Densely Connected Search Space for More Flexible Neural Architecture Search

CVPR 2020 1 code implementation

We revisit the search space design in most previous NAS methods and find the number and widths of blocks are set manually.

IMAGE CLASSIFICATION NEURAL ARCHITECTURE SEARCH

Skeleton-Aware Networks for Deep Motion Retargeting

12 May 20201 code implementation

In other words, our operators form the building blocks of a new deep motion processing framework that embeds the motion into a common latent space, shared by a collection of homeomorphic skeletons.

MOTION CAPTURE MOTION RETARGETING MOTION SYNTHESIS

LadderNet: Multi-path networks based on U-Net for medical image segmentation

17 Oct 20181 code implementation

A LadderNet has more paths for information flow because of skip connections and residual blocks, and can be viewed as an ensemble of Fully Convolutional Networks (FCN).

RETINAL VESSEL SEGMENTATION SEMANTIC SEGMENTATION

Deriving Neural Network Design and Learning from the Probabilistic Framework of Chain Graphs

30 Jun 20201 code implementation

The last decade has witnessed a boom of neural network (NN) research and applications achieving state-of-the-art results in various domains.

A Bayesian Method for Joint Clustering of Vectorial Data and Network Data

24 Oct 20171 code implementation

We present a new model-based integrative method for clustering objects given both vectorial data, which describes the feature of each object, and network data, which indicates the similarity of connected objects.

BAYESIAN INFERENCE

Markov Chain Block Coordinate Descent

22 Nov 2018no code implementations

random and cyclic selections are either infeasible or very expensive.

DISTRIBUTED OPTIMIZATION

Deep Variable-Block Chain with Adaptive Variable Selection

7 Dec 2019no code implementations

In this paper, we propose a framework that imposes on blocks of variables a chain structure obtained by step-wise greedy search so that the DNN architecture can leverage the constructed grid.

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