Model fusion with kullback-leibler divergence
- Sebastian Claici
- Mikhail Yurochkin
- et al.
- 2020
- ICML 2020
Conference paper
Publications
1609 results for Machine Learning
Transfer 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 paperProper network interpretability helps adversarial robustness in classification
- Akhilan Boopathy
- Sijia Liu
- et al.
- 2020
- ICML 2020
Conference paperPoWER-BERT: Accelerating BERT inference via progressive word-vector elimination
- 2020
- ICML 2020
Conference paperLearning to rank learning curves
- Martin Wistuba
- Tejaswini Pedapati
- 2020
- ICML 2020
Conference paperLeveraging Simple Model Predictions for Enhancing its Performance
- Amit Dhurandhar
- Karthikeyan Shanmugam
- 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 paperPaccMannRL on SARS-CoV-2: Designing antiviral candidates with conditional generative models
- Jannis Born
- Matteo Manica
- et al.
- 2020
- ICML 2020
Workshop paperMachine Learning to Assess the Association of H. Pylori Infection and Gastric and Oesophageal Cancer by Detecting Western Blot Protein Bands
- Girmaw Abebe Tadesse
- Daniel Chapman
- et al.
- 2020
- ICML 2020
Workshop posterCross-country linkage of disjoint datasets to address global health challenges
- Girmaw Abebe Tadesse
- Celia Cintas
- et al.
- 2021
- IJCAI 2020
Workshop paper