Aaron Courville

Publications by Year

Research Areas

Domain Adaptation and Few-Shot Learning, Topic Modeling, Multimodal Machine Learning Applications, Generative Adversarial Networks and Image Synthesis, Natural Language Processing Techniques

Most-Cited Works

• → Generative adversarial networks(2020)13,008 cited
• → Representation Learning: A Review and New Perspectives(2013)12,721 cited
• Deep Learning(2016)
• → Show, Attend and Tell: Neural Image Caption Generation with Visual Attention(2015)7,495 cited
• → Brain tumor segmentation with Deep Neural Networks(2016)3,182 cited
• Why Does Unsupervised Pre-training Help Deep Learning?(2010)
• → Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation(2013)2,001 cited
• → Improved Training of Wasserstein GANs(2017)1,510 cited