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02/09/2023
An End-to-End Framework for Marketing Effectiveness Optimization under Budget Constraint
Online platforms often incentivize consumers to improve user engagement ...
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02/06/2021
Sill-Net: Feature Augmentation with Separated Illumination Representation
For visual object recognition tasks, the illumination variations can cau...
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10/26/2020
Learning Fast Approximations of Sparse Nonlinear Regression
The idea of unfolding iterative algorithms as deep neural networks has b...
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06/07/2020
FMA-ETA: Estimating Travel Time Entirely Based on FFN With Attention
Estimated time of arrival (ETA) is one of the most important services in...
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11/14/2019
Adversarial Margin Maximization Networks
The tremendous recent success of deep neural networks (DNNs) has sparked...
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06/11/2019
Subspace Attack: Exploiting Promising Subspaces for Query-Efficient Black-box Attacks
Unlike the white-box counterparts that are widely studied and readily ac...
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02/23/2018
DeepDefense: Training Deep Neural Networks with Improved Robustness
Despite the efficacy on a variety of computer vision tasks, deep neural ...
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03/19/2017
Zero-Shot Learning by Generating Pseudo Feature Representations
Zero-shot learning (ZSL) is a challenging task aiming at recognizing nov...
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02/28/2017
Weakly- and Semi-Supervised Object Detection with Expectation-Maximization Algorithm
Object detection when provided image-level labels instead of instance-le...
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09/01/2016
Neural Network Architecture Optimization through Submodularity and Supermodularity
Deep learning models' architectures, including depth and width, are key ...
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08/29/2016