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A Hybrid Quantum-Classical Hamiltonian Learning Algorithm
Hamiltonian learning is crucial to the certification of quantum devices ...
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Automated Machine Learning on Graphs: A Survey
Machine learning on graphs has been extensively studied in both academic...
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Improving Medical Image Classification with Label Noise Using Dual-uncertainty Estimation
Deep neural networks are known to be data-driven and label noise can hav...
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Symmetric distinguishability as a quantum resource
We develop a resource theory of symmetric distinguishability, the fundam...
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MetaDelta: A Meta-Learning System for Few-shot Image Classification
Meta-learning aims at learning quickly on novel tasks with limited data ...
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Group Inverse-Gamma Gamma Shrinkage for Sparse Regression with Block-Correlated Predictors
Heavy-tailed continuous shrinkage priors, such as the horseshoe prior, a...
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ASVspoof 2019: spoofing countermeasures for the detection of synthesized, converted and replayed speech
The ASVspoof initiative was conceived to spearhead research in anti-spoo...
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LOCCNet: a machine learning framework for distributed quantum information processing
Distributed quantum information processing is essential for building qua...
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A Closer Look at Temporal Sentence Grounding in Videos: Datasets and Metrics
Despite Temporal Sentence Grounding in Videos (TSGV) has realized impres...
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Instance-Aware Predictive Navigation in Multi-Agent Environments
In this work, we aim to achieve efficient end-to-end learning of driving...
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Multimodal Gait Recognition for Neurodegenerative Diseases
In recent years, single modality based gait recognition has been extensi...
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A Marching Cube Algorithm Based on Edge Growth
Marching Cube algorithm is currently one of the most popular 3D reconstr...
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New Constructions of Optimal Locally Repairable Codes with Super-Linear Length
As an important coding scheme in modern distributed storage systems, loc...
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Physical Implementability of Quantum Maps and Its Application in Error Mitigation
Completely positive and trace-preserving maps characterize physically im...
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VSQL: Variational Shadow Quantum Learning for Classification
Classification of quantum data is essential for quantum machine learning...
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Variational Quantum Algorithms for Trace Distance and Fidelity Estimation
Estimating the difference between quantum data is crucial in quantum com...
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DiffPerf: Towards Performance Differentiation and Optimization with SDN Implementation
Continuing the current trend, Internet traffic is expected to grow signi...
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Leveraging Regular Fundus Images for Training UWF Fundus Diagnosis Models via Adversarial Learning and Pseudo-Labeling
Recently, ultra-widefield (UWF) 200-degree fundus imaging by Optos camer...
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Attention Aware Cost Volume Pyramid Based Multi-view Stereo Network for 3D Reconstruction
We present an efficient multi-view stereo (MVS) network for 3D reconstru...
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Pretraining Strategies, Waveform Model Choice, and Acoustic Configurations for Multi-Speaker End-to-End Speech Synthesis
We explore pretraining strategies including choice of base corpus with t...
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Denoising-and-Dereverberation Hierarchical Neural Vocoder for Robust Waveform Generation
This paper presents a denoising and dereverberation hierarchical neural ...
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A Comprehensive Survey on Curriculum Learning
Curriculum learning (CL) is a training strategy that trains a machine le...
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How Similar or Different Is Rakugo Speech Synthesizer to Professional Performers?
We have been working on speech synthesis for rakugo (a traditional Japan...
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SWIPENET: Object detection in noisy underwater images
In recent years, deep learning based object detection methods have achie...
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End-to-End Text-to-Speech using Latent Duration based on VQ-VAE
Explicit duration modeling is a key to achieving robust and efficient al...
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Holistic Combination of Structural and Textual Code Information for Context based API Recommendation
Context based API recommendation is an important way to help developers ...
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A Unified Approach to Interpreting and Boosting Adversarial Transferability
In this paper, we use the interaction inside adversarial perturbations t...
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Learning by Minimizing the Sum of Ranked Range
In forming learning objectives, one oftentimes needs to aggregate a set ...
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Bounding the forward classical capacity of bipartite quantum channels
We introduce various measures of forward classical communication for bip...
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A Survey of Deep Active Learning
Active learning (AL) attempts to maximize the performance gain of the mo...
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Crossing-Domain Generative Adversarial Networks for Unsupervised Multi-Domain Image-to-Image Translation
State-of-the-art techniques in Generative Adversarial Networks (GANs) ha...
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Joint Modeling of Chest Radiographs and Radiology Reports for Pulmonary Edema Assessment
We propose and demonstrate a novel machine learning algorithm that asses...
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Learning Tuple Compatibility for Conditional OutfitRecommendation
Outfit recommendation requires the answers of some challenging outfit co...
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Deep Learning to Quantify Pulmonary Edema in Chest Radiographs
Background: Clinical management decisions for acutely decompensated CHF ...
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Fashion Captioning: Towards Generating Accurate Descriptions with Semantic Rewards
Generating accurate descriptions for online fashion items is important n...
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Deep Visual Odometry with Adaptive Memory
We propose a novel deep visual odometry (VO) method that considers globa...
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A SLAM Map Restoration Algorithm Based on Submaps and an Undirected Connected Graph
Many visual simultaneous localization and mapping (SLAM) systems have be...
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Cost of quantum entanglement simplified
Quantum entanglement is a key physical resource in quantum information p...
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Hierarchical Interaction Networks with Rethinking Mechanism for Document-level Sentiment Analysis
Document-level Sentiment Analysis (DSA) is more challenging due to vague...
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Tandem Assessment of Spoofing Countermeasures and Automatic Speaker Verification: Fundamentals
Recent years have seen growing efforts to develop spoofing countermeasur...
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The curious case of developmental BERTology: On sparsity, transfer learning, generalization and the brain
In this essay, we explore a point of intersection between deep learning ...
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Multimodal Text Style Transfer for Outdoor Vision-and-Language Navigation
In the vision-and-language navigation (VLN) task, an agent follows natur...
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Learning Continuous-Time Dynamics by Stochastic Differential Networks
Learning continuous-time stochastic dynamics from sparse or irregular ob...
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Eigen-GNN: A Graph Structure Preserving Plug-in for GNNs
Graph Neural Networks (GNNs) are emerging machine learning models on gra...
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Variational Quantum Singular Value Decomposition
Singular value decomposition is central to many problems in both enginee...
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More Practical and Adaptive Algorithms for Online Quantum State Learning
Online quantum state learning is a recently proposed problem by Aaronson...
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A Comprehensive Survey of Neural Architecture Search: Challenges and Solutions
Deep learning has made major breakthroughs and progress in many fields. ...
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On Lattice Packings and Coverings of Asymmetric Limited-Magnitude Balls
We construct integer error-correcting codes and covering codes for the l...
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Investigation of learning abilities on linguistic features in sequence-to-sequence text-to-speech synthesis
Neural sequence-to-sequence text-to-speech synthesis (TTS) can produce h...
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Variational quantum Gibbs state preparation with a truncated Taylor series
The preparation of quantum Gibbs state is an essential part of quantum c...
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