- SubSetML: Subset Selection in Machine Learning: From Theory to Practice, ICML
- Machine Learning for Data (ML4Data), ICML
- Self-Supervised Learning for Reasoning and Perception, ICML
- Uncertainty & Robustness in Deep Learning (UDL), ICML
- From Shallow to Deep: Overcoming Limited and Adverse Data (S2D-OLAD), ICLR
- Weakly Supervised Learning (WeaSuL), ICLR
- Synthetic Data Generation, ICLR
- Self-Supervised Learning for Reasoning and Perception, ICLR
- Workshop on Data Management for End-to-end Machine Learning, VLDB
- Workshop on Human-In-the-Loop Data Analytics, SIGMOD
- The Art of Learning with Missing Values, ICML
- Self-Supervision in Audio and Speech, ICML
- Challenges in Deploying and Monitoring Machine Learning Systems, ICML
- Workshop on Dataset Curation and Security, NeurIPs
- Workshop on MLOps Systems, MLSys
- Workshop on Data Management for End-to-end Machine Learning, VLDB
- Workshop on Human-In-the-Loop Data Analytics, SIGMOD
- Evaluating Evaluation of AI Systems, AAAI
- Data Excellence Workshop, HCOMP
- Workshop on Rigorous Evaluation of AI Systems, HCOMP