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Exploring Text-transformers in AAAI 2021 Shared Task: COVID-19 Fake News Detection in English
In this paper, we describe our system for the AAAI 2021 shared task of C...
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Multimodal Topic Learning for Video Recommendation
Facilitated by deep neural networks, video recommendation systems have m...
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Unsupervised Cross-lingual Adaptation for Sequence Tagging and Beyond
Cross-lingual adaptation with multilingual pre-trained language models (...
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Reconstruction of Quantitative Susceptibility Maps from Phase of Susceptibility Weighted Imaging with Cross-Connected Ψ-Net
Quantitative Susceptibility Mapping (QSM) is a new phase-based technique...
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Online Knowledge Distillation via Multi-branch Diversity Enhancement
Knowledge distillation is an effective method to transfer the knowledge ...
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Label-Leaks: Membership Inference Attack with Label
Machine learning (ML) has made tremendous progress during the past decad...
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Research on multi-dimensional end-to-end phrase recognition algorithm based on background knowledge
At present, the deep end-to-end method based on supervised learning is u...
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Research on Annotation Rules and Recognition Algorithm Based on Phrase Window
At present, most Natural Language Processing technology is based on the ...
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Exploiting Visual Semantic Reasoning for Video-Text Retrieval
Video retrieval is a challenging research topic bridging the vision and ...
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AP20-OLR Challenge: Three Tasks and Their Baselines
This paper introduces the fifth oriental language recognition (OLR) chal...
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Indexing Metric Spaces for Exact Similarity Search
With the continued digitalization of societal processes, we are seeing a...
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Rate Splitting for Multi-Antenna Downlink: Precoder Design and Practical Implementation
Rate splitting (RS) is a potentially powerful and flexible technique for...
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Multi-Agent Deep Reinforcement Learning based Spectrum Allocation for D2D Underlay Communications
Device-to-device (D2D) communication underlay cellular networks is a pro...
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AIM 2019 Challenge on Constrained Super-Resolution: Methods and Results
This paper reviews the AIM 2019 challenge on constrained example-based s...
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Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning
Joint extraction of aspects and sentiments can be effectively formulated...
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Non-uniform Berry-Esseen Bound by Unbounded Exchangeable Pair Approach
Since Stein presented his ideas in the seminal paper s1, there have been...
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Hybrid LBM-FVM and LBM-MCM Methods for Fluid Flow and Heat Transfer Simulation
The fluid flow and heat transfer problems encountered in industry applic...
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SVGD: A Virtual Gradients Descent Method for Stochastic Optimization
Inspired by dynamic programming, we propose Stochastic Virtual Gradient ...
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Towards Efficient Neural Networks On-a-chip: Joint Hardware-Algorithm Approaches
Machine learning algorithms have made significant advances in many appli...
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CGaP: Continuous Growth and Pruning for Efficient Deep Learning
Today a canonical approach to reduce the computation cost of Deep Neural...
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Efficient Network Construction through Structural Plasticity
Deep Neural Networks (DNNs) on hardware is facing excessive computation ...
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SynC: A Unified Framework for Generating Synthetic Population with Gaussian Copula
Synthetic population generation is the process of combining multiple soc...
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A Multi-Agent Deep Reinforcement Learning based Spectrum Allocation Framework for D2D Communications
Device-to-device (D2D) communication has been recognized as a promising ...
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A Multi-Agent Deep Reinforcement Learning based Spectrum Allocation Framework for D2D Underlay Communications
Device-to-device (D2D) underlay communication improves spectrum efficien...
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Lightweight Image Super-Resolution with Adaptive Weighted Learning Network
Deep learning has been successfully applied to the single-image super-re...
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Learning Symmetric and Asymmetric Steganography via Adversarial Training
Steganography refers to the art of concealing secret messages within mul...
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DeepStego: Protecting Intellectual Property of Deep Neural Networks by Steganography
Deep Neural Networks (DNNs) has shown great success in various challengi...
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PyOD: A Python Toolbox for Scalable Outlier Detection
PyOD is an open-source Python toolbox for performing scalable outlier de...
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LSCP: Locally Selective Combination in Parallel Outlier Ensembles
In unsupervised outlier ensembles, the absence of ground truth makes the...
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Exploiting Coarse-to-Fine Task Transfer for Aspect-level Sentiment Classification
Aspect-level sentiment classification (ASC) aims at identifying sentimen...
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Linearly Precoded Rate Splitting: Optimality and Non-Optimality for MIMO Broadcast Channels
In this paper, we consider a general K-user multiple-input multiple-outp...
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Exploiting Location Information to Enhance Throughput in Downlink V2I Systems
Vehicle-to-Infrastructure (V2I) technology, combined with millimeter wav...
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Object-Oriented Sokoban Solver: A Serious Game Project for OOAD and AI Education
Serious games are beneficial for education in various computer science a...
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DoKnowMe: Towards a Domain Knowledge-driven Methodology for Performance Evaluation
Software engineering considers performance evaluation to be one of the k...
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Boosting Metrics for Cloud Services Evaluation -- The Last Mile of Using Benchmark Suites
Benchmark suites are significant for evaluating various aspects of Cloud...
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On Evaluating Commercial Cloud Services: A Systematic Review
Background: Cloud Computing is increasingly booming in industry with man...
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Using a Predator-Prey Model to Explain Variations of Cloud Spot Price
The spot pricing scheme has been considered to be resource-efficient for...
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On a Feedback Control-based Mechanism of Bidding for Cloud Spot Service
As a cost-effective option for Cloud consumers, spot service has been co...
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Early Observations on Performance of Google Compute Engine for Scientific Computing
Although Cloud computing emerged for business applications in industry, ...
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