| Data-Dependent Generalization Bounds for Parameterized Quantum Models Under Noise | Dec 16, 2024 | Generalization BoundsLearning Theory | —Unverified | 0 |
| An Algorithm-Centered Approach To Model Streaming Data | Dec 12, 2024 | Learning Theorymodel | —Unverified | 0 |
| Of Dice and Games: A Theory of Generalized Boosting | Dec 11, 2024 | Binary ClassificationLearning Theory | —Unverified | 0 |
| Effective Rank and the Staircase Phenomenon: New Insights into Neural Network Training Dynamics | Dec 6, 2024 | Learning Theory | —Unverified | 0 |
| Unified Inductive Logic: From Formal Learning to Statistical Inference to Supervised Learning | Dec 4, 2024 | Learning Theory | —Unverified | 0 |
| NLPrompt: Noise-Label Prompt Learning for Vision-Language Models | Dec 2, 2024 | Learning TheoryLearning with noisy labels | CodeCode Available | 2 |
| Learned Random Label Predictions as a Neural Network Complexity Metric | Nov 29, 2024 | Learning TheoryMemorization | —Unverified | 0 |
| Geometry of fibers of the multiplication map of deep linear neural networks | Nov 29, 2024 | Learning Theory | —Unverified | 0 |
| Incomplete Multi-view Multi-label Classification via a Dual-level Contrastive Learning Framework | Nov 27, 2024 | ClassificationContrastive Learning | —Unverified | 0 |
| Learning Hierarchical Polynomials of Multiple Nonlinear Features with Three-Layer Networks | Nov 26, 2024 | Learning TheoryTransfer Learning | —Unverified | 0 |
