Search Results for author:
Found 9 papers, 0 papers with code
Butterfly Effect: Bidirectional Control of Classification Performance by Small Additive Perturbation
In addition to this performance enhancement problem, we show that the proposed PGN can be adopted to solve the classical adversarial problem without utilizing the information on the target classifier.
Task-oriented Design through Deep Reinforcement Learning
We propose a new low-cost machine-learning-based methodology which assists designers in reducing the gap between the problem and the solution in the design process.
Disentangling Options with Hellinger Distance Regularizer
In reinforcement learning (RL), temporal abstraction still remains as an important and unsolved problem.
Handling Out-Of-Vocabulary Problem in Hangeul Word Embeddings
Word embedding is considered an essential factor in improving the performance of various Natural Language Processing (NLP) models.
MitoVis: A Visually-guided Interactive Intelligent System for Neuronal Mitochondria Analysis
It is known that the morphology of mitochondria is closely related to the functions of neurons and neurodegenerative diseases.
Explore, Select, Derive, and Recall: Augmenting LLM with Human-like Memory for Mobile Task Automation
The advent of large language models (LLMs) has opened up new opportunities in the field of mobile task automation.
Deep Learning-based Real-time Smartphone Pose Detection for Ultra-wideband Tagless Gate
As commercial interest in proximity services increased, the development of various wireless localization techniques was promoted.
Power-Efficient Indoor Localization Using Adaptive Channel-aware Ultra-wideband DL-TDOA
In this paper, we propose and implement a novel low-power channel-aware dynamic frequency DL-TDOA ranging algorithm.
Dynamic Anchor Selection and Real-Time Pose Prediction for Ultra-wideband Tagless Gate
DynaPose is based on line-of-sight (LOS) and non-LOS (NLOS) classification using deep learning for anchor selection and pose prediction.
