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Active Learning to Classify Macromolecular Structures in situ for Less Supervision in Cryo-Electron Tomography
Motivation: Cryo-Electron Tomography (cryo-ET) is a 3D bioimaging tool t...
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Multi-Stage Transmission Line Flow Control Using Centralized and Decentralized Reinforcement Learning Agents
Planning future operational scenarios of bulk power systems that meet se...
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Recommending Courses in MOOCs for Jobs: An Auto Weak Supervision Approach
The proliferation of massive open online courses (MOOCs) demands an effe...
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Memory-Gated Recurrent Networks
The essence of multivariate sequential learning is all about how to extr...
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Residual Matrix Product State for Machine Learning
Tensor network (TN), which originates from quantum physics, shows broad ...
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Progressive One-shot Human Parsing
Prior human parsing models are limited to parsing humans into classes pr...
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SPOC learner's final grade prediction based on a novel sampling batch normalization embedded neural network method
Recent years have witnessed the rapid growth of Small Private Online Cou...
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COAD: Contrastive Pre-training with Adversarial Fine-tuning for Zero-shot Expert Linking
Expert finding, a popular service provided by many online websites such ...
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Pre-Training Graph Neural Networks for Cold-Start Users and Items Representation
Cold-start problem is a fundamental challenge for recommendation tasks. ...
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Uncertainty-Aware Deep Calibrated Salient Object Detection
Existing deep neural network based salient object detection (SOD) method...
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3D Guided Weakly Supervised Semantic Segmentation
Pixel-wise clean annotation is necessary for fully-supervised semantic s...
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SIR: Self-supervised Image Rectification via Seeing the Same Scene from Multiple Different Lenses
Deep learning has demonstrated its power in image rectification by lever...
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DUT: Learning Video Stabilization by Simply Watching Unstable Videos
We propose a Deep Unsupervised Trajectory-based stabilization framework ...
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Inter-layer Transition in Neural Architecture Search
Differential Neural Architecture Search (NAS) methods represent the netw...
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Empowering Things with Intelligence: A Survey of the Progress, Challenges, and Opportunities in Artificial Intelligence of Things
In the Internet of Things (IoT) era, billions of sensors and devices col...
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End-to-end Animal Image Matting
Extracting accurate foreground animals from natural animal images benefi...
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Neural-Symbolic Reasoning on Knowledge Graphs
Knowledge graph reasoning is the fundamental component to support machin...
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Uncertainty Inspired RGB-D Saliency Detection
We propose the first stochastic framework to employ uncertainty for RGB-...
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MLBF-Net: A Multi-Lead-Branch Fusion Network for Multi-Class Arrhythmia Classification Using 12-Lead ECG
Automatic arrhythmia detection using 12-lead electrocardiogram (ECG) sig...
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Nighttime Dehazing with a Synthetic Benchmark
Increasing the visibility of nighttime hazy images is challenging becaus...
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Generative networks as inverse problems with fractional wavelet scattering networks
Deep learning is a hot research topic in the field of machine learning m...
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Learning Noise-Aware Encoder-Decoder from Noisy Labels by Alternating Back-Propagation for Saliency Detection
In this paper, we propose a noise-aware encoder-decoder framework to dis...
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Structured Massive Access for Scalable Cell-Free Massive MIMO Systems
How to meet the demand for increasing number of users, higher data rates...
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GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training
Graph representation learning has emerged as a powerful technique for re...
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Condensing Two-stage Detection with Automatic Object Key Part Discovery
Modern two-stage object detectors generally require excessively large mo...
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Cox regression analysis for distorted covariates with an unknown distortion function
We study inference for censored survival data where some covariates are ...
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Unsupervised Domain Expansion from Multiple Sources
Given an existing system learned from previous source domains, it is des...
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Gleason Score Prediction using Deep Learning in Tissue Microarray Image
Prostate cancer (PCa) is one of the most common cancers in men around th...
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Multi-Target Deep Learning for Algal Detection and Classification
Water quality has a direct impact on industry, agriculture, and public h...
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Knowledge Graph Embedding with Linear Representation for Link Prediction
Knowledge graph (KG) embedding aims to represent entities and relations ...
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Vectorial ball Prolate spheroidal wave functions with the divergence free constraint
In this paper, we introduce one family of vectorial prolate spheroidal w...
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Active Learning Approach to Optimization of Experimental Control
In this work we present a general machine learning based scheme to optim...
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Weakly-Supervised Salient Object Detection via Scribble Annotations
Compared with laborious pixel-wise dense labeling, it is much easier to ...
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Registration of multi-view point sets under the perspective of expectation-maximization
Registration of multi-view point sets is a prerequisite for 3D model rec...
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A regression-based method for detecting publication bias in multivariate meta-analysis
Publication bias occurs when the publication of research results depends...
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Towards High Performance Human Keypoint Detection
Human keypoint detection from a single image is very challenging due to ...
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Ensemble emotion recognizing with multiple modal physiological signals
Physiological signals that provide the objective repression of human aff...
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Grapy-ML: Graph Pyramid Mutual Learning for Cross-dataset Human Parsing
Human parsing, or human body part semantic segmentation, has been an act...
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Progressive Retinex: Mutually Reinforced Illumination-Noise Perception Network for Low Light Image Enhancement
Contrast enhancement and noise removal are coupled problems for low-ligh...
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RAKA:Co-training of Relationships and Attributes for Cross-lingual Knowledge Alignment
Cross-lingual knowledge alignment suffers from the attribute heterogenei...
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Category Anchor-Guided Unsupervised Domain Adaptation for Semantic Segmentation
Unsupervised domain adaptation (UDA) aims to enhance the generalization ...
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Human Keypoint Detection by Progressive Context Refinement
Human keypoint detection from a single image is very challenging due to ...
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Conversion Rate Prediction via Post-Click Behaviour Modeling
Effective and efficient recommendation is crucial for modern e-commerce ...
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MIOpen: An Open Source Library For Deep Learning Primitives
Deep Learning has established itself to be a common occurrence in the bu...
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Optimal Sliced Latin Hypercube Designs with Slices of Arbitrary Run Sizes
Sliced Latin hypercube designs (SLHDs) are widely used in computer exper...
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Semi-Supervised Graph Embedding for Multi-Label Graph Node Classification
The graph convolution network (GCN) is a widely-used facility to realize...
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FAMED-Net: A Fast and Accurate Multi-scale End-to-end Dehazing Network
Single image dehazing is a critical image pre-processing step for subseq...
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Computer-aided Detection of Squamous Carcinoma of the Cervix in Whole Slide Images
Goal: Squamous cell carcinoma of cervix is one of the most prevalent can...
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TurboNet: A Model-driven DNN Decoder Based on Max-Log-MAP Algorithm for Turbo Code
This paper presents TurboNet, a novel model-driven deep learning (DL) ar...
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Deep Learning Based on Orthogonal Approximate Message Passing for CP-Free OFDM
Channel estimation and signal detection are very challenging for an orth...
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