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Age Progression/Regression by Conditional Adversarial Autoencoder
TLDR
A conditional adversarial autoencoder that learns a face manifold, traversing on which smooth age progression and regression can be realized simultaneously is proposed, and the appealing performance and flexibility of the proposed framework is demonstrated by comparing with the state-of-the-art and ground truth. Expand
An Overview of Microsoft Academic Service (MAS) and Applications
TLDR
A knowledge driven, highly interactive dialog that seamlessly combines reactive search and proactive suggestion experience, and a proactive heterogeneous entity recommendation are demonstrated. Expand
Class-Balanced Loss Based on Effective Number of Samples
TLDR
This work designs a re-weighting scheme that uses the effective number of samples for each class to re-balance the loss, thereby yielding a class-balanced loss and introduces a novel theoretical framework to measure data overlap by associating with each sample a small neighboring region rather than a single point. Expand
Learning Fine-Grained Image Similarity with Deep Ranking
TLDR
A deep ranking model that employs deep learning techniques to learn similarity metric directly from images has higher learning capability than models based on hand-crafted features and deep classification models. Expand
Therapeutic target database update 2012: a resource for facilitating target-oriented drug discovery
TLDR
This work added target validation information for 932 targets, and 841 quantitative structure activity relationship models for active compounds of 228 chemical types against 121 targets, to Therapeutic Target Database. Expand
Improving the Robustness of Deep Neural Networks via Stability Training
TLDR
This paper presents a general stability training method to stabilize deep networks against small input distortions that result from various types of common image processing, such as compression, rescaling, and cropping. Expand
The iNaturalist Species Classification and Detection Dataset
TLDR
The iNaturalist species classification and detection dataset, consisting of 859,000 images from over 5,000 different species of plants and animals, is presented, which features visually similar species, captured in a wide variety of situations, from all over the world. Expand
Tour the world: Building a web-scale landmark recognition engine
TLDR
This paper leverages the vast amount of multimedia data on the Web, the availability of an Internet image search engine, and advances in object recognition and clustering techniques, to address issues of modeling and recognizing landmarks at world-scale. Expand
Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning
TLDR
This work proposes a measure to estimate domain similarity via Earth Mover's Distance and demonstrates that transfer learning benefits from pre-training on a source domain that is similar to the target domain by this measure. Expand
Real-time automatic tag recommendation
TLDR
Experiments on large-scale tagging datasets of scientific documents and web pages del.icio.us indicate that the proposed framework for real-time tag recommendation is capable of making tag recommendation efficiently and effectively. Expand
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