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15 Results
Workshop
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Sat 7:40 |
Corpus for AutoML Pipelines, Richard Lippmann, Swoop Vattam, Pooya Khorrami, and Cagri Dagli Richard Lippmann · Pooya Khorrami |
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Workshop
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Fri 11:10 |
AutoML3 - LifeLong ML with concept drift Challenge. Second place winner. A Boosting Tree Based AutoML System for High Cardinality Streaming Data Classification with Concept Drift Zheng Xiong · Jiyan Jiang · Wenpeng Zhang |
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Poster
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Tue 14:00 |
Data-Driven Clustering via Parameterized Lloyd's Families Maria-Florina Balcan · Travis Dick · Colin White |
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Poster
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Tue 14:00 |
Learning to Solve SMT Formulas Mislav Balunovic · Pavol Bielik · Martin Vechev |
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Poster
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Thu 7:45 |
Maximizing acquisition functions for Bayesian optimization James Wilson · Frank Hutter · Marc Deisenroth |
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Poster
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Tue 14:00 |
Searching for Efficient Multi-Scale Architectures for Dense Image Prediction Liang-Chieh Chen · Maxwell Collins · Yukun Zhu · George Papandreou · Barret Zoph · Florian Schroff · Hartwig Adam · Jonathon Shlens |
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Poster
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Thu 7:45 |
Transfer Learning with Neural AutoML Catherine Wong · Neil Houlsby · Yifeng Lu · Andrea Gesmundo |
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Poster
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Thu 14:00 |
Neural Architecture Optimization Renqian Luo · Fei Tian · Tao Qin · Enhong Chen · Tie-Yan Liu |
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Poster
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Tue 14:00 |
Provably Correct Automatic Sub-Differentiation for Qualified Programs Sham Kakade · Jason Lee |
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Poster
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Thu 14:00 |
Scalable Hyperparameter Transfer Learning Valerio Perrone · Rodolphe Jenatton · Matthias W Seeger · Cedric Archambeau |
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Poster
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Thu 7:45 |
Learning to Teach with Dynamic Loss Functions Lijun Wu · Fei Tian · Yingce Xia · Yang Fan · Tao Qin · Lai Jian-Huang · Tie-Yan Liu |
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Poster
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Thu 7:45 |
Automating Bayesian optimization with Bayesian optimization Gustavo Malkomes · Roman Garnett |