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08/02/2023
Virtual histological staining of unlabeled autopsy tissue
Histological examination is a crucial step in an autopsy; however, the t...
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07/22/2023
Spatial Self-Distillation for Object Detection with Inaccurate Bounding Boxes
Object detection via inaccurate bounding boxes supervision has boosted a...
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07/18/2023
On-the-fly machine learning for parametrization of the effective Hamiltonian
The first-principles-based effective Hamiltonian is widely used to predi...
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06/23/2023
CeBed: A Benchmark for Deep Data-Driven OFDM Channel Estimation
Deep learning has been extensively used in wireless communication proble...
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06/19/2023
An Error Correction Mid-term Electricity Load Forecasting Model Based on Seasonal Decomposition
Mid-term electricity load forecasting (LF) plays a critical role in powe...
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05/24/2023
Lightweight Learner for Shared Knowledge Lifelong Learning
In Lifelong Learning (LL), agents continually learn as they encounter ne...
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05/23/2023
Beyond Shared Vocabulary: Increasing Representational Word Similarities across Languages for Multilingual Machine Translation
Using a shared vocabulary is common practice in Multilingual Neural Mach...
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05/18/2023
ZeroPrompt: Streaming Acoustic Encoders are Zero-Shot Masked LMs
In this paper, we present ZeroPrompt (Figure 1-(a)) and the correspondin...
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05/10/2023
FedDWA: Personalized Federated Learning with Online Weight Adjustment
Different from conventional federated learning, personalized federated l...
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05/09/2023
BARA: Efficient Incentive Mechanism with Online Reward Budget Allocation in Cross-Silo Federated Learning
Federated learning (FL) is a prospective distributed machine learning fr...
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04/11/2023
Communication Efficient DNN Partitioning-based Federated Learning
Efficiently running federated learning (FL) on resource-constrained devi...
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03/27/2023
KPEval: Towards Fine-grained Semantic-based Evaluation of Keyphrase Extraction and Generation Systems
Despite the significant advancements in keyphrase extraction and keyphra...
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03/25/2023
Edge-Based Video Analytics: A Survey
Edge computing has been getting a momentum with ever-increasing data at ...
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03/23/2023
Mixed-Variable PSO with Fairness on Multi-Objective Field Data Replication in Wireless Networks
Digital twins have shown a great potential in supporting the development...
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03/22/2023
Policy Reuse for Communication Load Balancing in Unseen Traffic Scenarios
With the continuous growth in communication network complexity and traff...
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03/22/2023
Communication Load Balancing via Efficient Inverse Reinforcement Learning
Communication load balancing aims to balance the load between different ...
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03/22/2023
From Wide to Deep: Dimension Lifting Network for Parameter-efficient Knowledge Graph Embedding
Knowledge graph embedding (KGE) that maps entities and relations into ve...
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03/14/2023
Multi-agent Attention Actor-Critic Algorithm for Load Balancing in Cellular Networks
In cellular networks, User Equipment (UE) handoff from one Base Station ...
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03/11/2023
Anomaly Detection with Ensemble of Encoder and Decoder
Hacking and false data injection from adversaries can threaten power gri...
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02/25/2023
Online Sparse Streaming Feature Selection Using Adapted Classification
Traditional feature selections need to know the feature space before lea...
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02/14/2023
Perfect divisibility and coloring of some fork-free graphs
A hole is an induced cycle of length at least four, and an odd hole is a...
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02/07/2023
Adaptive Aggregation for Safety-Critical Control
Safety has been recognized as the central obstacle to preventing the use...
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02/03/2023
Self-Supervised Transformer Architecture for Change Detection in Radio Access Networks
Radio Access Networks (RANs) for telecommunications represent large aggl...
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02/01/2023
Task Placement and Resource Allocation for Edge Machine Learning: A GNN-based Multi-Agent Reinforcement Learning Paradigm
Machine learning (ML) tasks are one of the major workloads in today's ed...
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12/20/2022
Original or Translated? On the Use of Parallel Data for Translation Quality Estimation
Machine Translation Quality Estimation (QE) is the task of evaluating tr...
