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11/19/2020
Hybrid Consistency Training with Prototype Adaptation for Few-Shot Learning
Few-Shot Learning (FSL) aims to improve a model's generalization capabil...
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10/15/2020
How to Sell Hard Information
The seller of an asset has the option to buy hard information about the ...
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07/02/2020
The Impact of Explanations on AI Competency Prediction in VQA
Explainability is one of the key elements for building trust in AI syste...
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06/28/2020
Semi-supervised Collaborative Filtering by Text-enhanced Domain Adaptation
Data sparsity is an inherent challenge in the recommender systems, where...
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07/21/2019
Image Classification with Hierarchical Multigraph Networks
Graph Convolutional Networks (GCNs) are a class of general models that c...
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05/08/2019
Data-Efficient Mutual Information Neural Estimator
Measuring Mutual Information (MI) between high-dimensional, continuous, ...
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04/19/2019
Integrating Text and Image: Determining Multimodal Document Intent in Instagram Posts
Computing author intent from multimodal data like Instagram posts requir...
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04/17/2019
Graph based Dynamic Segmentation of Generic Objects in 3D
We propose a novel 3D segmentation method for RBGD stream data to deal w...
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04/15/2019
Personalized Context-aware Re-ranking for E-commerce Recommender Systems
Ranking is a core task in E-commerce recommender systems, which aims at ...
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04/14/2019
BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer
Modeling users' dynamic and evolving preferences from their historical b...
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02/03/2019
Value-aware Recommendation based on Reinforced Profit Maximization in E-commerce Systems
Existing recommendation algorithms mostly focus on optimizing traditiona...
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11/23/2018
Spectral Multigraph Networks for Discovering and Fusing Relationships in Molecules
Spectral Graph Convolutional Networks (GCNs) are a generalization of con...
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04/27/2018
Human Motion Modeling using DVGANs
We present a novel generative model for human motion modeling using Gene...
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02/05/2018
Online Compact Convexified Factorization Machine
Factorization Machine (FM) is a supervised learning approach with a powe...
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12/23/2017
An Approximate Bayesian Long Short-Term Memory Algorithm for Outlier Detection
Long Short-Term Memory networks trained with gradient descent and back-p...
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11/06/2017
Active Learning for Visual Question Answering: An Empirical Study
We present an empirical study of active learning for Visual Question Ans...
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08/08/2017
Fast Approximate Data Assimilation for High-Dimensional Problems
Currently, real-time data assimilation techniques are overwhelmed by dat...
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02/21/2015
Don't Just Listen, Use Your Imagination: Leveraging Visual Common Sense for Non-Visual Tasks
Artificial agents today can answer factual questions. But they fall shor...
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12/14/2014
Combining the Best of Graphical Models and ConvNets for Semantic Segmentation
We present a two-module approach to semantic segmentation that incorpora...
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11/04/2012