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CrossNER: Evaluating Cross-Domain Named Entity Recognition
Cross-domain named entity recognition (NER) models are able to cope with...
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SelfVoxeLO: Self-supervised LiDAR Odometry with Voxel-based Deep Neural Networks
Recent learning-based LiDAR odometry methods have demonstrated their com...
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Multi-hop Question Generation with Graph Convolutional Network
Multi-hop Question Generation (QG) aims to generate answer-related quest...
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Microscopic fine-grained instance classification through deep attention
Fine-grained classification of microscopic image data with limited sampl...
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Learning Knowledge Bases with Parameters for Task-Oriented Dialogue Systems
Task-oriented dialogue systems are either modularized with separate dial...
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Few-Shot Learning with Intra-Class Knowledge Transfer
We consider the few-shot classification task with an unbalanced dataset,...
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Testing and Support Recovery of Correlation Structures for Matrix-Valued Observations with an Application to Stock Market Data
Estimation of the covariance matrix of asset returns is crucial to portf...
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CAiRE-COVID: A Question Answering and Multi-Document Summarization System for COVID-19 Research
To address the need for refined information in COVID-19 pandemic, we pro...
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SSN: Shape Signature Networks for Multi-class Object Detection from Point Clouds
Multi-class 3D object detection aims to localize and classify objects of...
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MaskFlownet: Asymmetric Feature Matching with Learnable Occlusion Mask
Feature warping is a core technique in optical flow estimation; however,...
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SiamSNN: Spike-based Siamese Network for Energy-Efficient and Real-time Object Tracking
Although deep neural networks (DNNs) have achieved fantastic success in ...
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An ultraweak-local discontinuous Galerkin method for PDEs with high order spatial derivatives
In this paper, we develop a new discontinuous Galerkin method for solvin...
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Fair Auction and Trade Framework for Cloud VM Allocation based on Blockchain
Cloud auctions provide cost-effective strategies for cloud VM allocation...
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Differentially Private Combinatorial Cloud Auction
Cloud service providers typically provide different types of virtual mac...
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Estimating 3D Camera Pose from 2D Pedestrian Trajectories
We consider the task of re-calibrating the 3D pose of a static surveilla...
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Zero-shot Cross-lingual Dialogue Systems with Transferable Latent Variables
Despite the surging demands for multilingual task-oriented dialog system...
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Depth Completion from Sparse LiDAR Data with Depth-Normal Constraints
Depth completion aims to recover dense depth maps from sparse depth meas...
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Incorporating Word and Subword Units in Unsupervised Machine Translation Using Language Model Rescoring
This paper describes CAiRE's submission to the unsupervised machine tran...
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Constrained Multi-Objective Optimization for Automated Machine Learning
Automated machine learning has gained a lot of attention recently. Build...
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Differentially Private Aggregated Mobility Data Publication Using Moving Characteristics
With the rapid development of GPS enabled devices (smartphones) and loca...
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Recursive Cascaded Networks for Unsupervised Medical Image Registration
We present recursive cascaded networks, a general architecture that enab...
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CAiRE_HKUST at SemEval-2019 Task 3: Hierarchical Attention for Dialogue Emotion Classification
Detecting emotion from dialogue is a challenge that has not yet been ext...
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Exact Adversarial Attack to Image Captioning via Structured Output Learning with Latent Variables
In this work, we study the robustness of a CNN+RNN based image captionin...
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Unsupervised 3D End-to-End Medical Image Registration with Volume Tweening Network
3D medical image registration is of great clinical importance. However, ...
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Making Double Spectrum Auction Practical: Both Privacy and Efficiency Matter
Truthful spectrum auction is believed to be an effective method for spec...
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Look Across Elapse: Disentangled Representation Learning and Photorealistic Cross-Age Face Synthesis for Age-Invariant Face Recognition
Despite the remarkable progress in face recognition related technologies...
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Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge
Tumor proliferation is an important biomarker indicative of the prognosi...
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Human-Interactive Subgoal Supervision for Efficient Inverse Reinforcement Learning
Humans are able to understand and perform complex tasks by strategically...
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Bayesian hierarchical models for SNP discovery from genome-wide association studies, a semi-supervised machine learning approach
Genome-wide association studies (GWASs) aim to detect genetic risk facto...
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Autotune: A Derivative-free Optimization Framework for Hyperparameter Tuning
Machine learning applications often require hyperparameter tuning. The h...
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MRI Image-to-Image Translation for Cross-Modality Image Registration and Segmentation
We develop a novel cross-modality generation framework that learns to ge...
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Unsupervised Learning for Cell-level Visual Representation in Histopathology Images with Generative Adversarial Networks
The visual attributes of cells, such as the nuclear morphology and chrom...
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Unsupervised End-to-end Learning for Deformable Medical Image Registration
We propose a registration algorithm for 2D CT/MRI medical images with a ...
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Sleep Stage Classification Based on Multi-level Feature Learning and Recurrent Neural Networks via Wearable Device
This paper proposes a practical approach for automatic sleep stage class...
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Constrained Deep Weak Supervision for Histopathology Image Segmentation
In this paper, we develop a new weakly-supervised learning algorithm to ...
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Optimizing Quantiles in Preference-based Markov Decision Processes
In the Markov decision process model, policies are usually evaluated by ...
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Learning Multi-level Features For Sensor-based Human Action Recognition
This paper proposes a multi-level feature learning framework for human a...
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Gland Instance Segmentation Using Deep Multichannel Neural Networks
Objective: A new image instance segmentation method is proposed to segme...
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End-to-End Subtitle Detection and Recognition for Videos in East Asian Languages via CNN Ensemble with Near-Human-Level Performance
In this paper, we propose an innovative end-to-end subtitle detection an...
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Compressing Neural Language Models by Sparse Word Representations
Neural networks are among the state-of-the-art techniques for language m...
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Gland Instance Segmentation by Deep Multichannel Side Supervision
In this paper, we propose a new image instance segmentation method that ...
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How Transferable are Neural Networks in NLP Applications?
Transfer learning is aimed to make use of valuable knowledge in a source...
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Improved Relation Classification by Deep Recurrent Neural Networks with Data Augmentation
Nowadays, neural networks play an important role in the task of relation...
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Natural Language Inference by Tree-Based Convolution and Heuristic Matching
In this paper, we propose the TBCNN-pair model to recognize entailment a...
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Discriminative Neural Sentence Modeling by Tree-Based Convolution
This paper proposes a tree-based convolutional neural network (TBCNN) fo...
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Building Program Vector Representations for Deep Learning
Deep learning has made significant breakthroughs in various fields of ar...
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