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12/20/2022
Pre-trained Language Models for Keyphrase Generation: A Thorough Empirical Study
Neural models that do not rely on pre-training have excelled in the keyp...
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12/20/2022
Multi-Metric AutoRec for High Dimensional and Sparse User Behavior Data Prediction
User behavior data produced during interaction with massive items in the...
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12/15/2022
Relightable Neural Human Assets from Multi-view Gradient Illuminations
Human modeling and relighting are two fundamental problems in computer v...
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11/16/2022
Dual Class-Aware Contrastive Federated Semi-Supervised Learning
Federated semi-supervised learning (FSSL), facilitates labeled clients a...
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11/02/2022
Fast-U2++: Fast and Accurate End-to-End Speech Recognition in Joint CTC/Attention Frames
Recently, the unified streaming and non-streaming two-pass (U2/U2++) end...
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11/01/2022
TrimTail: Low-Latency Streaming ASR with Simple but Effective Spectrogram-Level Length Penalty
In this paper, we present TrimTail, a simple but effective emission regu...
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10/31/2022
FusionFormer: Fusing Operations in Transformer for Efficient Streaming Speech Recognition
The recently proposed Conformer architecture which combines convolution ...
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10/23/2022
MetaEMS: A Meta Reinforcement Learning-based Control Framework for Building Energy Management System
The building sector has been recognized as one of the primary sectors fo...
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08/25/2022
DPAUC: Differentially Private AUC Computation in Federated Learning
Federated learning (FL) has gained significant attention recently as a p...
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08/23/2022
FedMCSA: Personalized Federated Learning via Model Components Self-Attention
Federated learning (FL) facilitates multiple clients to jointly train a ...
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08/18/2022
FedComm: Understanding Communication Protocols for Edge-based Federated Learning
Federated learning (FL) trains machine learning (ML) models on devices u...
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08/16/2022
A Latent Feature Analysis-based Approach for Spatio-Temporal Traffic Data Recovery
Missing data is an inevitable and common problem in data-driven intellig...
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08/13/2022
An Adam-adjusting-antennae BAS Algorithm for Refining Latent Factors
Extracting the latent information in high-dimensional and incomplete mat...
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06/06/2022
HIFI-Net: A Novel Network for Enhancement to Underwater Images
A novel network for enhancement to underwater images is proposed in this...
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05/27/2022
Architecture-Agnostic Masked Image Modeling – From ViT back to CNN
Masked image modeling (MIM), an emerging self-supervised pre-training me...
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05/26/2022
Denial-of-Service Attacks on Learned Image Compression
Deep learning techniques have shown promising results in image compressi...
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05/24/2022
Differentially Private AUC Computation in Vertical Federated Learning
Federated learning has gained great attention recently as a privacy-enha...
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05/19/2022
Time Series Anomaly Detection via Reinforcement Learning-Based Model Selection
Time series anomaly detection is of critical importance for the reliable...
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05/01/2022
An Early Fault Detection Method of Rotating Machines Based on Multiple Feature Fusion with Stacking Architecture
Early fault detection (EFD) of rotating machines is important to decreas...
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04/27/2022
Meta-Learning Based Early Fault Detection for Rolling Bearings via Few-Shot Anomaly Detection
Early fault detection (EFD) of rolling bearings can recognize slight dev...
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04/16/2022
A Multi-Metric Latent Factor Model for Analyzing High-Dimensional and Sparse data
High-dimensional and sparse (HiDS) matrices are omnipresent in a variety...
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04/16/2022
Graph-incorporated Latent Factor Analysis for High-dimensional and Sparse Matrices
A High-dimensional and sparse (HiDS) matrix is frequently encountered in...
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04/02/2022
A Differential Evolution-Enhanced Latent Factor Analysis Model for High-dimensional and Sparse Data
High-dimensional and sparse (HiDS) matrices are frequently adopted to de...
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03/29/2022
WeNet 2.0: More Productive End-to-End Speech Recognition Toolkit
Recently, we made available WeNet, a production-oriented end-to-end spee...
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03/25/2022
