research
∙
06/06/2023
ColdNAS: Search to Modulate for User Cold-Start Recommendation
Making personalized recommendation for cold-start users, who only have a...
share
research
∙
04/16/2023
Robust Cross-Modal Knowledge Distillation for Unconstrained Videos
Cross-modal distillation has been widely used to transfer knowledge acro...
research
∙
04/03/2023
Spectral Enhanced Rectangle Transformer for Hyperspectral Image Denoising
Denoising is a crucial step for hyperspectral image (HSI) applications. ...
research
∙
04/01/2023
Doubly Stochastic Models: Learning with Unbiased Label Noises and Inference Stability
Random label noises (or observational noises) widely exist in practical ...
research
∙
03/08/2023
Distributed and Deep Vertical Federated Learning with Big Data
In recent years, data are typically distributed in multiple organization...
research
∙
01/08/2023
Generative Time Series Forecasting with Diffusion, Denoise, and Disentanglement
Time series forecasting has been a widely explored task of great importa...
research
∙
01/05/2023
Towards Table-to-Text Generation with Pretrained Language Model: A Table Structure Understanding and Text Deliberating Approach
Although remarkable progress on the neural table-to-text methods has bee...
research
∙
01/05/2023
Towards Long-Term Time-Series Forecasting: Feature, Pattern, and Distribution
Long-term time-series forecasting (LTTF) has become a pressing demand in...
research
∙
12/20/2022
Temporal Output Discrepancy for Loss Estimation-based Active Learning
While deep learning succeeds in a wide range of tasks, it highly depends...
research
∙
11/26/2022
A Contextual Master-Slave Framework on Urban Region Graph for Urban Village Detection
Urban villages (UVs) refer to the underdeveloped informal settlement fal...
research
∙
11/24/2022
Multi-Job Intelligent Scheduling with Cross-Device Federated Learning
Recent years have witnessed a large amount of decentralized data in vari...
research
∙
11/13/2022
Textual Data Augmentation for Patient Outcomes Prediction
Deep learning models have demonstrated superior performance in various h...
research
∙
08/08/2022
SDWPF: A Dataset for Spatial Dynamic Wind Power Forecasting Challenge at KDD Cup 2022
The variability of wind power supply can present substantial challenges ...
research
∙
07/14/2022
Accelerated Federated Learning with Decoupled Adaptive Optimization
The federated learning (FL) framework enables edge clients to collaborat...
research
∙
07/14/2022
Large-scale Knowledge Distillation with Elastic Heterogeneous Computing Resources
Although more layers and more parameters generally improve the accuracy ...
research
∙
07/04/2022
Distilling Ensemble of Explanations for Weakly-Supervised Pre-Training of Image Segmentation Models
While fine-tuning pre-trained networks has become a popular way to train...
research
∙
07/04/2022
Pareto Optimization for Active Learning under Out-of-Distribution Data Scenarios
Pool-based Active Learning (AL) has achieved great success in minimizing...
research
∙
06/21/2022
FedHiSyn: A Hierarchical Synchronous Federated Learning Framework for Resource and Data Heterogeneity
Federated Learning (FL) enables training a global model without sharing ...
research
∙
06/12/2022
Fine-tuning Pre-trained Language Models with Noise Stability Regularization
The advent of large-scale pre-trained language models has contributed gr...
research
∙
06/02/2022
A Survey on Video Action Recognition in Sports: Datasets, Methods and Applications
To understand human behaviors, action recognition based on videos is a c...
research
∙
05/26/2022
Deep Active Learning with Noise Stability
Uncertainty estimation for unlabeled data is crucial to active learning....
research
∙
04/25/2022
FedDUAP: Federated Learning with Dynamic Update and Adaptive Pruning Using Shared Data on the Server
Despite achieving remarkable performance, Federated Learning (FL) suffer...
research
∙
04/06/2022
Structure-aware Protein Self-supervised Learning
Protein representation learning methods have shown great potential to yi...
research
∙
03/25/2022
A Comparative Survey of Deep Active Learning
Active Learning (AL) is a set of techniques for reducing labeling cost b...
research
∙
03/09/2022
Inadequately Pre-trained Models are Better Feature Extractors
Pre-training has been a popular learning paradigm in deep learning era, ...
