128 citations · 221 across the 6 of their papers we have counts for
6 papers
ARAIDA: Analogical Reasoning-Augmented Interactive Data Annotation
Chen Huang, Yiping Jin, Ilija Ilievski +2
Human annotation is a time-consuming task that requires a significant amount of effort. To address this issue, interactive data annotation utilizes an annotation model to provide s…
Learning Active Subspaces and Discovering Important Features with Gaussian Radial Basis Functions Neural Networks
Danny D'Agostino, Ilija Ilievski, Christine Annette Shoemaker
Providing a model that achieves a strong predictive performance and is simultaneously interpretable by humans is one of the most difficult challenges in machine learning research d…
A Simple Loss Function for Improving the Convergence and Accuracy of Visual Question Answering Models
Ilija Ilievski, Jiashi Feng
Visual question answering as recently proposed multimodal learning task has enjoyed wide attention from the deep learning community. Lately, the focus was on developing new represe…
Hyperparameter Transfer Learning through Surrogate Alignment for Efficient Deep Neural Network Training
Ilija Ilievski, Jiashi Feng
Recently, several optimization methods have been successfully applied to the hyperparameter optimization of deep neural networks (DNNs). The methods work by modeling the joint dist…
Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates
Ilija Ilievski, Taimoor Akhtar, Jiashi Feng +1
Automatically searching for optimal hyperparameter configurations is of crucial importance for applying deep learning algorithms in practice. Recently, Bayesian optimization has be…
A Focused Dynamic Attention Model for Visual Question Answering
Ilija Ilievski, Shuicheng Yan, Jiashi Feng
Visual Question and Answering (VQA) problems are attracting increasing interest from multiple research disciplines. Solving VQA problems requires techniques from both computer visi…