| Less is More: On the Feature Redundancy of Pretrained Models When Transferring to Few-shot Tasks | Oct 5, 2023 | Feature Importance | —Unverified | 0 | 0 |
| LEURN: Learning Explainable Univariate Rules with Neural Networks | Mar 27, 2023 | Feature ImportanceSemantic Similarity | —Unverified | 0 | 0 |
| Leveraging Black-box Models to Assess Feature Importance in Unconditional Distribution | Dec 7, 2024 | Feature Importance | —Unverified | 0 | 0 |
| Leveraging Explainable AI for LLM Text Attribution: Differentiating Human-Written and Multiple LLMs-Generated Text | Jan 6, 2025 | Binary ClassificationExplainable artificial intelligence | —Unverified | 0 | 0 |
| Leveraging Interpretability in the Transformer to Automate the Proactive Scaling of Cloud Resources | Sep 4, 2024 | Feature Importance | —Unverified | 0 | 0 |
| Lexicon Creation for Interpretable NLP Models | Oct 16, 2021 | Feature Importance | —Unverified | 0 | 0 |
| Likely to stop? Predicting Stopout in Massive Open Online Courses | Aug 14, 2014 | Feature ImportancePrediction | —Unverified | 0 | 0 |
| Linear Video Transformer with Feature Fixation | Oct 15, 2022 | Feature ImportanceVideo Classification | —Unverified | 0 | 0 |
| LIPEx-Locally Interpretable Probabilistic Explanations-To Look Beyond The True Class | Oct 7, 2023 | Feature Importance | —Unverified | 0 | 0 |
| Local vs. Global interpretations for NLP | Oct 15, 2020 | Feature Importancetext-classification | —Unverified | 0 | 0 |
