Video Lectures AllHistorical StudiesMathematicsNatural SciencesSocial ScienceProspects in Theoretical PhysicsWomen and MathematicsFriends of the InstituteMore search optionsTitleYearTags Separate tags with a comma. SpeakerItems per page5102550Sort byDate AscDate DescTitle AscTitle Descvideo lecture Interpreting Deep Neural Networks October 17, 2019Bin Yu https://www.ias.edu/math/wtdl Read More video lecture Designing Explicit Regularizers for Deep Models October 17, 2019Tengyu Ma https://www.ias.edu/math/wtdl Read More video lecture Understanding the inductive bias due to dropout October 17, 2019Raman Arora https://www.ias.edu/math/wtdl Read More video lecture Learning Representations Using Causal Invariance October 17, 2019Leon Bottou https://www.ias.edu/math/wtdl Read More video lecture Panel Session October 16, 2019Various https://www.ias.edu/math/wtdl Read More video lecture Towards a theoretical foundation of neural networks October 16, 2019Jason Leehttps://www.ias.edu/math/wtdl Read More video lecture Spotlight talks October 16, 2019Various https://www.ias.edu/math/wtdl Read More video lecture From Classical Statistics to Modern ML: the Lessons of Deep Learning October 16, 2019Mikhail Belkin https://www.ias.edu/math/wtdl Read More video lecture On the Connection between Neural Networks and Kernels: a Modern Perspective October 16, 2019Simon Du https://www.ias.edu/math/wtdl Read More video lecture Neural Models for Speech and Language: Successes, Challenges, and the Relationship to Computational Models of the Brain October 16, 2019Michael Collins https://www.ias.edu/math/wtdl Read More PaginationFirst page« FirstPrevious page‹ Previous… Page 221 Page 222 Page 223 Page 224 Current page 225 Page 226 Page 227 Page 228 Page 229…Next pageNext ›Last pageLast »
video lecture Interpreting Deep Neural Networks October 17, 2019Bin Yu https://www.ias.edu/math/wtdl Read More
video lecture Designing Explicit Regularizers for Deep Models October 17, 2019Tengyu Ma https://www.ias.edu/math/wtdl Read More
video lecture Understanding the inductive bias due to dropout October 17, 2019Raman Arora https://www.ias.edu/math/wtdl Read More
video lecture Learning Representations Using Causal Invariance October 17, 2019Leon Bottou https://www.ias.edu/math/wtdl Read More
video lecture Towards a theoretical foundation of neural networks October 16, 2019Jason Leehttps://www.ias.edu/math/wtdl Read More
video lecture From Classical Statistics to Modern ML: the Lessons of Deep Learning October 16, 2019Mikhail Belkin https://www.ias.edu/math/wtdl Read More
video lecture On the Connection between Neural Networks and Kernels: a Modern Perspective October 16, 2019Simon Du https://www.ias.edu/math/wtdl Read More
video lecture Neural Models for Speech and Language: Successes, Challenges, and the Relationship to Computational Models of the Brain October 16, 2019Michael Collins https://www.ias.edu/math/wtdl Read More