3.7k citations · 4.5k across the 21 of their papers we have counts for
4 papers · 1 filter
Interpretable Deep Learning Methods for Multiview Learning
Hengkang Wang, Han Lu, Ju Sun +1
Technological advances have enabled the generation of unique and complementary types of data or views (e.g. genomics, proteomics, metabolomics) and opened up a new era in multiview…
NCVX: A General-Purpose Optimization Solver for Constrained Machine and Deep Learning
Buyun Liang, Tim Mitchell, Ju Sun
Imposing explicit constraints is relatively new but increasingly pressing in deep learning, stimulated by, e.g., trustworthy AI that performs robust optimization over complicated p…
Inverse Problems, Deep Learning, and Symmetry Breaking
Kshitij Tayal, Chieh-Hsin Lai, Vipin Kumar +1
In many physical systems, inputs related by intrinsic system symmetries are mapped to the same output. When inverting such systems, i.e., solving the associated inverse problems, t…
A Unified Analysis of AdaGrad with Weighted Aggregation and Momentum Acceleration
Li Shen, Congliang Chen, Fangyu Zou +3
Integrating adaptive learning rate and momentum techniques into SGD leads to a large class of efficiently accelerated adaptive stochastic algorithms, such as AdaGrad, RMSProp, Adam…