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(※대상: 인공지능대학원 지원사업
참여 교원 및 연구원)
다빈치AI대학원은 교학, 산학, 국제협력, 확산 분과별 체계를 구성하여 AI 교육 및 연구의 확산을 지원합니다.
basic 3
2132 2022-07-26
BASIC 22
1777 2022-07-26
AI대학원 오픈랩(오전)
917 2023-10-31
basic 1
861 2022-07-26
AI대학원 오픈랩(오후)
784 2023-10-31
basic 4
687 2022-07-26
Multi-modality image computing for AI-assisted cardiology
611 2022-09-12
Optimizers for deep learning: From SGD to AdamP
569 2022-09-12
AI시대, 현대인이 나아가야 할 길
465 2022-09-13
[K-MOOC] 세상을 움직이는 AI(Day-1)
452 2022-10-18
Effects of overparameterization on sharpness-aware minimization
324 2023-10-23
Fine-tuning instability and non-termination in large-scale language models
295 2023-04-07
Maillard Sampling: Boltzmann Exploration Done Optimally
272 2023-06-26
Empirical Methods and Recent Topics for Video Moment Retrieval
267 2023-05-19
Can We Find Strong Lottery Tickets in Generative Models?
260 2023-08-18
Utilizing Visibility Algorithm for Fault
232 2023-04-04
Effective Representation Learning for Distribution Shift
228 2023-09-26
기계학습 기술 트렌드
126 2023-10-26
컴퓨터비전
122 2023-10-26
Multi-modality image computing for AI-assisted cardiology
611 2022-09-12
Probabilistic Neuromorphic Computing and Learning
421 2022-09-12
Task-Adaptive Meta-Learning for Few-Shot Learning
417 2022-09-12
VisionScaling: Dynamic Learning and Resource Scaling in Mobile AI
390 2022-09-12
Refining Action Segmentation with Hierarchical Video Representations
338 2022-09-12
8. Active Learning
191 2024-09-13
1. Introduction
190 2024-09-13
3. Multi-task Learning
177 2024-09-13
5. Domain Adaptation & Generalization (1)
169 2024-09-13
4. Few-shot Learning
165 2024-09-13
9. Meta Learning
163 2024-09-13
2. Transfer Learning
161 2024-09-13
7. Continual & Lifelong Learning
154 2024-09-13
6. Domain Adaptation & Generalization (2)
148 2024-09-13
12. Unsupervised Representation Learning 2 - Self-supervised Learning
142 2024-09-13
1.Limits and Derivatives (1)
205 2024-09-05
7. Integrals (1)
178 2024-09-06
3. Differentiation Rules (1)
177 2024-09-06
6. Applications of Differentiation (2)
177 2024-09-06
8. Integrals (2)
177 2024-09-06
4. Differentiation Rules (2)
173 2024-09-06
10.Techniques of Integration (1)
171 2024-09-06
2. Limits and Derivatives (2)
166 2024-09-06
5. Applications of Differentiation (1)
165 2024-09-06
9. Applications on Integration
155 2024-09-06
4. Convolution video 2
286 2023-12-11
1. introduction
285 2023-12-11
9. audioProcessing 1-(1)
257 2023-12-11
12. image processing 1
248 2023-12-11
7. filtering
246 2023-12-11
3. Convolution video 1
237 2023-12-11
6. FFT
236 2023-12-11
2. discrete time signal and system
226 2023-12-11
5. fourier series and transformation
224 2023-12-11
8. filter
218 2023-12-11
2. Linear Regression
269 2023-12-08
14. Generative Models
255 2023-12-11
3. Linear Classification
245 2023-12-08
12. Machine Translation
240 2023-12-11
4. Logistic Regression
236 2023-12-08
9. Convolutional Neural Networks(2)
236 2023-12-11
6. Regularization for Deep Learning
234 2023-12-08
5. Feed-forward Neural Network
233 2023-12-08
1. Framework for ML
221 2023-12-08
7. Optimization for Deep Learning
220 2023-12-08
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