5 papers
Image Generation Via Minimizing Fréchet Distance in Discriminator Feature Space
Khoa D. Doan, Saurav Manchanda, Fengjiao Wang +3
For a given image generation problem, the intrinsic image manifold is often low dimensional. We use the intuition that it is much better to train the GAN generator by minimizing th…
Gradient Boosting Neural Networks: GrowNet
Sarkhan Badirli, Xuanqing Liu, Zhengming Xing +3
A novel gradient boosting framework is proposed where shallow neural networks are employed as ``weak learners''. General loss functions are considered under this unified framework…
Geometry Aware Mappings for High Dimensional Sparse Factors
Avradeep Bhowmik, Nathan Liu, Erheng Zhong +2
While matrix factorisation models are ubiquitous in large scale recommendation and search, real time application of such models requires inner product computations over an intracta…
Generalized Linear Models for Aggregated Data
Avradeep Bhowmik, Joydeep Ghosh, Oluwasanmi Koyejo
Databases in domains such as healthcare are routinely released to the public in aggregated form. Unfortunately, naive modeling with aggregated data may significantly diminish the a…
Monotone Retargeting for Unsupervised Rank Aggregation with Object Features
Avradeep Bhowmik, Joydeep Ghosh
Learning the true ordering between objects by aggregating a set of expert opinion rank order lists is an important and ubiquitous problem in many applications ranging from social c…