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
Publications
1566 results for Machine Learning
Enhancing simple models by exploiting what they already know
- Amit Dhurandhar
- Karthikeyan Shanmugam
- et al.
- 2020
- ICML 2020
Is there a trade-off between fairness and accuracy? A perspective using mismatched hypothesis testing
- Sanghamitra Dutta
- Dennis Wei
- et al.
- 2020
- ICML 2020
PaccMannRL on SARS-CoV-2: Designing antiviral candidates with conditional generative models
- Jannis Born
- Matteo Manica
- et al.
- 2020
- ICML 2020
Leveraging Simple Model Predictions for Enhancing its Performance
- Amit Dhurandhar
- Karthikeyan Shanmugam
- et al.
- 2020
- ICML 2020
Prediction 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
Machine 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
Discriminant Knowledge Extraction from Electrocardiograms for Automated Diagnosis of Myocardial Infarction
- Girmaw Abebe Tadesse
- Kommy Weldemariam
- et al.
- 2021
- IJCAI 2020
Cross-country linkage of disjoint datasets to address global health challenges
- Girmaw Abebe Tadesse
- Celia Cintas
- et al.
- 2021
- IJCAI 2020
Automatic Diagnosis of Pulmonary Embolism Using an Attention-guided Framework: A Large-scale Study
- Luyao Shi
- Deepta Rajan
- et al.
- 2020
- MIDL 2020