Search Results for author: yanfu Zhang

Found 8 papers, 2 papers with code

Adversarial Nonnegative Matrix Factorization

no code implementations ICML 2020 lei luo, yanfu Zhang, Heng Huang

Nonnegative Matrix Factorization (NMF) has become an increasingly important research topic in machine learning.

Bilevel Optimization

A Faster Decentralized Algorithm for Nonconvex Minimax Problems

no code implementations NeurIPS 2021 Wenhan Xian, Feihu Huang, yanfu Zhang, Heng Huang

We prove that our DM-HSGD algorithm achieves stochastic first-order oracle (SFO) complexity of $O(\kappa^3 \epsilon^{-3})$ for decentralized stochastic nonconvex-strongly-concave problem to search an $\epsilon$-stationary point, which improves the exiting best theoretical results.

Optimizing Large-Scale Hyperparameters via Automated Learning Algorithm

1 code implementation17 Feb 2021 Bin Gu, Guodong Liu, yanfu Zhang, Xiang Geng, Heng Huang

Modern machine learning algorithms usually involve tuning multiple (from one to thousands) hyperparameters which play a pivotal role in terms of model generalizability.

Hyperparameter Optimization

Learning Better Visual Data Similarities via New Grouplet Non-Euclidean Embedding

no code implementations ICCV 2021 yanfu Zhang, Lei Luo, Wenhan Xian, Heng Huang

However, pair-wise methods involve expensive training costs, while proxy-based methods are less accurate in characterizing the relationships between data points.

Metric Learning

Exploration and Estimation for Model Compression

no code implementations ICCV 2021 yanfu Zhang, Shangqian Gao, Heng Huang

In this paper, we focus on the discrimination-aware compression of Convolutional Neural Networks (CNNs).

Model Compression

Improved Generalization of Heading Direction Estimation for Aerial Filming Using Semi-supervised Regression

no code implementations26 Mar 2019 Wenshan Wang, Aayush Ahuja, Yanfu Zhang, Rogerio Bonatti, Sebastian Scherer

We show that by leveraging unlabeled sequences, the amount of labeled data required can be significantly reduced.

Integrating kinematics and environment context into deep inverse reinforcement learning for predicting off-road vehicle trajectories

1 code implementation16 Oct 2018 Yanfu Zhang, Wenshan Wang, Rogerio Bonatti, Daniel Maturana, Sebastian Scherer

The first-stage network learns feature representations of the environment using low-level LiDAR statistics and the second-stage network combines those learned features with kinematics data.

Autonomous Navigation motion prediction +1

Autonomous drone cinematographer: Using artistic principles to create smooth, safe, occlusion-free trajectories for aerial filming

no code implementations28 Aug 2018 Rogerio Bonatti, yanfu Zhang, Sanjiban Choudhury, Wenshan Wang, Sebastian Scherer

Autonomous aerial cinematography has the potential to enable automatic capture of aesthetically pleasing videos without requiring human intervention, empowering individuals with the capability of high-end film studios.

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