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A Batch Learning Framework for Scalable Personalized Ranking
Kuan Liu, Prem Natarajan
In designing personalized ranking algorithms, it is desirable to encourage a high precision at the top of the ranked list. Existing methods either seek a smooth convex surrogate fo…
WMRB: Learning to Rank in a Scalable Batch Training Approach
Kuan Liu, Prem Natarajan
We propose a new learning to rank algorithm, named Weighted Margin-Rank Batch loss (WMRB), to extend the popular Weighted Approximate-Rank Pairwise loss (WARP). WMRB uses a new ran…
Bidirectional Conditional Generative Adversarial Networks
Ayush Jaiswal, Wael AbdAlmageed, Yue Wu +1
Conditional Generative Adversarial Networks (cGANs) are generative models that can produce data samples () conditioned on both latent variables () and known auxiliary informa…
An Investigation into the Pedagogical Features of Documents
Emily Sheng, Prem Natarajan, Jonathan Gordon +1
Characterizing the content of a technical document in terms of its learning utility can be useful for applications related to education, such as generating reading lists from large…
Multimedia Semantic Integrity Assessment Using Joint Embedding Of Images And Text
Ayush Jaiswal, Ekraam Sabir, Wael AbdAlmageed +1
Real world multimedia data is often composed of multiple modalities such as an image or a video with associated text (e.g. captions, user comments, etc.) and metadata. Such multimo…
Deep Matching and Validation Network -- An End-to-End Solution to Constrained Image Splicing Localization and Detection
Yue Wu, Wael AbdAlmageed, Prem Natarajan
Image splicing is a very common image manipulation technique that is sometimes used for malicious purposes. A splicing detec- tion and localization algorithm usually takes an input…