
-
Quality meets Diversity: A Model-Agnostic Framework for Computerized Adaptive Testing
Computerized Adaptive Testing (CAT) is emerging as a promising testing a...
read it
-
Multi-Interactive Attention Network for Fine-grained Feature Learning in CTR Prediction
In the Click-Through Rate (CTR) prediction scenario, user's sequential b...
read it
-
Exploring the Usage of Online Food Delivery Data for Intra-Urban Job and Housing Mobility Detection and Characterization
Human mobility plays a critical role in urban planning and policy-making...
read it
-
Reduced Reference Perceptual Quality Model and Application to Rate Control for 3D Point Cloud Compression
In rate-distortion optimization, the encoder settings are determined by ...
read it
-
A Odor Labeling Convolutional Encoder-Decoder for Odor Sensing in Machine Olfaction
Nowadays, machine olfaction has been widely used in many fields. In this...
read it
-
Sampling-Decomposable Generative Adversarial Recommender
Recommendation techniques are important approaches for alleviating infor...
read it
-
End-to-end trainable network for degraded license plate detection via vehicle-plate relation mining
License plate detection is the first and essential step of the license p...
read it
-
An Investigation on Different Underlying Quantization Schemes for Pre-trained Language Models
Recently, pre-trained language models like BERT have shown promising per...
read it
-
Pre-Training by Completing Point Clouds
There has recently been a flurry of exciting advances in deep learning m...
read it
-
Conditional Uncorrelation and Efficient Non-approximate Subset Selection in Sparse Regression
Given m d-dimensional responsors and n d-dimensional predictors, sparse ...
read it
-
Modular End-to-end Automatic Speech Recognition Framework for Acoustic-to-word Model
End-to-end (E2E) systems have played a more and more important role in a...
read it
-
Future Vector Enhanced LSTM Language Model for LVCSR
Language models (LM) play an important role in large vocabulary continuo...
read it
-
An Investigation on Deep Learning with Beta Stabilizer
Artificial neural networks (ANN) have been used in many applications suc...
read it
-
A Study on Effects of Implicit and Explicit Language Model Information for DBLSTM-CTC Based Handwriting Recognition
Deep Bidirectional Long Short-Term Memory (D-BLSTM) with a Connectionist...
read it
-
ASGN: An Active Semi-supervised Graph Neural Network for Molecular Property Prediction
Molecular property prediction (e.g., energy) is an essential problem in ...
read it
-
A Survey on Sensor Technologies for Unmanned Ground Vehicles
Unmanned ground vehicles have a huge development potential in both civil...
read it
-
IROS 2019 Lifelong Robotic Vision Challenge – Lifelong Object Recognition Report
This report summarizes IROS 2019-Lifelong Robotic Vision Competition (Li...
read it
-
An end-to-end CNN framework for polarimetric vision tasks based on polarization-parameter-constructing network
Pixel-wise operations between polarimetric images are important for proc...
read it
-
A Survey on Contextual Embeddings
Contextual embeddings, such as ELMo and BERT, move beyond global word re...
read it
-
Image Generation from Freehand Scene Sketches
We introduce the first method for automatic image generation from scene-...
read it
-
Model-based Joint Bit Allocation between Geometry and Color for Video-based 3D Point Cloud Compression
Rate distortion optimization plays a very important role in image/video ...
read it
-
Rate Distortion Optimized Joint Bit Allocation between Geometry and Color for Video-based 3D Point Cloud Compression
Rate distortion optimization plays a very important role in image/video ...
read it
-
Beyond Clicks: Modeling Multi-Relational Item Graph for Session-Based Target Behavior Prediction
Session-based target behavior prediction aims to predict the next item t...
read it
-
A Single RGB Camera Based Gait Analysis with a Mobile Tele-Robot for Healthcare
With the increasing awareness of high-quality life, there is a growing n...
read it
-
Domain Adaption for Knowledge Tracing
With the rapid development of online education system, knowledge tracing...
read it
-
Crowdfunding Dynamics Tracking: A Reinforcement Learning Approach
Recent years have witnessed the increasing interests in research of crow...
read it
-
A Comprehensive Study and Comparison of Core Technologies for MPEG 3D Point Cloud Compression
Point cloud based 3D visual representation is becoming popular due to it...
read it
-
Estimating Early Fundraising Performance of Innovations via Graph-based Market Environment Model
Well begun is half done. In the crowdfunding market, the early fundraisi...
read it
-
Hyperbolic Graph Neural Networks
Learning from graph-structured data is an important task in machine lear...
read it
-
Long-term Joint Scheduling for Urban Traffic
Recently, the traffic congestion in modern cities has become a growing w...
read it
-
Interpretable Cognitive Diagnosis with Neural Network
In intelligent education systems, one key issue is to discover students'...
read it
-
Interpretable Cognitive Diagnosis with Neural Network for Intelligent Educational Systems
In intelligent education systems, one key issue is to discover students'...
read it
-
Multi-Task Self-Supervised Learning for Disfluency Detection
Most existing approaches to disfluency detection heavily rely on human-a...
read it
-
Molecular Property Prediction: A Multilevel Quantum Interactions Modeling Perspective
Predicting molecular properties (e.g., atomization energy) is an essenti...
read it
-
EKT: Exercise-aware Knowledge Tracing for Student Performance Prediction
For offering proactive services to students in intelligent education, on...
read it
-
Chinese Embedding via Stroke and Glyph Information: A Dual-channel View
Recent studies have consistently given positive hints that morphology is...
read it
-
Promotion of Answer Value Measurement with Domain Effects in Community Question Answering Systems
In the area of community question answering (CQA), answer selection and ...
read it
-
Explainable Fashion Recommendation: A Semantic Attribute Region Guided Approach
In fashion recommender systems, each product usually consists of multipl...
read it
-
MCNE: An End-to-End Framework for Learning Multiple Conditional Network Representations of Social Network
Recently, the Network Representation Learning (NRL) techniques, which re...
read it
-
Enhancing Item Response Theory for Cognitive Diagnosis
Cognitive diagnosis is a fundamental and crucial task in many educationa...
read it
-
Transcribing Content from Structural Images with Spotlight Mechanism
Transcribing content from structural images, e.g., writing notes from mu...
read it
-
QuesNet: A Unified Representation for Heterogeneous Test Questions
Understanding learning materials (e.g. test questions) is a crucial issu...
read it
-
Exploiting Cognitive Structure for Adaptive Learning
Adaptive learning, also known as adaptive teaching, relies on learning p...
read it
-
Quaternion Knowledge Graph Embedding
Complex-valued representations have demonstrated promising results on mo...
read it
-
Machine Vision Guided 3D Medical Image Compression for Efficient Transmission and Accurate Segmentation in the Clouds
Cloud based medical image analysis has become popular recently due to th...
read it
-
FDD Massive MIMO Based on Efficient Downlink Channel Reconstruction
Massive multiple-input multiple-output (MIMO) systems deploying a large ...
read it
-
Insertion-based Decoding with Automatically Inferred Generation Order
Conventional neural autoregressive decoding commonly assumes a left-to-r...
read it
-
PRIN: Pointwise Rotation-Invariant Network
In recent years, point clouds have earned quite some research interests ...
read it
-
Skeptical Deep Learning with Distribution Correction
Recently deep neural networks have been successfully used for various cl...
read it
-
Learning from History and Present: Next-item Recommendation via Discriminatively Exploiting User Behaviors
In the modern e-commerce, the behaviors of customers contain rich inform...
read it