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71 Results
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Poster
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Optimizing Data Collection for Machine Learning Rafid Mahmood · James Lucas · Jose M. Alvarez · Sanja Fidler · Marc Law |
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Workshop
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Bayesian Optimization with a Neural Network Meta-learned on Synthetic Data Only Samuel Müller · Sebastian Pineda Arango · Matthias Feurer · Josif Grabocka · Frank Hutter |
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Poster
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Federated Submodel Optimization for Hot and Cold Data Features Yucheng Ding · Chaoyue Niu · Fan Wu · Shaojie Tang · Chengfei Lyu · yanghe feng · Guihai Chen |
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Poster
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SAPipe: Staleness-Aware Pipeline for Data Parallel DNN Training Yangrui Chen · Cong Xie · Meng Ma · Juncheng Gu · Yanghua Peng · Haibin Lin · Chuan Wu · Yibo Zhu |
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Poster
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Thu 9:00 |
Data-Efficient Structured Pruning via Submodular Optimization Marwa El Halabi · Suraj Srinivas · Simon Lacoste-Julien |
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Workshop
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Fri 13:50 |
Experimental platform and digital twin for AI-driven materials optimization and discovery for microelectronics using atomic layer deposition Angel Yanguas-Gil · Steve Letourneau · Noah Paulson · Jeffrey Elam |
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Poster
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Wed 9:00 |
Global Linear and Local Superlinear Convergence of IRLS for Non-Smooth Robust Regression Liangzu Peng · Christian Kümmerle · Rene Vidal |
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Poster
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Wed 9:00 |
Two-layer neural network on infinite dimensional data: global optimization guarantee in the mean-field regime Naoki Nishikawa · Taiji Suzuki · Atsushi Nitanda · Denny Wu |
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Poster
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Tue 9:00 |
AUTOMATA: Gradient Based Data Subset Selection for Compute-Efficient Hyper-parameter Tuning Krishnateja Killamsetty · Guttu Sai Abhishek · Aakriti Lnu · Ganesh Ramakrishnan · Alexandre Evfimievski · Lucian Popa · Rishabh Iyer |
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Affinity Workshop
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Multi-objective Bayesian Optimization with Heuristic Objectives for Biomedical and Molecular Data Analysis Workflows Alina Selega · Kieran Campbell |
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Workshop
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Empirical Study on Optimizer Selection for Out-of-Distribution Generalization Hiroki Naganuma · Kartik Ahuja · Ioannis Mitliagkas · Shiro Takagi · Tetsuya Motokawa · Rio Yokota · Kohta Ishikawa · Ikuro Sato |