research
∙
09/08/2023
A Long-Tail Friendly Representation Framework for Artist and Music Similarity
The investigation of the similarity between artists and music is crucial...
share
research
∙
07/11/2023
RoPDA: Robust Prompt-based Data Augmentation for Low-Resource Named Entity Recognition
Data augmentation has been widely used in low-resource NER tasks to tack...
research
∙
05/27/2023
GIMM: InfoMin-Max for Automated Graph Contrastive Learning
Graph contrastive learning (GCL) shows great potential in unsupervised g...
research
∙
02/18/2023
Attribute-Specific Manipulation Based on Layer-Wise Channels
Image manipulation on the latent space of the pre-trained StyleGAN can c...
research
∙
11/29/2022
AdvMask: A Sparse Adversarial Attack Based Data Augmentation Method for Image Classification
Data augmentation is a widely used technique for enhancing the generaliz...
research
∙
07/21/2022
AugRmixAT: A Data Processing and Training Method for Improving Multiple Robustness and Generalization Performance
Deep neural networks are powerful, but they also have shortcomings such ...
research
∙
06/25/2022
RSTAM: An Effective Black-Box Impersonation Attack on Face Recognition using a Mobile and Compact Printer
Face recognition has achieved considerable progress in recent years than...
research
∙
06/21/2022
Review Neural Networks about Image Transformation Based on IGC Learning Framework with Annotated Information
Image transformation, a class of vision and graphics problems whose goal...
research
∙
05/18/2022
RandomMix: A mixed sample data augmentation method with multiple mixed modes
Data augmentation is a very practical technique that can be used to impr...
research
∙
04/19/2022
Image Data Augmentation for Deep Learning: A Survey
Deep learning has achieved remarkable results in many computer vision ta...
research
∙
03/18/2022
AutoAdversary: A Pixel Pruning Method for Sparse Adversarial Attack
Deep neural networks (DNNs) have been proven to be vulnerable to adversa...
research
∙
12/05/2021
Inf-CP: A Reliable Channel Pruning based on Channel Influence
One of the most effective methods of channel pruning is to trim on the b...
research
∙
06/13/2021
SASICM A Multi-Task Benchmark For Subtext Recognition
Subtext is a kind of deep semantics which can be acquired after one or m...
research
∙
05/07/2021
Faster and Simpler Siamese Network for Single Object Tracking
Single object tracking (SOT) is currently one of the most important task...
research
∙
02/06/2021
IC Networks: Remodeling the Basic Unit for Convolutional Neural Networks
Convolutional neural network (CNN) is a class of artificial neural netwo...
research
∙
11/23/2020
IC Neuron: An Efficient Unit to Construct Neural Networks
As a popular machine learning method, neural networks can be used to sol...
research
∙
02/28/2020
Temporal Convolutional Attention-based Network For Sequence Modeling
With the development of feed-forward models, the default model for seque...
research
∙
11/19/2019
Inter-layer Collision Networks
Deeper neural networks are hard to train. Inspired by the elastic collis...
research
∙
11/18/2019
Pairwise Interactive Graph Attention Network for Context-Aware Recommendation
Context-aware recommender systems (CARS), which consider rich side infor...
research
∙
05/29/2019
Super Interaction Neural Network
Recent studies have demonstrated that the convolutional networks heavily...
research
∙
05/20/2019
Label Mapping Neural Networks with Response Consolidation for Class Incremental Learning
Class incremental learning refers to a special multi-class classificatio...
research
∙
04/02/2019
