Tez Dosyaları 17
Universal adversarial perturbations using alternating loss functions
VEHICLE DETECTION ON SMALL SCALE DATA BY GENERATIVE DATA AUGMENTATION
Joint temperature-luminosity classification of stellar spectra with a distance-aware loss function
Accelerating line of sight analysis algorithms with parallel programming
Improving perceptual quality of spatially transformed adversarial examples
Unified local-global prompt learning for few-shot vision-language adaptation via optimal transport
Improving classification performance of endoscopic images with generative data augmentation
Parallelization of noise subspace-based DOA estimation algorithms on CPU and GPU
A data driven performance evaluation framework for sports analytics
Speaker and posture classification using instantaneous acoustic features of breath signals
EMPLOYMENT OF CYCLE-SPINNING IN DEEP LEARNING
Attack Independent Perceptual Improvement of Adversarial Examples
Modelıng dısease progressıon wıth dıffusıon-based generatıve models
Computer-aided estimation of endoscopic activity in ulcerative colitis
Active learning based synthetic sample selection for endoscopic image classification
Generation and modification of 3D models with deep neural networks
ADAPTIVE DATA AUGMENTATION THROUGH PROMPT-DRIVEN POLICY OPTIMIZATION WITH LARGE LANGUAGE MODELS
Eğitimin/Kursun Program İçeriğini Gösteren Broşür veya Afiş 1
Derin Öğrenme Eğitimi