 T-AutoML: Automated Machine Learning for Lesion Segmentation using
Transformers in 3D Medical ImagingIEEE International Conference on Computer Vision (ICCV), 2021 |
 Evolving Transferable Neural Pruning FunctionsAnnual Conference on Genetic and Evolutionary Computation (GECCO), 2021 |
 Auto-DSP: Learning to Optimize Acoustic Echo CancellersIEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 2021 |
 How to Train Your MAML to Excel in Few-Shot ClassificationInternational Conference on Learning Representations (ICLR), 2021 Han-Jia Ye Wei-Lun Chao |
 MetricOpt: Learning to Optimize Black-Box Evaluation MetricsComputer Vision and Pattern Recognition (CVPR), 2021 |
 Learning specialized activation functions with the Piecewise Linear UnitIEEE International Conference on Computer Vision (ICCV), 2021 |
 Learning to Optimize: A Primer and A BenchmarkJournal of machine learning research (JMLR), 2021 |
 Acceleration via Fractal Learning Rate SchedulesInternational Conference on Machine Learning (ICML), 2021 |
 A Novel Framework for Neural Architecture Search in the Hill Climbing
DomainInternational Conference on Artificial Intelligence and Knowledge Engineering (AIKE), 2019 |
 Evolving Reinforcement Learning AlgorithmsInternational Conference on Learning Representations (ICLR), 2021 |
 AutoDropout: Learning Dropout Patterns to Regularize Deep NetworksAAAI Conference on Artificial Intelligence (AAAI), 2021 |
 Are We Ready For Learned Cardinality Estimation?Proceedings of the VLDB Endowment (PVLDB), 2020 |
 Auto-Panoptic: Cooperative Multi-Component Architecture Search for
Panoptic SegmentationNeural Information Processing Systems (NeurIPS), 2020 |
 Training Stronger Baselines for Learning to OptimizeNeural Information Processing Systems (NeurIPS), 2020 |
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 Adversarially Robust Neural ArchitecturesIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020 |
 NeuralScale: Efficient Scaling of Neurons for Resource-Constrained Deep
Neural NetworksComputer Vision and Pattern Recognition (CVPR), 2020 |
 Actor-Critic Reinforcement Learning for Control with Stability GuaranteeIEEE Robotics and Automation Letters (RA-L), 2020 |
 Meta-Learning in Neural Networks: A SurveyIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020 |
 MiLeNAS: Efficient Neural Architecture Search via Mixed-Level
ReformulationComputer Vision and Pattern Recognition (CVPR), 2020 |
 ARDA: Automatic Relational Data Augmentation for Machine LearningProceedings of the VLDB Endowment (PVLDB), 2020 |
 Meta-learning curiosity algorithmsInternational Conference on Learning Representations (ICLR), 2020 |
 AutoML-Zero: Evolving Machine Learning Algorithms From ScratchInternational Conference on Machine Learning (ICML), 2020 |
