Search Results for author: Yunyang Xiong

Found 8 papers, 6 papers with code

You Only Sample (Almost) Once: Linear Cost Self-Attention Via Bernoulli Sampling

1 code implementation18 Nov 2021 Zhanpeng Zeng, Yunyang Xiong, Sathya N. Ravi, Shailesh Acharya, Glenn Fung, Vikas Singh

In this paper, we show that a Bernoulli sampling attention mechanism based on Locality Sensitive Hashing (LSH), decreases the quadratic complexity of such models to linear.

MobileDets: Searching for Object Detection Architectures for Mobile Accelerators

4 code implementations CVPR 2021 Yunyang Xiong, Hanxiao Liu, Suyog Gupta, Berkin Akin, Gabriel Bender, Yongzhe Wang, Pieter-Jan Kindermans, Mingxing Tan, Vikas Singh, Bo Chen

By incorporating regular convolutions in the search space and directly optimizing the network architectures for object detection, we obtain a family of object detection models, MobileDets, that achieve state-of-the-art results across mobile accelerators.

Neural Architecture Search Object Detection

Mixed Effects Neural Networks (MeNets) With Applications to Gaze Estimation

1 code implementation CVPR 2019 Yunyang Xiong, Hyunwoo J. Kim, Vikas Singh

nature of this data suggests better estimation may be possible if the model explicitly made use of such "repeated measurements" from each user as is commonly done in classical statistical analysis using so-called mixed effects models.

Gaze Estimation

Resource Constrained Neural Network Architecture Search: Will a Submodularity Assumption Help?

1 code implementation ICCV 2019 Yunyang Xiong, Ronak Mehta, Vikas Singh

In the latter case, the optimization is often non-differentiable and also not very amenable to derivative-free optimization methods.

Neural Architecture Search

ANTNets: Mobile Convolutional Neural Networks for Resource Efficient Image Classification

no code implementations7 Apr 2019 Yunyang Xiong, Hyunwoo J. Kim, Varsha Hedau

It boosts the representational power by modeling, in a high dimensional space, interdependency of channels between a depthwise convolution layer and a projection layer in the ANTBlocks.

Classification General Classification +1

Building Bayesian Neural Networks with Blocks: On Structure, Interpretability and Uncertainty

no code implementations10 Jun 2018 Hao Henry Zhou, Yunyang Xiong, Vikas Singh

We provide simple schemes to build Bayesian Neural Networks (BNNs), block by block, inspired by a recent idea of computation skeletons.

Gaussian Processes Variational Inference

Filter Flow Made Practical: Massively Parallel and Lock-Free

1 code implementation CVPR 2017 Sathya N. Ravi, Yunyang Xiong, Lopamudra Mukherjee, Vikas Singh

This paper is inspired by a relatively recent work of Seitz and Baker which introduced the so-called Filter Flow model.

Optical Flow Estimation

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