| BOOM: Benchmarking Out-Of-distribution Molecular Property Predictions of Machine Learning Models | May 3, 2025 | BenchmarkingHyperparameter Optimization | —Unverified | 0 | 0 |
| Boosting Image Recognition with Non-differentiable Constraints | Oct 2, 2019 | BlockingInductive Bias | —Unverified | 0 | 0 |
| Boosting Sample Efficiency and Generalization in Multi-agent Reinforcement Learning via Equivariance | Oct 3, 2024 | Inductive BiasMulti-agent Reinforcement Learning | —Unverified | 0 | 0 |
| Boosting the Capabilities of Compact Models in Low-Data Contexts with Large Language Models and Retrieval-Augmented Generation | Oct 1, 2024 | DescriptiveInductive Bias | —Unverified | 0 | 0 |
| Brain insights improve RNNs' accuracy and robustness for hierarchical control of continually learned autonomous motor motifs | Sep 29, 2021 | Continual LearningInductive Bias | —Unverified | 0 | 0 |
| Towards Better Understanding of Disentangled Representations via Mutual Information | Nov 25, 2019 | DisentanglementInductive Bias | —Unverified | 0 | 0 |
| Spectal Harmonics: Bridging Spectral Embedding and Matrix Completion in Self-Supervised Learning | May 31, 2023 | Inductive BiasLow-Rank Matrix Completion | —Unverified | 0 | 0 |
| Building Hybrid B-Spline And Neural Network Operators | Jun 6, 2024 | Inductive Bias | —Unverified | 0 | 0 |
| Bundle Neural Networks for message diffusion on graphs | May 24, 2024 | Inductive Bias | —Unverified | 0 | 0 |
| Can Large Language Models Adapt to Other Agents In-Context? | Dec 27, 2024 | Inductive Bias | —Unverified | 0 | 0 |
