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08/02/2023
Integrating Homomorphic Encryption and Trusted Execution Technology for Autonomous and Confidential Model Refining in Cloud
With the popularity of cloud computing and machine learning, it has been...
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05/15/2023
Parameter-Efficient Fine-Tuning with Layer Pruning on Free-Text Sequence-to-Sequence modeling
The increasing size of language models raises great research interests i...
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05/03/2023
Cross-Stream Contrastive Learning for Self-Supervised Skeleton-Based Action Recognition
Self-supervised skeleton-based action recognition enjoys a rapid growth ...
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02/17/2023
Cross-Domain Label Propagation for Domain Adaptation with Discriminative Graph Self-Learning
Domain adaptation manages to transfer the knowledge of well-labeled sour...
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02/08/2023
Leveraging Summary Guidance on Medical Report Summarization
This study presents three deidentified large medical text datasets, name...
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10/09/2022
Constrained Maximum Cross-Domain Likelihood for Domain Generalization
As a recent noticeable topic, domain generalization aims to learn a gene...
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09/17/2022
Mitigating Both Covariate and Conditional Shift for Domain Generalization
Domain generalization (DG) aims to learn a model on several source domai...
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08/31/2022
Active Learning with Effective Scoring Functions for Semi-Supervised Temporal Action Localization
Temporal Action Localization (TAL) aims to predict both action category ...
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08/31/2022
Attentive pooling for Group Activity Recognition
In group activity recognition, hierarchical framework is widely adopted ...
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06/20/2022
Variational Distillation for Multi-View Learning
Information Bottleneck (IB) based multi-view learning provides an inform...
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06/10/2022
Deep Multi-view Semi-supervised Clustering with Sample Pairwise Constraints
Multi-view clustering has attracted much attention thanks to the capacit...
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06/06/2022
Towards Practical Privacy-Preserving Solution for Outsourced Neural Network Inference
When neural network model and data are outsourced to cloud server for in...
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02/12/2022
Improving Fraud detection via Hierarchical Attention-based Graph Neural Network
Graph neural networks (GNN) have emerged as a powerful tool for fraud de...
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02/08/2022
Differentiable N-gram Objective on Abstractive Summarization
ROUGE is a standard automatic evaluation metric based on n-grams for seq...
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12/08/2021
Learnable Faster Kernel-PCA for Nonlinear Fault Detection: Deep Autoencoder-Based Realization
Kernel principal component analysis (KPCA) is a well-recognized nonlinea...
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11/04/2021
Multi-scale 2D Representation Learning for weakly-supervised moment retrieval
Video moment retrieval aims to search the moment most relevant to a give...
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11/04/2021
TEE-based Selective Testing of Local Workers in Federated Learning Systems
This paper considers a federated learning system composed of a central c...
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05/24/2021
Towards Book Cover Design via Layout Graphs
Book covers are intentionally designed and provide an introduction to a ...
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03/11/2021
Optimizing Fund Allocation for Game-based Verifiable Computation Outsourcing
This paper considers the setting where a cloud server services a static ...
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12/16/2020
Solving the Travelling Thief Problem based on Item Selection Weight and Reverse Order Allocation
The Travelling Thief Problem (TTP) is a challenging combinatorial optimi...
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06/15/2020
Robust Locality-Aware Regression for Labeled Data Classification
With the dramatic increase of dimensions in the data representation, ext...
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03/20/2020
Domain Adaptation by Class Centroid Matching and Local Manifold Self-Learning
Domain adaptation has been a fundamental technology for transferring kno...
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08/20/2019
Consistent Scale Normalization for Object Recognition
Scale variation remains a challenge problem for object detection. Common...
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07/03/2018
Industrial Big Data Analytics: Challenges, Methodologies, and Applications
While manufacturers have been generating highly distributed data from va...
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07/01/2018
Multi-Task Generative Adversarial Nets with Shared Memory for Cross-Domain Coordination Control
Generating sequential decision process from huge amounts of measured pro...
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05/25/2018
Finite Sample Analysis of LSTD with Random Projections and Eligibility Traces
Policy evaluation with linear function approximation is an important pro...
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09/27/2017
Effective Image Retrieval via Multilinear Multi-index Fusion
Multi-index fusion has demonstrated impressive performances in retrieval...
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09/15/2017
Robust Kernelized Multi-View Self-Representations for Clustering by Tensor Multi-Rank Minimization
Most recently, tensor-SVD is implemented on multi-view self-representati...
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05/02/2017
Lesion detection and Grading of Diabetic Retinopathy via Two-stages Deep Convolutional Neural Networks
We propose an automatic diabetic retinopathy (DR) analysis algorithm bas...
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10/23/2016
On Unifying Multi-View Self-Representations for Clustering by Tensor Multi-Rank Minimization
In this paper, we address the multi-view subspace clustering problem. Ou...
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12/03/2015
Weighted Schatten p-Norm Minimization for Image Denoising and Background Subtraction
Low rank matrix approximation (LRMA), which aims to recover the underlyi...
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09/07/2015
A New Low-Rank Tensor Model for Video Completion
In this paper, we propose a new low-rank tensor model based on the circu...
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01/17/2014