research
∙
08/16/2023
ALIP: Adaptive Language-Image Pre-training with Synthetic Caption
Contrastive Language-Image Pre-training (CLIP) has significantly boosted...
share
research
∙
08/09/2023
Methods for Acquiring and Incorporating Knowledge into Stock Price Prediction: A Survey
Predicting stock prices presents a challenging research problem due to t...
research
∙
08/07/2023
Learning a Graph Neural Network with Cross Modality Interaction for Image Fusion
Infrared and visible image fusion has gradually proved to be a vital for...
research
∙
07/17/2023
Complexity Matters: Rethinking the Latent Space for Generative Modeling
In generative modeling, numerous successful approaches leverage a low-di...
research
∙
04/13/2023
DiffFit: Unlocking Transferability of Large Diffusion Models via Simple Parameter-Efficient Fine-Tuning
Diffusion models have proven to be highly effective in generating high-q...
research
∙
03/30/2023
Twin Brownian particle method for the study of Oberbeck-Boussinesq fluid flows
We establish stochastic functional integral representations for solution...
research
∙
02/09/2023
The FluidFlower International Benchmark Study: Process, Modeling Results, and Comparison to Experimental Data
Successful deployment of geological carbon storage (GCS) requires an ext...
research
∙
02/03/2023
Bridging the Emotional Semantic Gap via Multimodal Relevance Estimation
Human beings have rich ways of emotional expressions, including facial a...
research
∙
08/18/2022
LogKernel A Threat Hunting Approach Based on Behaviour Provenance Graph and Graph Kernel Clustering
Cyber threat hunting is a proactive search process for hidden threats in...
research
∙
07/19/2022
Pandora Box Problem with Nonobligatory Inspection: Hardness and Approximation Scheme
Weitzman (1979) introduced the Pandora Box problem as a model for sequen...
research
∙
05/19/2022
Defending Against Adversarial Attacks by Energy Storage Facility
Adversarial attacks on data-driven algorithms applied in pow-er system w...
research
∙
03/29/2022
Calibrated Model Criticism Using Split Predictive Checks
Checking how well a fitted model explains the data is one of the most fu...
research
∙
03/02/2022
Code Smells in Machine Learning Systems
As Deep learning (DL) systems continuously evolve and grow, assuring the...
research
∙
02/13/2022
Consensus Division in an Arbitrary Ratio
We consider the problem of partitioning a line segment into two subsets,...
research
∙
11/24/2021
Dynamic Texture Recognition using PDV Hashing and Dictionary Learning on Multi-scale Volume Local Binary Pattern
Spatial-temporal local binary pattern (STLBP) has been widely used in dy...
research
∙
11/09/2021
MixACM: Mixup-Based Robustness Transfer via Distillation of Activated Channel Maps
Deep neural networks are susceptible to adversarially crafted, small and...
research
∙
08/10/2021
PyNose: A Test Smell Detector For Python
Similarly to production code, code smells also occur in test code, where...
research
∙
06/09/2021
Salient Object Ranking with Position-Preserved Attention
Instance segmentation can detect where the objects are in an image, but ...
research
∙
05/21/2021
Changes from the Trenches: Should We Automate Them?
Code changes constitute one of the most important features of software e...
research
∙
04/14/2021
Towards Explainable Multi-Party Learning: A Contrastive Knowledge Sharing Framework
Multi-party learning provides solutions for training joint models with d...
research
∙
02/19/2021
Analytics and Machine Learning in Vehicle Routing Research
The Vehicle Routing Problem (VRP) is one of the most intensively studied...
research
∙
01/11/2021
Horizontal-to-Vertical Video Conversion
Alongside the prevalence of mobile videos, the general public leans towa...
research
∙
12/31/2020
The Query Complexity of Local Search and Brouwer in Rounds
We study the query complexity of local search and Brouwer fixed-point co...
research
∙
12/22/2020
MetaAugment: Sample-Aware Data Augmentation Policy Learning
Automated data augmentation has shown superior performance in image reco...
research
∙
12/10/2020
Amodal Segmentation Based on Visible Region Segmentation and Shape Prior
Almost all existing amodal segmentation methods make the inferences of o...
research
∙
10/18/2020
JSRT: James-Stein Regression Tree
Regression tree (RT) has been widely used in machine learning and data m...
research
∙
08/21/2020
Rectified Decision Trees: Exploring the Landscape of Interpretable and Effective Machine Learning
Interpretability and effectiveness are two essential and indispensable r...
research
∙
02/11/2020
HRINet: Alternative Supervision Network for High-resolution CT image Interpolation
Image interpolation in medical area is of high importance as most 3D bio...
research
∙
10/10/2019
A Meta-Analysis: Air Quality and Lung Cancer Mortality
Lung cancer has become one of the most epidemic and fatal malignant neop...
research
∙
03/14/2019
Rectified Decision Trees: Towards Interpretability, Compression and Empirical Soundness
How to obtain a model with good interpretability and performance has alw...
research
∙
10/09/2018
Collective Strategies with a Master-slave Mechanism Dominate in Spatial Iterated Prisoner's Dilemma
The Iterated Prisoner's Dilemma (IPD) can model transactions among indiv...
research
∙
09/27/2017
