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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
2412 2022-07-26
BASIC 22
1970 2022-07-26
AI대학원 오픈랩(오전)
1239 2023-10-31
AI대학원 오픈랩(오후)
1103 2023-10-31
basic 1
1035 2022-07-26
basic 4
858 2022-07-26
Multi-modality image computing for AI-assisted cardiology
809 2022-09-12
Optimizers for deep learning: From SGD to AdamP
761 2022-09-12
AI시대, 현대인이 나아가야 할 길
669 2022-09-13
[K-MOOC] 세상을 움직이는 AI(Day-1)
655 2022-10-18
Effects of overparameterization on sharpness-aware minimization
513 2023-10-23
Fine-tuning instability and non-termination in large-scale language models
486 2023-04-07
Maillard Sampling: Boltzmann Exploration Done Optimally
462 2023-06-26
Empirical Methods and Recent Topics for Video Moment Retrieval
461 2023-05-19
Can We Find Strong Lottery Tickets in Generative Models?
452 2023-08-18
Utilizing Visibility Algorithm for Fault
428 2023-04-04
Effective Representation Learning for Distribution Shift
422 2023-09-26
기계학습 기술 트렌드
300 2023-10-26
컴퓨터비전
294 2023-10-26
Multi-modality image computing for AI-assisted cardiology
809 2022-09-12
Probabilistic Neuromorphic Computing and Learning
622 2022-09-12
Task-Adaptive Meta-Learning for Few-Shot Learning
619 2022-09-12
VisionScaling: Dynamic Learning and Resource Scaling in Mobile AI
585 2022-09-12
Refining Action Segmentation with Hierarchical Video Representations
532 2022-09-12
1. Introduction
390 2024-09-13
8. Active Learning
384 2024-09-13
3. Multi-task Learning
369 2024-09-13
5. Domain Adaptation & Generalization (1)
366 2024-09-13
9. Meta Learning
362 2024-09-13
4. Few-shot Learning
357 2024-09-13
2. Transfer Learning
354 2024-09-13
7. Continual & Lifelong Learning
346 2024-09-13
6. Domain Adaptation & Generalization (2)
341 2024-09-13
12. Unsupervised Representation Learning 2 - Self-supervised Learning
330 2024-09-13
1.Limits and Derivatives (1)
403 2024-09-05
8. Integrals (2)
384 2024-09-06
6. Applications of Differentiation (2)
372 2024-09-06
3. Differentiation Rules (1)
371 2024-09-06
7. Integrals (1)
369 2024-09-06
4. Differentiation Rules (2)
368 2024-09-06
10.Techniques of Integration (1)
365 2024-09-06
5. Applications of Differentiation (1)
363 2024-09-06
2. Limits and Derivatives (2)
361 2024-09-06
9. Applications on Integration
350 2024-09-06
4. Convolution video 2
479 2023-12-11
1. introduction
477 2023-12-11
12. image processing 1
458 2023-12-11
9. audioProcessing 1-(1)
452 2023-12-11
7. filtering
440 2023-12-11
2. discrete time signal and system
432 2023-12-11
3. Convolution video 1
430 2023-12-11
6. FFT
427 2023-12-11
5. fourier series and transformation
419 2023-12-11
8. filter
415 2023-12-11
2. Linear Regression
467 2023-12-08
12. Machine Translation
446 2023-12-11
14. Generative Models
446 2023-12-11
3. Linear Classification
442 2023-12-08
9. Convolutional Neural Networks(2)
442 2023-12-11
6. Regularization for Deep Learning
432 2023-12-08
1. Framework for ML
430 2023-12-08
4. Logistic Regression
430 2023-12-08
5. Feed-forward Neural Network
429 2023-12-08
7. Optimization for Deep Learning
416 2023-12-08
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