
Deep Time Series Models for Scarce Data
Time series data have grown at an explosive rate in numerous domains and...
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Adversarial Graph Disentanglement
A realworld graph has a complex topology structure, which is often form...
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LID 2020: The Learning from Imperfect Data Challenge Results
Learning from imperfect data becomes an issue in many industrial applica...
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Taking Modalityfree Human Identification as Zeroshot Learning
Human identification is an important topic in event detection, person tr...
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Dynamic Dispatching for LargeScale Heterogeneous Fleet via Multiagent Deep Reinforcement Learning
Dynamic dispatching is one of the core problems for operation optimizati...
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CSER: Communicationefficient SGD with Error Reset
The scalability of Distributed Stochastic Gradient Descent (SGD) is toda...
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Accelerated Large Batch Optimization of BERT Pretraining in 54 minutes
BERT has recently attracted a lot of attention in natural language under...
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Distributioninduced Bidirectional Generative Adversarial Network for Graph Representation Learning
Graph representation learning aims to encode all nodes of a graph into l...
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Manufacturing Dispatching using Reinforcement and Transfer Learning
Efficient dispatching rule in manufacturing industry is key to ensure pr...
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Generative Adversarial Networks for Failure Prediction
Prognostics and Health Management (PHM) is an emerging engineering disci...
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Edge Heuristic GAN for Nonuniform Blind Deblurring
Nonuniform blur, mainly caused by camera shake and motions of multiple ...
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GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing
We present GluonCV and GluonNLP, the deep learning toolkits for computer...
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CommunicationEfficient Distributed Blockwise Momentum SGD with ErrorFeedback
Communication overhead is a major bottleneck hampering the scalability o...
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Blockwise Adaptivity: Faster Training and Better Generalization in Deep Learning
Stochastic methods with coordinatewise adaptive stepsize (such as RMSpr...
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Remaining Useful Life Estimation Using Functional Data Analysis
Remaining Useful Life (RUL) of an equipment or one of its components is ...
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Give me a hint! Navigating Image Databases using Humanintheloop Feedback
In this paper, we introduce an attributebased interactive image search ...
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ModaNet: A LargeScale Street Fashion Dataset with Polygon Annotations
Understanding clothes from a single image has strong commercial and cult...
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Lightweight Stochastic Optimization for Minimizing Finite Sums with Infinite Data
Variance reduction has been commonly used in stochastic optimization. It...
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Regularized Singular Value Decomposition and Application to Recommender System
Singular value decomposition (SVD) is the mathematical basis of principa...
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Minimal Support Vector Machine
Support Vector Machine (SVM) is an efficient classification approach, wh...
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Fast EndtoEnd Trainable Guided Filter
Image processing and pixelwise dense prediction have been advanced by h...
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Conditional ImageText Embedding Networks
This paper presents an approach for grounding phrases in images which jo...
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GPGAN: Towards Realistic HighResolution Image Blending
Recent advances in generative adversarial networks (GANs) have shown pro...
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Learning Arbitrary Pairwise Potentials in CRFs for Semantic Segmentation
Are we using the right potential functions in the Conditional Random Fie...
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A Harmonic Mean Linear Discriminant Analysis for Robust Image Classification
Linear Discriminant Analysis (LDA) is a widelyused supervised dimension...
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Kernel Alignment Inspired Linear Discriminant Analysis
Kernel alignment measures the degree of similarity between two kernels. ...
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FullyTrainable Deep Matching
Deep Matching (DM) is a popular highquality method for quasidense imag...
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Accelerating Deep Learning with Shrinkage and Recall
Deep Learning is a very powerful machine learning model. Deep Learning t...
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Stochastic VarianceReduced ADMM
The alternating direction method of multipliers (ADMM) is a powerful opt...
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Fast Nonsmooth Regularized Risk Minimization with Continuation
In regularized risk minimization, the associated optimization problem be...
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Conditional Random Fields as Recurrent Neural Networks
Pixellevel labelling tasks, such as semantic segmentation, play a centr...
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ImageSpirit: Verbal Guided Image Parsing
Humans describe images in terms of nouns and adjectives while algorithms...
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TranslationInvariant Representation for Cumulative Foot Pressure Images
Human can be distinguished by different limb movements and unique ground...
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