Publications

1587 results for Machine Learning

PoWER-BERT: Accelerating BERT inference via progressive word-vector elimination
- - Saurabh Goyal
  - Anamitra R. Choudhury
  - et al.
- 2020
- ICML 2020
Learning to rank learning curves
- - Martin Wistuba
  - Tejaswini Pedapati
- 2020
- ICML 2020
Model fusion with kullback-leibler divergence
- - Sebastian Claici
  - Mikhail Yurochkin
  - 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
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
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
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