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02/10/2023
Efficient and Accurate Learning of Mixtures of Plackett-Luce Models
Mixture models of Plackett-Luce (PL) – one of the most fundamental ranki...
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10/09/2022
A Spectral Approach to Item Response Theory
The Rasch model is one of the most fundamental models in item response t...
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09/07/2022
Network-aware Prefetching Method for Short-Form Video Streaming
Recent years have witnessed the rising of short-form video platforms suc...
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08/12/2022
Orthogonal Gated Recurrent Unit with Neumann-Cayley Transformation
In recent years, using orthogonal matrices has been shown to be a promis...
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06/23/2022
Efficient and Accurate Top-K Recovery from Choice Data
The intersection of learning to rank and choice modeling is an active ar...
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06/01/2022
HYCEDIS: HYbrid Confidence Engine for Deep Document Intelligence System
Measuring the confidence of AI models is critical for safely deploying A...
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01/08/2021
Deep Diffusion Processes for Active Learning of Hyperspectral Images
A method for active learning of hyperspectral images (HSI) is proposed, ...
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09/20/2020
Unsupervised Anomaly Detection on Temporal Multiway Data
Temporal anomaly detection looks for irregularities over space-time. Uns...
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11/05/2019
Improving Long Handwritten Text Line Recognition with Convolutional Multi-way Associative Memory
Convolutional Recurrent Neural Networks (CRNNs) excel at scene text reco...
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03/15/2019