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Hybrid Quantum-Classical Graph Convolutional Network
The high energy physics (HEP) community has a long history of dealing wi...
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Theory-based Habit Modeling for Enhancing Behavior Prediction
Psychological theories of habit posit that when a strong habit is formed...
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Quantum Convolutional Neural Networks for High Energy Physics Data Analysis
This work presents a quantum convolutional neural network (QCNN) for the...
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Partial Gromov-Wasserstein Learning for Partial Graph Matching
Graph matching finds the correspondence of nodes across two graphs and i...
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SAR-Net: A End-to-End Deep Speech Accent Recognition Network
This paper proposes a end-to-end deep network to recognize kinds of acce...
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Improving Prosody Modelling with Cross-Utterance BERT Embeddings for End-to-end Speech Synthesis
Despite prosody is related to the linguistic information up to the disco...
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Emotion recognition by fusing time synchronous and time asynchronous representations
In this paper, a novel two-branch neural network model structure is prop...
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Multi-Slot Over-The-Air Computation in Fading Channels
IoT systems typically involve separate data collection and processing, a...
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Combination of Deep Speaker Embeddings for Diarisation
Recently, significant progress has been made in speaker diarisation afte...
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Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data
Fine-tuned pre-trained language models can suffer from severe miscalibra...
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Probing and Fine-tuning Reading Comprehension Models for Few-shot Event Extraction
We study the problem of event extraction from text data, which requires ...
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COSEA: Convolutional Code Search with Layer-wise Attention
Semantic code search, which aims to retrieve code snippets relevant to a...
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A two-stage fourth-order gas-kinetic CPR method for the Navier-Stokes equations on triangular meshes
A highly efficient gas-kinetic scheme with fourth-order accuracy in both...
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Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach
Fine-tuned pre-trained language models (LMs) achieve enormous success in...
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Text Classification Using Label Names Only: A Language Model Self-Training Approach
Current text classification methods typically require a good number of h...
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Denoising Multi-Source Weak Supervision for Neural Text Classification
We study the problem of learning neural text classifiers without using a...
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SeqMix: Augmenting Active Sequence Labeling via Sequence Mixup
Active learning is an important technique for low-resource sequence labe...
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A Spherical Hidden Markov Model for Semantics-Rich Human Mobility Modeling
We study the problem of modeling human mobility from semantic trace data...
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Transformer-Based Neural Text Generation with Syntactic Guidance
We study the problem of using (partial) constituency parse trees as synt...
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SumGNN: Multi-typed Drug Interaction Prediction via Efficient Knowledge Graph Summarization
Thanks to the increasing availability of drug-drug interactions (DDI) da...
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Exploring the Hierarchy in Relation Labels for Scene Graph Generation
By assigning each relationship a single label, current approaches formul...
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Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization
Graph neural networks (GNNs) have been shown with superior performance i...
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Continuous Color Transfer
Color transfer, which plays a key role in image editing, has attracted n...
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SDE-Net: Equipping Deep Neural Networks with Uncertainty Estimates
Uncertainty quantification is a fundamental yet unsolved problem for dee...
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Reconfigurable Intelligent Surfaces Aided Multi-Cell NOMA Networks: A Stochastic Geometry Model
By activating blocked users and altering successive interference cancell...
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Neural Kalman Filtering for Speech Enhancement
Statistical signal processing based speech enhancement methods adopt exp...
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Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding
Mining a set of meaningful topics organized into a hierarchy is intuitiv...
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Deep Patch-based Human Segmentation
3D human segmentation has seen noticeable progress in re-cent years. It,...
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BOND: BERT-Assisted Open-Domain Named Entity Recognition with Distant Supervision
We study the open-domain named entity recognition (NER) problem under di...
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Semi-Grant-Free NOMA: A Stochastic Geometry Model
Grant-free (GF) transmission holds promise in terms of low latency commu...
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Downlink Analysis for Reconfigurable Intelligent Surfaces Aided NOMA Networks
By activating blocked users and altering successive interference cancell...
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Wasserstein Autoregressive Models for Density Time Series
Data consisting of time-indexed distributions of cross-sectional or intr...
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Partially-Typed NER Datasets Integration: Connecting Practice to Theory
While typical named entity recognition (NER) models require the training...
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paper2repo: GitHub Repository Recommendation for Academic Papers
GitHub has become a popular social application platform, where a large n...
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Simulating Noisy Quantum Circuits with Matrix Product Density Operators
Simulating quantum circuits with classical computers requires resources ...
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SHX: Search History Driven Crossover for Real-Coded Genetic Algorithm
In evolutionary algorithms, genetic operators iteratively generate new o...
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Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection
Neural Architecture Search (NAS) has achieved great success in image cla...
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Performance Analysis of Millimeter Wave Wireless Power Transfer With Imperfect Beam Alignment
In this paper, the impact of imperfect beam alignment (IBA) on millimete...
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Heterogeneous Millimeter Wave Wireless Power Transfer With Poisson Cluster Processes
In this paper, we analyze the energy coverage performance of heterogeneo...
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G2MF-WA: Geometric Multi-Model Fitting with Weakly Annotated Data
In this paper we attempt to address the problem of geometric multi-model...
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Evolution of Ethereum: A Temporal Graph Perspective
Ethereum is one of the most popular blockchain systems that supports mor...
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Energy-Efficient MIMO Multiuser Systems: Nash Equilibrium Analysis
In this paper, an energy efficiency (EE) game in a MIMO multiple access ...
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Multimodal Intelligence: Representation Learning, Information Fusion, and Applications
Deep learning has revolutionized speech recognition, image recognition, ...
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Improved Large-margin Softmax Loss for Speaker Diarisation
Speaker diarisation systems nowadays use embeddings generated from speec...
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Spherical Text Embedding
Unsupervised text embedding has shown great power in a wide range of NLP...
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Beyond Human Parts: Dual Part-Aligned Representations for Person Re-Identification
Person re-identification is a challenging task due to various complex fa...
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Recent Advances on HEVC Inter-frame Coding: From Optimization to Implementation and Beyond
High Efficiency Video Coding (HEVC) has doubled the video compression ra...
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Discriminative Neural Clustering for Speaker Diarisation
This paper proposes a novel method for supervised data clustering. The c...
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Efficient Projection-Free Online Methods with Stochastic Recursive Gradient
This paper focuses on projection-free methods for solving smooth Online ...
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Stochastic Recursive Gradient-Based Methods for Projection-Free Online Learning
This paper focuses on projection-free methods for solving smooth Online ...
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