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11/17/2019
Understanding the Teaching Styles by an Attention based Multi-task Cross-media Dimensional modelling
Teaching style plays an influential role in helping students to achieve ...
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11/12/2019
Generative adversarial networks (GAN) based efficient sampling of chemical space for inverse design of inorganic materials
A major challenge in materials design is how to efficiently search the v...
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11/04/2019
A General Early-Stopping Module for Crowdsourced Ranking
Crowdsourcing can be used to determine a total order for an object set (...
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11/04/2019
An End-to-End Deep RL Framework for Task Arrangement in Crowdsourcing Platforms
In this paper, we propose a Deep Reinforcement Learning (RL) framework f...
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10/27/2019
Prediction stability as a criterion in active learning
Recent breakthroughs made by deep learning rely heavily on large number ...
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10/21/2019
Communication Efficient Decentralized Training with Multiple Local Updates
Communication efficiency plays a significant role in decentralized optim...
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10/14/2019
Density-Aware Convolutional Networks with Context Encoding for Airborne LiDAR Point Cloud Classification
To better address challenging issues of the irregularity and inhomogenei...
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10/07/2019
Multi-label Detection and Classification of Red Blood Cells in Microscopic Images
Cell detection and cell type classification from biomedical images play ...
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10/06/2019
Improving One-shot NAS by Suppressing the Posterior Fading
There is a growing interest in automated neural architecture search (NAS...
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10/01/2019
Predicting Alzheimer's Disease by Hierarchical Graph Convolution from Positron Emission Tomography Imaging
Imaging-based early diagnosis of Alzheimer Disease (AD) has become an ef...
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09/24/2019
Negotiation-based Human-Robot Collaboration via Augmented Reality
Effective human-robot collaboration (HRC) requires extensive communicati...
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09/21/2019
Invasiveness Prediction of Pulmonary Adenocarcinomas Using Deep Feature Fusion Networks
Early diagnosis of pathological invasiveness of pulmonary adenocarcinoma...
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09/21/2019
Gene-Patterns: Should Architecture be Customized for Each Application?
Providing architectural support is crucial for newly arising application...
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08/19/2019
Directionally Constrained Fully Convolutional Neural Network For Airborne Lidar Point Cloud Classification
Point cloud classification plays an important role in a wide range of ai...
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07/29/2019
Quadruply Stochastic Gradients for Large Scale Nonlinear Semi-Supervised AUC Optimization
Semi-supervised learning is pervasive in real-world applications, where ...
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07/29/2019
FSS-1000: A 1000-Class Dataset for Few-Shot Segmentation
Over the past few years, we have witnessed the success of deep learning ...
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07/26/2019
Scalable Semi-Supervised SVM via Triply Stochastic Gradients
Semi-supervised learning (SSL) plays an increasingly important role in t...
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07/07/2019
ASCNet: Adaptive-Scale Convolutional Neural Networks for Multi-Scale Feature Learning
Extracting multi-scale information is key to semantic segmentation. Howe...
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07/04/2019
On the Convergence of FedAvg on Non-IID Data
Federated learning enables a large amount of edge computing devices to l...
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07/01/2019
Cross-view Relation Networks for Mammogram Mass Detection
Mammogram is the most effective imaging modality for the mass lesion det...
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05/30/2019
Towards Photo-Realistic Visible Watermark Removal with Conditional Generative Adversarial Networks
Visible watermark plays an important role in image copyright protection ...
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05/23/2019
Spatial Group-wise Enhance: Improving Semantic Feature Learning in Convolutional Networks
The Convolutional Neural Networks (CNNs) generate the feature representa...
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04/24/2019
Optical machine learning with incoherent light and a single-pixel detector
The concept of optical diffractive neural network (DNN) is proposed rece...
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04/18/2019
ConvLab: Multi-Domain End-to-End Dialog System Platform
We present ConvLab, an open-source multi-domain end-to-end dialog system...
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04/13/2019
On Model Adaptation for Sensorimotor Control of Robots
In this article, we address the problem of computing adaptive sensorimot...
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04/02/2019
Non-Rigid Point Set Registration Networks
Point set registration is defined as a process to determine the spatial ...
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03/15/2019
Selective Kernel Networks
In standard Convolutional Neural Networks (CNNs), the receptive fields o...
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03/08/2019
Development of an Autonomous Sanding Robot with Structured-Light Technology
Large demand for robotics and automation has been reflected in the sandi...
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03/02/2019
A Unified Framework for Regularized Reinforcement Learning
We propose and study a general framework for regularized Markov decision...
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02/25/2019
Dynamic Feature Fusion for Semantic Edge Detection
Features from multiple scales can greatly benefit the semantic edge dete...
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02/19/2019
Joint Optimization of Tree-based Index and Deep Model for Recommender Systems
Large-scale industrial recommender systems are usually confronted with c...
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02/13/2019
Do Subsampled Newton Methods Work for High-Dimensional Data?
Subsampled Newton methods approximate Hessian matrices through subsampli...
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12/18/2018
Group-Attention Single-Shot Detector (GA-SSD): Finding Pulmonary Nodules in Large-Scale CT Images
Early diagnosis of pulmonary nodules (PNs) can improve the survival rate...
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12/17/2018
Defense-VAE: A Fast and Accurate Defense against Adversarial Attacks
Deep neural networks (DNNs) have been enormously successful across a var...
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11/20/2018
Wireless Communications with Programmable Metasurface: Transceiver Design and Experimental Results
Metasurfaces have drawn significant attentions due to their superior cap...
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11/02/2018
Improving the Robustness of Speech Translation
Although neural machine translation (NMT) has achieved impressive progre...
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10/17/2018
Deep Diabetologist: Learning to Prescribe Hyperglycemia Medications with Hierarchical Recurrent Neural Networks
In healthcare, applying deep learning models to electronic health record...
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10/08/2018
Triple Attention Mixed Link Network for Single Image Super Resolution
Single image super resolution is of great importance as a low-level comp...
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10/01/2018
Network Modeling and Pathway Inference from Incomplete Data ("PathInf")
In this work, we developed a network inference method from incomplete da...
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08/06/2018
Multi-Estimator Full Left Ventricle Quantification through Ensemble Learning
Cardiovascular disease accounts for 1 in every 4 deaths in United States...
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07/27/2018
Adversarial Open-World Person Re-Identification
In a typical real-world application of re-id, a watch-list (gallery set)...
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06/12/2018
Controlling spectral energies of all harmonics in programmable way using time-domain digital coding metasurface
Modern wireless communication is one of the most important information t...
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06/07/2018
Shape Robust Text Detection with Progressive Scale Expansion Network
The challenges of shape robust text detection lie in two aspects: 1) mos...
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05/31/2018
Modeling 4D fMRI Data via Spatio-Temporal Convolutional Neural Networks (ST-CNN)
Simultaneous modeling of the spatio-temporal variation patterns of brain...
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05/28/2018
Perceive Your Users in Depth: Learning Universal User Representations from Multiple E-commerce Tasks
Tasks such as search and recommendation have become increas- ingly impor...
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05/17/2018
Probabilistic Embedding of Knowledge Graphs with Box Lattice Measures
Embedding methods which enforce a partial order or lattice structure ove...
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04/18/2018
Pelee: A Real-Time Object Detection System on Mobile Devices
An increasing need of running Convolutional Neural Network (CNN) models ...
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02/09/2018
Adversarial Metric Learning
In the past decades, intensive efforts have been put to design various l...
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02/06/2018
Mixed Link Networks
Basing on the analysis by revealing the equivalence of modern networks, ...
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02/03/2018
