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09/13/2023
Deep Nonparametric Convexified Filtering for Computational Photography, Image Synthesis and Adversarial Defense
We aim to provide a general framework of for computational photography t...
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09/04/2023
Relay Diffusion: Unifying diffusion process across resolutions for image synthesis
Diffusion models achieved great success in image synthesis, but still fa...
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10/29/2022
Robust Boosting Forests with Richer Deep Feature Hierarchy
We propose a robust variant of boosting forest to the various adversaria...
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08/11/2022
Quantized Adaptive Subgradient Algorithms and Their Applications
Data explosion and an increase in model size drive the remarkable advanc...
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04/07/2019
Normalized Diversification
Generating diverse yet specific data is the goal of the generative adver...
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01/24/2019
Trajectory Normalized Gradients for Distributed Optimization
Recently, researchers proposed various low-precision gradient compressio...
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12/29/2018
Monocular 3D Pose Recovery via Nonconvex Sparsity with Theoretical Analysis
For recovering 3D object poses from 2D images, a prevalent method is to ...
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12/07/2017
Learning Random Fourier Features by Hybrid Constrained Optimization
The kernel embedding algorithm is an important component for adapting ke...
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11/08/2017
Learning Sparse Visual Representations with Leaky Capped Norm Regularizers
Sparsity inducing regularization is an important part for learning over-...
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10/26/2017
Gradient Sparsification for Communication-Efficient Distributed Optimization
Modern large scale machine learning applications require stochastic opti...
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04/26/2017