
The Design and Implementation of a Scalable DL Benchmarking Platform
The current Deep Learning (DL) landscape is fastpaced and is rife with ...
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TransGaGa: GeometryAware Unsupervised ImagetoImage Translation
Unsupervised imagetoimage translation aims at learning a mapping betwe...
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DLBricks: Composable Benchmark Generation toReduce Deep Learning Benchmarking Effort on CPUs
The past few years have seen a surge of applying Deep Learning (DL) mode...
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ReenactGAN: Learning to Reenact Faces via Boundary Transfer
We present a novel learningbased framework for face reenactment. The pr...
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Benanza: Automatic μBenchmark Generation to Compute "Lowerbound" Latency and Inform Optimizations of Deep Learning Models on GPUs
As Deep Learning (DL) models have been increasingly used in latencysens...
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Nonrigid Registration Method between 3D CT Liver Data and 2D Ultrasonic Images based on Demons Model
The nonrigid registration between CT data and ultrasonic images of live...
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DLBricks: Composable Benchmark Generation to Reduce Deep Learning Benchmarking Effort on CPUs
The past few years have seen a surge of applying Deep Learning (DL) mode...
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Disentangling Content and Style via Unsupervised Geometry Distillation
It is challenging to disentangle an object into two orthogonal spaces of...
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Challenges and Pitfalls of Reproducing Machine Learning Artifacts
An increasingly complex and diverse collection of Machine Learning(ML) m...
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Oneshot Face Reenactment
To enable realistic shape (e.g. pose and expression) transfer, existing ...
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Modelbased Convolutional DeAliasing Network Learning for Parallel MR Imaging
Parallel imaging has been an essential technique to accelerate MR imagin...
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Benanza: Automatic uBenchmark Generation to Compute "Lowerbound" Latency and Inform Optimizations of Deep Learning Models on GPUs
As Deep Learning (DL) models have been increasingly used in latencysens...
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The Devil of Face Recognition is in the Noise
The growing scale of face recognition datasets empowers us to train stro...
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AUNet: Breast Mass Segmentation of Whole Mammograms
Deep learning based segmentation has seen rapid development lately in bo...
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CLCINet: CrossLevel fusion and Context Inference Networks for Lesion Segmentation of Chronic Stroke
Segmenting stroke lesions from T1weighted MR images is of great value f...
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AcrossStack Profiling and Characterization of Machine Learning Models on GPUs
The world sees a proliferation of machine learning/deep learning (ML) mo...
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Learning CrossModal Deep Representations for MultiModal MR Image Segmentation
Multimodal magnetic resonance imaging (MRI) is essential in clinics for...
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From which world is your graph?
Discovering statistical structure from links is a fundamental problem in...
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Regularizing Model Complexity and Label Structure for MultiLabel Text Classification
Multilabel text classification is a popular machine learning task where...
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Merge or Not? Learning to Group Faces via Imitation Learning
Given a large number of unlabeled face images, face grouping aims at clu...
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Transferring Landmark Annotations for CrossDataset Face Alignment
Dataset bias is a well known problem in object recognition domain. This ...
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Deep Memory Networks for Attitude Identification
We consider the task of identifying attitudes towards a given set of ent...
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Less is More: Learning Prominent and Diverse Topics for Data Summarization
Statistical topic models efficiently facilitate the exploration of large...
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Find the Conversation Killers: a Predictive Study of Threadending Posts
How to improve the quality of conversations in online communities has at...
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Covariance Function PreTraining with mKernels for Accelerated Bayesian Optimisation
The paper presents a novel approach to direct covariance function learni...
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High Dimensional Bayesian Optimization Using Dropout
Scaling Bayesian optimization to high dimensions is challenging task as ...
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Rapid Bayesian optimisation for synthesis of short polymer fiber materials
The discovery of processes for the synthesis of new materials involves m...
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A DivideandConquer Bayesian Approach to LargeScale Kriging
Flexible hierarchical Bayesian modeling of massive data is challenging d...
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Optimal Hybrid FullDuplex/HalfDuplex Scheme of the Buffer Aided Relay System
Fullduplex (FD) communication has received great interests recently due...
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PoseRobust Face Recognition via Deep Residual Equivariant Mapping
Face recognition achieves exceptional success thanks to the emergence of...
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Optimal Hybrid FullDuplex/HalfDuplex Scheme for Buffer Aided Relay Systems
Fullduplex (FD) communication has received great interest in recent yea...
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A New Hybrid HalfDuplex/FullDuplex Relaying System with Antenna Diversity
The hybrid halfduplex/fullduplex (HD/FD) relaying scheme is an effecti...
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Optimal MultiUser Scheduling of BufferAided Relay Systems
MultiUser scheduling is a challenging problem under the relaying scenar...
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Kernel PreTraining in Feature Space via mKernels
This paper presents a novel approach to kernel tuning. The method presen...
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Physical Layer Security Enhancement for Satellite Communication among Similar Channels: Relay Selection and Power Allocation
Channels of satellite communication are usually modeled as Rician fading...
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Classifying Mammographic Breast Density by Residual Learning
Mammographic breast density, a parameter used to describe the proportion...
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Matrix Factorization on GPUs with Memory Optimization and Approximate Computing
Matrix factorization (MF) discovers latent features from observations, w...
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Practical Batch Bayesian Optimization for Less Expensive Functions
Bayesian optimization (BO) and its batch extensions are successful for o...
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MLModelScope: Evaluate and Measure ML Models within AI Pipelines
The current landscape of Machine Learning (ML) and Deep Learning (DL) is...
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Offline Comparison of Ranking Functions using Randomized Data
Ranking functions return ranked lists of items, and users often interact...
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TrIMS: Transparent and Isolated Model Sharing for Low Latency Deep LearningInference in Function as a Service Environments
Deep neural networks (DNNs) have become core computation components with...
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Optimal Iterative ThresholdKernel Estimation of Jump Diffusion Processes
In this paper, we study a thresholdkernel estimation method for jumpdi...
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TFRanking: Scalable TensorFlow Library for LearningtoRank
TensorFlow Ranking is the first open source library for solving largesc...
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Delay Outage Probability of Multirelay Selection for Mobile Relay Edge Computing Systems
In this paper, we deal with the problem of relay selection in mobile edg...
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Estimating Position Bias without Intrusive Interventions
Presentation bias is one of the key challenges when learning from implic...
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Deep Comprehensive Correlation Mining for Image Clustering
Recent developed deep unsupervised methods allow us to jointly learn rep...
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Adapting RNN Sequence Prediction Model to Multilabel Set Prediction
We present an adaptation of RNN sequence models to the problem of multi...
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Sparse Spectrum Gaussian Process for Bayesian Optimisation
We propose a novel sparse spectrum approximation of Gaussian process (GP...
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Challenges and Pitfalls of Machine Learning Evaluation and Benchmarking
An increasingly complex and diverse collection of Machine Learning (ML) ...
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SCOPE: C3SR Systems Characterization and Benchmarking Framework
This report presents the design of the Scope infrastructure for extensib...
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