Learning to rank learning curves
- Martin Wistuba
- Tejaswini Pedapati
- 2020
- ICML 2020
Conference paper
Publications
35 results at ICML 2020
Learning task-agnostic embedding of multiple black-box experts for multi-task model fusion
- Trong Nghia Hoang
- Chi Thanh Lam
- et al.
- 2020
- ICML 2020
Conference paperTransfer learning without knowing: Reprogramming black-box machine learning models with scarce data and limited resources
- Yun Yun Tsai
- Pin-Yu Chen
- et al.
- 2020
- ICML 2020
Conference paperInvariant rationalization
- Shiyu Chang
- Yang Zhang
- et al.
- 2020
- ICML 2020
Conference paperConsumer-Driven Explanations for Machine Learning Decisions: An Empirical Study of Robustness
- Michael Hind
- Dennis Wei
- et al.
- 2020
- ICML 2020
Workshop paperMining Documentation to Extract Hyperparameter Schemas
- Guillaume Baudart
- Peter D. Kirchner
- et al.
- 2020
- ICML 2020
Workshop paperChi-square Information for Invariant Learning
- Prasanna Sattigeri
- Soumya Ghosh
- et al.
- 2020
- ICML 2020
Workshop paperDo You Sign Your Model?
- Omid Aramoon
- Pin-Yu Chen
- et al.
- 2020
- ICML 2020
Workshop paperPrediction of neonatal mortality in Sub-Saharan African countries using data-level linkage of multiple surveys
- Girmaw Abebe Tadesse
- Celia Cintas
- et al.
- 2020
- ICML 2020
Workshop paperNot Your Grandfather’s Test Set: Reducing Labeling Effort for Testing
- Begum Taskazan
- Jiri Navratil
- et al.
- 2020
- ICML 2020
Workshop paper