research
∙
05/22/2023
Causal-Based Supervision of Attention in Graph Neural Network: A Better and Simpler Choice towards Powerful Attention
In recent years, attention mechanisms have demonstrated significant pote...
share
research
∙
03/24/2023
Generalist: Decoupling Natural and Robust Generalization
Deep neural networks obtained by standard training have been constantly ...
research
∙
01/13/2023
Multitask Weakly Supervised Learning for Origin Destination Travel Time Estimation
Travel time estimation from GPS trips is of great importance to order du...
research
∙
11/28/2022
Easy Begun is Half Done: Spatial-Temporal Graph Modeling with ST-Curriculum Dropout
Spatial-temporal (ST) graph modeling, such as traffic speed forecasting ...
research
∙
07/02/2022
GOF-TTE: Generative Online Federated Learning Framework for Travel Time Estimation
Estimating the travel time of a path is an essential topic for intellige...
research
∙
06/21/2022
Route to Time and Time to Route: Travel Time Estimation from Sparse Trajectories
Due to the rapid development of Internet of Things (IoT) technologies, m...
research
∙
03/18/2022
Self-Ensemble Adversarial Training for Improved Robustness
Due to numerous breakthroughs in real-world applications brought by mach...
research
∙
03/11/2022
TrafPS: A Visual Analysis System Interpreting Traffic Prediction in Shapley
In recent years, deep learning approaches have been proved good performa...
research
∙
10/22/2021
High-performance Estimation of Jamming Covariance Matrix for IRS-aided Directional Modulation Network with a Malicious Attacker
In this paper, we investigate the anti-jamming problem of a directional ...
research
∙
10/15/2020
A Hamiltonian Monte Carlo Method for Probabilistic Adversarial Attack and Learning
Although deep convolutional neural networks (CNNs) have demonstrated rem...
research
∙
05/04/2020
Distributional Discrepancy: A Metric for Unconditional Text Generation
The goal of unconditional text generation is training a model with real ...
research
∙
04/08/2020
Transferable, Controllable, and Inconspicuous Adversarial Attacks on Person Re-identification With Deep Mis-Ranking
The success of DNNs has driven the extensive applications of person re-i...
research
∙
04/05/2020
A Discriminator Improves Unconditional Text Generation without Updating the Generator
We propose a novel mechanism to improve a text generator with a discrimi...
research
∙
04/05/2020
A Discriminator Improves Unconditional Text Generation without Updating the Generato
We propose a novel mechanism to improve a text generator with a discrimi...
research
∙
03/13/2020
Minor Constraint Disturbances for Deep Semi-supervised Learning
In high-dimensional data space, semi-supervised feature learning based o...
research
∙
06/12/2019
DCEF: Deep Collaborative Encoder Framework for Unsupervised Clustering
Collaborative representation is a popular feature learning approach, whi...
research
∙
12/05/2018
Self-learning Local Supervision Encoding Framework to Constrict and Disperse Feature Distribution for Clustering
To obtain suitable feature distribution is a difficult task in machine l...
research
∙
07/02/2018