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07/25/2023
Mitigating Mainstream Bias in Recommendation via Cost-sensitive Learning
Mainstream bias, where some users receive poor recommendations because t...
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04/20/2023
Multi-label Node Classification On Graph-Structured Data
Graph Neural Networks (GNNs) have shown state-of-the-art improvements in...
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05/10/2022
Evaluating the Impact of Tiled User-Adaptive Real-Time Point Cloud Streaming on VR Remote Communication
Remote communication has rapidly become a part of everyday life in both ...
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06/04/2021
New Insights into Metric Optimization for Ranking-based Recommendation
Direct optimization of IR metrics has often been adopted as an approach ...
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02/02/2021
Leave No User Behind: Towards Improving the Utility of Recommender Systems for Non-mainstream Users
In a collaborative-filtering recommendation scenario, biases in the data...
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08/09/2020
Partially Synthetic Data for Recommender Systems: Prediction Performance and Preference Hiding
This paper demonstrates the potential of statistical disclosure control ...
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05/14/2020
S2IGAN: Speech-to-Image Generation via Adversarial Learning
An estimated half of the world's languages do not have a written form, m...
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08/12/2019
Matching Images and Text with Multi-modal Tensor Fusion and Re-ranking
A major challenge in matching images and text is that they have intrinsi...
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05/27/2019
Statistical Significance Testing in Information Retrieval: An Empirical Analysis of Type I, Type II and Type III Errors
Statistical significance testing is widely accepted as a means to assess...
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04/15/2019
Are Nearby Neighbors Relatives?: Diagnosing Deep Music Embedding Spaces
Deep neural networks have frequently been used to directly learn represe...
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12/19/2018
Factorization Machines for Data with Implicit Feedback
In this work, we propose FM-Pair, an adaptation of Factorization Machine...
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02/12/2018
One Deep Music Representation to Rule Them All? : A comparative analysis of different representation learning strategies
Inspired by the success of deploying deep learning in the fields of Comp...
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08/08/2017
From Deterministic to Generative: Multi-Modal Stochastic RNNs for Video Captioning
Video captioning in essential is a complex natural process, which is aff...
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01/28/2016
Geo-distinctive Visual Element Matching for Location Estimation of Images
We propose an image representation and matching approach that substantia...
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01/12/2016
