Explainable Link Prediction for Privacy-Preserving Contact Tracing
- Balaji Ganesan
- Hima Patel
- et al.
- 2020
- NeurIPS 2020
Publications
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143 results for Explainable AI
Consumer-Driven Explanations for Machine Learning Decisions: An Empirical Study of Robustness
- Michael Hind
- Dennis Wei
- et al.
- 2020
- ICML 2020
Leveraging Interpretability in the Transformer to Automate the Proactive Scaling of Cloud Resources
- Amadou Ba
- Pavithra Harsha
- et al.
- 2025
- AAAI 2025
Epistemic Bias as a Means for the Automated Detection of Injustices in Text
- Kenya Andrews
- Lamogha Chiazor
- 2025
- AAAI 2025
On the role of noise in factorizers for disentangling distributed representations
- 2024
- NeurIPS 2024
Final-Model-Only Data Attribution with a Unifying View of Gradient-Based Methods
- Dennis Wei
- Inkit Padhi
- et al.
- 2024
- NeurIPS 2024
Data Contamination Report from the 2024 CONDA Shared Task
- Oscar Sainz
- Iker García-ferrero
- et al.
- 2024
- ACL 2024
Facilitating Human-LLM Collaboration through Factuality Scores and Source Attributions
- Hyo Jin Do
- Rachel Ostrand
- et al.
- 2024
- CHI 2024
Empowering Sustainable Finance: Leveraging Large Language Models for Climate-Aware Investments
- 2024
- ICLR 2024
Plan-SOFAI: A Neuro-Symbolic Planning Architecture
- Francesco Fabiano
- Vishal Pallagani
- et al.
- 2024
- AAAI 2024