Kevin Swersky

Publications by Year

Research Areas

Machine Learning and Data Classification, Generative Adversarial Networks and Image Synthesis, Domain Adaptation and Few-Shot Learning, Gaussian Processes and Bayesian Inference, Topic Modeling

Most-Cited Works

• → Taking the Human Out of the Loop: A Review of Bayesian Optimization(2015)5,585 cited
• → Prototypical Networks for Few-shot Learning(2017)5,184 cited
• Learning Fair Representations(2013)
• → Meta-Learning for Semi-Supervised Few-Shot Classification(2018)726 cited
• → Big Self-Supervised Models are Strong Semi-Supervised Learners(2020)476 cited
• Multi-Task Bayesian Optimization(2013)
• → Scalable Bayesian Optimization Using Deep Neural Networks(2015)439 cited
• → Generative Moment Matching Networks(2015)379 cited
• → Predicting Deep Zero-Shot Convolutional Neural Networks Using Textual Descriptions(2015)337 cited