| Formal models of memory based on temporally-varying representations | Jan 5, 2022 | Learning Theory | —Unverified | 0 |
| Envisioning Future Deep Learning Theories: Some Basic Concepts and Characteristics | Dec 17, 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 |
| Regularized Modal Regression on Markov-dependent Observations: A Theoretical Assessment | Dec 9, 2021 | Learning Theoryregression | —Unverified | 0 |
| Learning Theory Can (Sometimes) Explain Generalisation in Graph Neural Networks | Dec 7, 2021 | Learning TheoryNode Classification | —Unverified | 0 |
| Intrinisic Gradient Compression for Federated Learning | Dec 5, 2021 | BIG-bench Machine LearningFederated Learning | —Unverified | 0 |
| A Structured Dictionary Perspective on Implicit Neural Representations | Dec 3, 2021 | Dictionary LearningInductive Bias | CodeCode Available | 1 |
| Black-box tests for algorithmic stability | Nov 30, 2021 | Learning Theory | —Unverified | 0 |
| Mesarovician Abstract Learning Systems | Nov 29, 2021 | Learning Theory | —Unverified | 0 |
| Intrinsic Dimension, Persistent Homology and Generalization in Neural Networks | Nov 25, 2021 | Learning TheoryTopological Data Analysis | CodeCode Available | 1 |
