research
∙
07/18/2023
ESMC: Entire Space Multi-Task Model for Post-Click Conversion Rate via Parameter Constraint
Large-scale online recommender system spreads all over the Internet bein...
share
research
∙
07/09/2023
Restricted Generative Projection for One-Class Classification and Anomaly Detection
We present a simple framework for one-class classification and anomaly d...
research
∙
02/13/2023
Deep Graph-Level Orthogonal Hypersphere Compression for Anomaly Detection
Graph-level anomaly detection aims to identify anomalous graphs from a c...
research
∙
02/05/2023
Deep Graph-Level Clustering Using Pseudo-Label-Guided Mutual Information Maximization Network
In this work, we study the problem of partitioning a set of graphs into ...
research
∙
11/02/2022
SufrinNet: Toward Sufficient Cross-View Interaction for Stereo Image Enhancement in The Dark
Low-light stereo image enhancement (LLSIE) is a relatively new task to e...
research
∙
07/25/2022
Laplacian-based Cluster-Contractive t-SNE for High Dimensional Data Visualization
Dimensionality reduction techniques aim at representing high-dimensional...
research
∙
06/09/2022
Unsupervised Deep Discriminant Analysis Based Clustering
This work presents an unsupervised deep discriminant analysis for cluste...
research
∙
06/06/2022
Perturbation Learning Based Anomaly Detection
This paper presents a simple yet effective method for anomaly detection....
research
∙
04/30/2022
ClusterQ: Semantic Feature Distribution Alignment for Data-Free Quantization
Network quantization has emerged as a promising method for model compres...
research
∙
07/23/2021
EGGS: Eigen-Gap Guided Search Making Subspace Clustering Easy
The performance of spectral clustering heavily relies on the quality of ...
research
∙
12/08/2020
k-Factorization Subspace Clustering
Subspace clustering (SC) aims to cluster data lying in a union of low-di...
research
∙
12/07/2020
Low-Rank Tensor Recovery with Euclidean-Norm-Induced Schatten-p Quasi-Norm Regularization
The nuclear norm and Schatten-p quasi-norm of a matrix are popular rank ...
research
∙
06/29/2020
kFW: A Frank-Wolfe style algorithm with stronger subproblem oracles
This paper proposes a new variant of Frank-Wolfe (FW), called kFW. Stand...
research
∙
06/07/2020
Efficient AutoML Pipeline Search with Matrix and Tensor Factorization
Data scientists seeking a good supervised learning model on a new datase...
research
∙
05/04/2020
Robust Non-Linear Matrix Factorization for Dictionary Learning, Denoising, and Clustering
Low dimensional nonlinear structure abounds in datasets across computer ...
research
∙
03/06/2020
Centrality Graph Convolutional Networks for Skeleton-based Action Recognition
The topological structure of skeleton data plays a significant role in h...
research
∙
02/20/2020
Online high rank matrix completion
Recent advances in matrix completion enable data imputation in full-rank...
research
∙
12/15/2019
DerainCycleGAN: An Attention-guided Unsupervised Benchmark for Single Image Deraining and Rainmaking
Single image deraining (SID) is an important and challenging topic in em...
research
∙
12/15/2019
Polynomial Matrix Completion for Missing Data Imputation and Transductive Learning
This paper develops new methods to recover the missing entries of a high...
research
∙
11/13/2019
Factor Group-Sparse Regularization for Efficient Low-Rank Matrix Recovery
This paper develops a new class of nonconvex regularizers for low-rank m...
research
∙
02/28/2018