Hugo Larochelle

Publications by Year

Research Areas

Domain Adaptation and Few-Shot Learning, Generative Adversarial Networks and Image Synthesis, Multimodal Machine Learning Applications, Topic Modeling, Machine Learning and Data Classification

Most-Cited Works

• → Domain-Adversarial Training of Neural Networks(2017)7,541 cited
• → Extracting and composing robust features with denoising autoencoders(2008)7,259 cited
• → Practical Bayesian Optimization of Machine Learning Algorithms(2012)5,634 cited
• Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion(2010)
• → Greedy Layer-Wise Training of Deep Networks(2007)4,688 cited
• → Brain tumor segmentation with Deep Neural Networks(2016)3,182 cited
• → Deep learning with coherent nanophotonic circuits(2017)2,994 cited
• Optimization as a Model for Few-Shot Learning(2017)
• Advances in Neural Information Processing Systems 32 (NeurIPS 2019)(2020)
• Proceedings of The 32nd International Conference on Machine Learning(2015)