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Microsoft Speaker Diarization System for the VoxCeleb Speaker Recognition Challenge 2020
This paper describes the Microsoft speaker diarization system for monaur...
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Reverse-engineering Bar Charts Using Neural Networks
Reverse-engineering bar charts extracts textual and numeric information ...
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ResNeXt and Res2Net Structure for Speaker Verification
ResNet-based architecture has been widely adopted as the speaker embeddi...
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Predicting Elastic Properties of Materials from Electronic Charge Density Using 3D Deep Convolutional Neural Networks
Materials representation plays a key role in machine learning based pred...
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Global Attention based Graph Convolutional Neural Networks for Improved Materials Property Prediction
Machine learning (ML) methods have gained increasing popularity in explo...
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Impact of JD Bernal Thoughts in the Science of Science upon China: Implications for Quantitative Studies of Science Today
John Desmond Bernal (1901-1970) was one of the most eminent scientists i...
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Machine Learning based prediction of noncentrosymmetric crystal materials
Noncentrosymmetric materials play a critical role in many important appl...
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Advances in Online Audio-Visual Meeting Transcription
This paper describes a system that generates speaker-annotated transcrip...
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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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Cross-Channel Intragroup Sparsity Neural Network
Modern deep neural network models generally build upon heavy over-parame...
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Non-local Recurrent Neural Memory for Supervised Sequence Modeling
Typical methods for supervised sequence modeling are built upon the recu...
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End-to-End Learning of Multi-scale Convolutional Neural Network for Stereo Matching
Deep neural networks have shown excellent performance in stereo matching...
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Adversarial Speaker Verification
The use of deep networks to extract embeddings for speaker recognition h...
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Conditional Teacher-Student Learning
The teacher-student (T/S) learning has been shown to be effective for a ...
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GSLAM: A General SLAM Framework and Benchmark
SLAM technology has recently seen many successes and attracted the atten...
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ComplexFace: a Multi-Representation Approach for Image Classification with Small Dataset
State-of-the-art face recognition algorithms are able to achieve good pe...
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Speaker Adaptation for End-to-End CTC Models
We propose two approaches for speaker adaptation in end-to-end (E2E) aut...
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Speaker-Invariant Training via Adversarial Learning
We propose a novel adversarial multi-task learning scheme, aiming at act...
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Cascaded multi-scale and multi-dimension convolutional neural network for stereo matching
Convolutional neural networks(CNN) have been shown to perform better tha...
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Extend the shallow part of Single Shot MultiBox Detector via Convolutional Neural Network
Single Shot MultiBox Detector (SSD) is one of the fastest algorithms in ...
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Energy Efficiency Analysis of Heterogeneous Cellular Networks With Extra Cell Range Expansion
The split control and user plane is key to the future heterogeneous cell...
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Kernalised Multi-resolution Convnet for Visual Tracking
Visual tracking is intrinsically a temporal problem. Discriminative Corr...
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End-to-End Attention based Text-Dependent Speaker Verification
A new type of End-to-End system for text-dependent speaker verification ...
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Efficient Convolutional Auto-Encoding via Random Convexification and Frequency-Domain Minimization
The omnipresence of deep learning architectures such as deep convolution...
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Binarized Neural Networks on the ImageNet Classification Task
We trained Binarized Neural Networks (BNNs) on the high resolution Image...
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