| A PAC-Bayesian Generalization Bound for Equivariant Networks | Oct 24, 2022 | Generalization BoundsInductive Bias | —Unverified | 0 | 0 |
| Application of Structured State Space Models to High energy physics with locality-sensitive hashing | Jan 27, 2025 | Inductive BiasMamba | —Unverified | 0 | 0 |
| Applying Plain Transformers to Real-World Point Clouds | Feb 28, 2023 | Inductive Biasobject-detection | —Unverified | 0 | 0 |
| Applying statistical learning theory to deep learning | Nov 26, 2023 | Deep LearningInductive Bias | —Unverified | 0 | 0 |
| Approximately Equivariant Quantum Neural Network for p4m Group Symmetries in Images | Oct 3, 2023 | image-classificationImage Classification | —Unverified | 0 | 0 |
| A Principled Permutation Invariant Approach to Mean-Field Multi-Agent Reinforcement Learning | Sep 29, 2021 | Inductive BiasMulti-agent Reinforcement Learning | —Unverified | 0 | 0 |
| A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesis | Jul 24, 2023 | Code GenerationDenoising | —Unverified | 0 | 0 |
| A Recent Survey of Vision Transformers for Medical Image Segmentation | Dec 1, 2023 | Image SegmentationInductive Bias | —Unverified | 0 | 0 |
| A Recursively Recurrent Neural Network (R2N2) Architecture for Learning Iterative Algorithms | Nov 22, 2022 | Inductive BiasMeta-Learning | —Unverified | 0 | 0 |
| A Relational Inductive Bias for Dimensional Abstraction in Neural Networks | Feb 28, 2024 | Inductive Bias | —Unverified | 0 | 0 |
