Call for Papers
| Submission Deadline | |
| Author notification | April 14, 2023 Anywhere on Earth (AoE) |
| Camera ready deadline | April 21, 2023 Anywhere on Earth (AoE) |
| Submission server | https://openreview.net/group?id=ICLR.cc/2023/Workshop/RTML |
| Submission format | Submissions need to be anonymized, and use the latex template here, modified from the template for ICLR conference papers. Submissions should include at most 4 pages, excluding the references and appendices. |
We invite submissions on any aspect of trustworthy and reliable ML, especially for large-scale models. Topics include but are not limited to:
- Novel methods for building more trustworthy large-scale machine learning models that prevent or alleviate negative societal impacts of existing ML methods
- New applications and settings where the robustness and trustworthiness of machine learning play an important role and how well existing techniques work under these settings
- Machine learning models with verifiable guarantees (such as robustness, fairness, and privacy guarantees) to build trustworthiness
- Privacy-preserving machine learning approaches for large-scale machine learning models
- Theoretical understanding of trustworthy machine learning
- Explainable and interpretable methods for large-scale AI
- Pre-training techniques to build more robust and trustworthy large-scale machine learning models
- Efficient fine-tuning methods to alleviate the trustworthiness gap for large-scale pre-trained models
- Machine unlearning to mitigate the privacy, toxicity, and bias issues within large-scale AI models
- Robust decision-making under uncertainty
- Futuristic concerns about trustworthy machine learning for foundation models
- Game-theoretic analysis for socially responsible machine learning systems
- Case studies and field research of the societal impacts of applying machine learning in mission-critical and human-centric tasks
We only consider submissions that haven’t been published in any peer-reviewed venue, including ICLR 2023 conference. The workshop is non-archival and will not have any official proceedings. Based on the PC’s recommendation, the accepted papers will be allocated either a contributed talk or a poster presentation.
We offer a Best Paper Award ($1,000), a Best Paper Honorable Mention Award ($500), and several travel grants (complimentary ICLR conference registrations).