| A deep learning theory for neural networks grounded in physics | Mar 18, 2021 | Deep LearningLearning Theory | —Unverified | 0 |
| A cognitively driven weighted-entropy model for embedding semantic categories in hyperbolic geometry | Dec 13, 2021 | Language AcquisitionLearning Theory | —Unverified | 0 |
| A deep deformable residual learning network for SAR images segmentation | Aug 15, 2023 | Learning TheorySegmentation | —Unverified | 0 |
| A Mathematical Theory of Learning | May 7, 2014 | ClusteringLearning Theory | —Unverified | 0 |
| Adaptive time series forecasting with markovian variance switching | Feb 22, 2024 | Learning TheoryLoad Forecasting | —Unverified | 0 |
| A Closer Look at the Learnability of Out-of-Distribution (OOD) Detection | Jan 15, 2025 | Learning TheoryOut of Distribution (OOD) Detection | —Unverified | 0 |
| 1-bit Matrix Completion: PAC-Bayesian Analysis of a Variational Approximation | Apr 14, 2016 | Collaborative FilteringLearning Theory | —Unverified | 0 |
| A Model of Selective Advantage for the Efficient Inference of Cancer Clonal Evolution | Feb 15, 2016 | Learning Theory | —Unverified | 0 |
| A Moment-Matching Approach to Testable Learning and a New Characterization of Rademacher Complexity | Nov 23, 2022 | Learning Theory | —Unverified | 0 |
| 10 Years of Fair Representations: Challenges and Opportunities | Jul 4, 2024 | Aspect Sentiment Triplet ExtractionAutoML | —Unverified | 0 |