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08/15/2023
Inversion-by-Inversion: Exemplar-based Sketch-to-Photo Synthesis via Stochastic Differential Equations without Training
Exemplar-based sketch-to-photo synthesis allows users to generate photo-...
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08/04/2023
Class Incremental Learning with Self-Supervised Pre-Training and Prototype Learning
Deep Neural Network (DNN) has achieved great success on datasets of clos...
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10/26/2020
Restrained Generative Adversarial Network against Overfitting in Numeric Data Augmentation
In recent studies, Generative Adversarial Network (GAN) is one of the po...
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06/17/2020
FISHING Net: Future Inference of Semantic Heatmaps In Grids
For autonomous robots to navigate a complex environment, it is crucial t...
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01/31/2020
Lossless Attention in Convolutional Networks for Facial Expression Recognition in the Wild
Unlike the constraint frontal face condition, faces in the wild have var...
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11/05/2019
Study of Constrained Network Structures for WGANs on Numeric Data Generation
Some recent studies have suggested using GANs for numeric data generatio...
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07/27/2018
An experiment in distributed Internet address management using blockchains
The current system to manage the global pool of IP addresses is centrali...
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05/22/2018
A Solvable High-Dimensional Model of GAN
Despite the remarkable successes of generative adversarial networks (GAN...
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05/17/2018
Subspace Estimation from Incomplete Observations: A High-Dimensional Analysis
We present a high-dimensional analysis of three popular algorithms, name...
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12/08/2017
Scaling Limit: Exact and Tractable Analysis of Online Learning Algorithms with Applications to Regularized Regression and PCA
We present a framework for analyzing the exact dynamics of a class of on...
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10/15/2017