research
∙
03/02/2022
Learning Moving-Object Tracking with FMCW LiDAR
In this paper, we propose a learning-based moving-object tracking method...
research
∙
12/19/2021
Predicting Patient Readmission Risk from Medical Text via Knowledge Graph Enhanced Multiview Graph Convolution
Unplanned intensive care unit (ICU) readmission rate is an important met...
research
∙
12/15/2021
Data Placement for Multi-Tenant Data Federation on the Cloud
Due to privacy concerns of users and law enforcement in data security an...
research
∙
12/11/2021
Efficient Device Scheduling with Multi-Job Federated Learning
Recent years have witnessed a large amount of decentralized data in mult...
research
∙
11/20/2021
HeterPS: Distributed Deep Learning With Reinforcement Learning Based Scheduling in Heterogeneous Environments
Deep neural networks (DNNs) exploit many layers and a large number of pa...
research
∙
10/30/2021
Hierarchical Heterogeneous Graph Representation Learning for Short Text Classification
Short text classification is a fundamental task in natural language proc...
research
∙
10/29/2021
Generalized Data Weighting via Class-level Gradient Manipulation
Label noise and class imbalance are two major issues coexisting in real-...
research
∙
10/24/2021
SenseMag: Enabling Low-Cost Traffic Monitoring using Non-invasive Magnetic Sensing
The operation and management of intelligent transportation systems (ITS)...
research
∙
10/07/2021
AgFlow: Fast Model Selection of Penalized PCA via Implicit Regularization Effects of Gradient Flow
Principal component analysis (PCA) has been widely used as an effective ...
research
∙
10/06/2021
Exploring the Common Principal Subspace of Deep Features in Neural Networks
We find that different Deep Neural Networks (DNNs) trained with the same...
research
∙
09/24/2021
GeomGCL: Geometric Graph Contrastive Learning for Molecular Property Prediction
Recently many efforts have been devoted to applying graph neural network...
research
∙
09/02/2021
Cross-Model Consensus of Explanations and Beyond for Image Classification Models: An Empirical Study
Existing interpretation algorithms have found that, even deep models mak...
research
∙
07/29/2021
Semi-Supervised Active Learning with Temporal Output Discrepancy
While deep learning succeeds in a wide range of tasks, it highly depends...
research
∙
07/21/2021
Structure-aware Interactive Graph Neural Networks for the Prediction of Protein-Ligand Binding Affinity
Drug discovery often relies on the successful prediction of protein-liga...
research
∙
07/16/2021
Property-aware Adaptive Relation Networks for Molecular Property Prediction
Molecular property prediction plays a fundamental role in drug discovery...
research
∙
07/12/2021
MugRep: A Multi-Task Hierarchical Graph Representation Learning Framework for Real Estate Appraisal
Real estate appraisal refers to the process of developing an unbiased op...
research
∙
07/10/2021
Noise Stability Regularization for Improving BERT Fine-tuning
Fine-tuning pre-trained language models such as BERT has become a common...
research
∙
06/25/2021
Feature Grouping and Sparse Principal Component Analysis
Sparse Principal Component Analysis (SPCA) is widely used in data proces...
research
∙
06/25/2021
Robust Matrix Factorization with Grouping Effect
Although many techniques have been applied to matrix factorization (MF),...
research
∙
06/03/2021
JIZHI: A Fast and Cost-Effective Model-As-A-Service System for Web-Scale Online Inference at Baidu
In modern internet industries, deep learning based recommender systems h...
research
∙
04/29/2021
From Distributed Machine Learning to Federated Learning: A Survey
In recent years, data and computing resources are typically distributed ...
research
∙
04/19/2021
BM-NAS: Bilevel Multimodal Neural Architecture Search
Deep neural networks (DNNs) have shown superior performances on various ...
research
∙
03/31/2021
ArtFlow: Unbiased Image Style Transfer via Reversible Neural Flows
Universal style transfer retains styles from reference images in content...
research
∙
03/25/2021
SMILE: Self-Distilled MIxup for Efficient Transfer LEarning
To improve the performance of deep learning, mixup has been proposed to ...
research
∙
03/19/2021