Max Vladymyrov

Publications by Year

Research Areas

Face and Expression Recognition, Advanced Neural Network Applications, Domain Adaptation and Few-Shot Learning, Neural Networks and Applications, Topic Modeling

Most-Cited Works

• → Underspecification Presents Challenges for Credibility in Modern Machine Learning(2020)430 cited
• → Transformers learn in-context by gradient descent(2022)89 cited
• → Fine-tuning Image Transformers using Learnable Memory(2022)50 cited
• → Locally Linear Landmarks for Large-Scale Manifold Learning(2013)29 cited
• Entropic Affinities: Properties and Efficient Numerical Computation(2013)
• → Partial-Hessian Strategies for Fast Learning of Nonlinear Embeddings(2012)23 cited
• → HyperTransformer: Model Generation for Supervised and Semi-Supervised Few-Shot Learning(2022)18 cited
• The variational Nyström method for large-scale spectral problems(2016)
• Linear-time Training of Nonlinear Low-Dimensional Embeddings(2014)
• A fast, universal algorithm to learn parametric nonlinear embeddings(2015)