Showing 1–20 of 21 results
/ Date/ Name
Sep 19, 2019Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAMLApr 5, 2017Linear Additive Markov ProcessesNov 24, 2016Survey of Expressivity in Deep Neural NetworksJun 16, 2016On the Expressive Power of Deep Neural NetworksNov 7, 2017Can Deep Reinforcement Learning Solve Erdos-Selfridge-Spencer Games?Mar 28, 2019The Algorithmic Automation Problem: Prediction, Triage, and Human EffortFeb 14, 2019Transfusion: Understanding Transfer Learning for Medical ImagingMar 26, 2020A Survey of Deep Learning for Scientific DiscoveryOct 29, 2020Do Wide and Deep Networks Learn the Same Things? Uncovering How Neural Network Representations Vary with Width and DepthNov 5, 2020Teaching with CommentariesMay 30, 2015Team Performance with Test ScoresAug 19, 2021Do Vision Transformers See Like Convolutional Neural Networks?Jun 19, 2017SVCCA: Singular Vector Canonical Correlation Analysis for Deep Learning Dynamics and InterpretabilityJun 14, 2018Insights on representational similarity in neural networks with canonical correlationJul 4, 2018Direct Uncertainty Prediction for Medical Second OpinionsJul 14, 2020Anatomy of Catastrophic Forgetting: Hidden Representations and Task SemanticsJul 27, 2021Pointer Value Retrieval: A new benchmark for understanding the limits of neural network generalizationMay 26, 2022Learning to Reason with Neural Networks: Generalization, Unseen Data and Boolean MeasuresFeb 15, 2022On the Origins of the Block Structure Phenomenon in Neural Network RepresentationsJun 16, 2016Exponential expressivity in deep neural networks through transient chaos