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06/29/2023
Towards Optimal Randomized Strategies in Adversarial Example Game
The vulnerability of deep neural network models to adversarial example a...
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06/11/2023
PACER: A Fully Push-forward-based Distributional Reinforcement Learning Algorithm
In this paper, we propose the first fully push-forward-based Distributio...
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04/23/2023
Accelerated Doubly Stochastic Gradient Algorithm for Large-scale Empirical Risk Minimization
Nowadays, algorithms with fast convergence, small memory footprints, and...
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04/23/2023
An Asynchronous Decentralized Algorithm for Wasserstein Barycenter Problem
Wasserstein Barycenter Problem (WBP) has recently received much attentio...
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11/10/2022
ClassPruning: Speed Up Image Restoration Networks by Dynamic N:M Pruning
Image restoration tasks have achieved tremendous performance improvement...
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09/23/2022
Rethinking Performance Gains in Image Dehazing Networks
Image dehazing is an active topic in low-level vision, and many image de...
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04/08/2022
Vision Transformers for Single Image Dehazing
Image dehazing is a representative low-level vision task that estimates ...
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03/15/2022
Multi-Curve Translator for Real-Time High-Resolution Image-to-Image Translation
The dominant image-to-image translation methods are based on fully convo...
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02/06/2022
SIGMA: A Structural Inconsistency Reducing Graph Matching Algorithm
Graph matching finds the correspondence of nodes across two correlated g...
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12/02/2021
DPVI: A Dynamic-Weight Particle-Based Variational Inference Framework
The recently developed Particle-based Variational Inference (ParVI) meth...
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11/12/2021
Approximating Optimal Transport via Low-rank and Sparse Factorization
Optimal transport (OT) naturally arises in a wide range of machine learn...
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07/27/2021
StarEnhancer: Learning Real-Time and Style-Aware Image Enhancement
Image enhancement is a subjective process whose targets vary with user p...
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05/29/2021
A Federated Learning Framework for Nonconvex-PL Minimax Problems
We consider a general class of nonconvex-PL minimax problems in the cros...
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12/02/2020
Partial Gromov-Wasserstein Learning for Partial Graph Matching
Graph matching finds the correspondence of nodes across two graphs and i...
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10/21/2019
Efficient Projection-Free Online Methods with Stochastic Recursive Gradient
This paper focuses on projection-free methods for solving smooth Online ...
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10/21/2019
Stochastic Recursive Gradient-Based Methods for Projection-Free Online Learning
This paper focuses on projection-free methods for solving smooth Online ...
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10/21/2019
Aggregated Gradient Langevin Dynamics
In this paper, we explore a general Aggregated Gradient Langevin Dynamic...
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05/25/2018
Towards More Efficient Stochastic Decentralized Learning: Faster Convergence and Sparse Communication
Recently, the decentralized optimization problem is attracting growing a...
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11/13/2016
Accelerated Variance Reduced Block Coordinate Descent
Algorithms with fast convergence, small number of data access, and low p...
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11/12/2016
Riemannian Tensor Completion with Side Information
By restricting the iterate on a nonlinear manifold, the recently propose...
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09/05/2015
Co-interest Person Detection from Multiple Wearable Camera Videos
Wearable cameras, such as Google Glass and Go Pro, enable video data col...
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07/11/2015