research
∙
08/09/2023
A Unified Interactive Model Evaluation for Classification, Object Detection, and Instance Segmentation in Computer Vision
Existing model evaluation tools mainly focus on evaluating classificatio...
share
research
∙
08/06/2023
Local Consensus Enhanced Siamese Network with Reciprocal Loss for Two-view Correspondence Learning
Recent studies of two-view correspondence learning usually establish an ...
research
∙
07/27/2023
GenCo: An Auxiliary Generator from Contrastive Learning for Enhanced Few-Shot Learning in Remote Sensing
Classifying and segmenting patterns from a limited number of examples is...
research
∙
07/22/2023
Hallucination Improves the Performance of Unsupervised Visual Representation Learning
Contrastive learning models based on Siamese structure have demonstrated...
research
∙
06/01/2023
ModelObfuscator: Obfuscating Model Information to Protect Deployed ML-based Systems
More and more edge devices and mobile apps are leveraging deep learning ...
research
∙
03/09/2023
Recent Advances of Deep Robotic Affordance Learning: A Reinforcement Learning Perspective
As a popular concept proposed in the field of psychology, affordance has...
research
∙
02/28/2023
Double Dynamic Sparse Training for GANs
The past decade has witnessed a drastic increase in modern deep neural n...
research
∙
09/20/2022
Optimizing Crop Management with Reinforcement Learning and Imitation Learning
Crop management, including nitrogen (N) fertilization and irrigation man...
research
∙
09/13/2022
Defense against Privacy Leakage in Federated Learning
Federated Learning (FL) provides a promising distributed learning paradi...
research
∙
07/19/2022
Abstract Demonstrations and Adaptive Exploration for Efficient and Stable Multi-step Sparse Reward Reinforcement Learning
Although Deep Reinforcement Learning (DRL) has been popular in many disc...
research
∙
06/19/2022
A Unified Understanding of Deep NLP Models for Text Classification
The rapid development of deep natural language processing (NLP) models f...
research
∙
06/13/2022
Exploring and Exploiting Hubness Priors for High-Quality GAN Latent Sampling
Despite the extensive studies on Generative Adversarial Networks (GANs),...
research
∙
04/21/2022
Optimizing Nitrogen Management with Deep Reinforcement Learning and Crop Simulations
Nitrogen (N) management is critical to sustain soil fertility and crop p...
research
∙
09/14/2021
On the bilateral preconditioning for an L2-type all-at-once system arising from time-space fractional Bloch-Torrey equations
Time-space fractional Bloch-Torrey equations (TSFBTEs) are developed by ...
research
∙
05/12/2021
An Open-Source Multi-Goal Reinforcement Learning Environment for Robotic Manipulation with Pybullet
This work re-implements the OpenAI Gym multi-goal robotic manipulation e...
research
∙
04/22/2021
Performance Evaluation of Adversarial Attacks: Discrepancies and Solutions
Recently, adversarial attack methods have been developed to challenge th...
research
∙
03/02/2021
A Survey On Universal Adversarial Attack
Deep neural networks (DNNs) have demonstrated remarkable performance for...
research
∙
12/23/2020
A Principle Solution for Enroll-Test Mismatch in Speaker Recognition
Mismatch between enrollment and test conditions causes serious performan...
research
∙
12/17/2020
Network Hawkes Process Models for Exploring Latent Hierarchy in Social Animal Interactions
Group-based social dominance hierarchies are of essential interest in an...
research
∙
12/07/2020
A Generalized Robotic Handwriting Learning System based on Dynamic Movement Primitives (DMPs)
Learning from demonstration (LfD) is a powerful learning method to enabl...
research
∙
09/15/2020
Decision-based Universal Adversarial Attack
A single perturbation can pose the most natural images to be misclassifi...
research
∙
08/06/2020
Shonan Rotation Averaging: Global Optimality by Surfing SO(p)^n
Shonan Rotation Averaging is a fast, simple, and elegant rotation averag...
research
∙
06/16/2020
E^3: Visual Exploration of Spatiotemporal Energy Demand
Understanding demand-side energy behaviour is critical for making effici...
research
∙
05/06/2020
ProbaNet: Proposal-balanced Network for Object Detection
Candidate object proposals generated by object detectors based on convol...
research
∙
04/12/2020
MLCVNet: Multi-Level Context VoteNet for 3D Object Detection
In this paper, we address the 3D object detection task by capturing mult...
research
∙
03/28/2020
Adversarial Imitation Attack
Deep learning models are known to be vulnerable to adversarial examples....
research
∙
03/28/2020
DaST: Data-free Substitute Training for Adversarial Attacks
Machine learning models are vulnerable to adversarial examples. For the ...
research
∙
01/25/2020
Diagnostics and Visualization of Point Process Models for Event Times on a Social Network
Point process models have been used to analyze interaction event times o...
research
∙
03/08/2019
Markov-Modulated Hawkes Processes for Sporadic and Bursty Event Occurrences
Modeling event dynamics is central to many disciplines. Patterns in obse...
research
∙
03/07/2018
