BIG-bench Machine LearningImputation | —Unverified | 0 | 0 |
| Proof of Learning (PoLe): Empowering Machine Learning with Consensus Building on Blockchains | Jul 29, 2020 | BIG-bench Machine Learningvalid | —Unverified | 0 | 0 |
| Propheticus: Generalizable Machine Learning Framework | Sep 6, 2018 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| Proportional Allocation: Simple, Distributed, and Diverse Matching with High Entropy | Jul 1, 2018 | BIG-bench Machine LearningDiversity | —Unverified | 0 | 0 |
| Proposal and Verification of Novel Machine Learning on Classification Problems | Jun 23, 2022 | BIG-bench Machine LearningClassification | —Unverified | 0 | 0 |
| Proposing an Interactive Audit Pipeline for Visual Privacy Research | Nov 7, 2021 | BIG-bench Machine LearningDecision Making | —Unverified | 0 | 0 |
| Prospects and challenges of quantum finance | Nov 12, 2020 | BIG-bench Machine LearningPortfolio Optimization | —Unverified | 0 | 0 |
| Prospects for Analog Circuits in Deep Networks | Jun 23, 2021 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| Prostate Cancer Diagnosis using Deep Learning with 3D Multiparametric MRI | Mar 12, 2017 | BIG-bench Machine LearningData Augmentation | —Unverified | 0 | 0 |
| Protein Classification using Machine Learning and Statistical Techniques: A Comparative Analysis | Jan 18, 2019 | BIG-bench Machine LearningClassification | —Unverified | 0 | 0 |
| Protein sequence design with deep generative models | Apr 9, 2021 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| Provable Gaussian Embedding with One Observation | Oct 25, 2018 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| Trade-offs between membership privacy & adversarially robust learning | Jun 8, 2020 | BIG-bench Machine LearningFairness | —Unverified | 0 | 0 |
| Provenance Data in the Machine Learning Lifecycle in Computational Science and Engineering | Oct 9, 2019 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| PROVEN: Certifying Robustness of Neural Networks with a Probabilistic Approach | Dec 18, 2018 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| Providing Assurance and Scrutability on Shared Data and Machine Learning Models with Verifiable Credentials | May 13, 2021 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| Proving Data-Poisoning Robustness in Decision Trees | Dec 2, 2019 | BIG-bench Machine LearningData Poisoning | —Unverified | 0 | 0 |
| Proximal Algorithms in Statistics and Machine Learning | Feb 11, 2015 | BIG-bench Machine Learningregression | —Unverified | 0 | 0 |