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AIKU : 고려대학교 정보대학 딥러닝 학회
เข้าร่วมเมื่อ 18 ส.ค. 2022
고려대학교 정보대학 딥러닝 학회, AIKU의 공식 유튜브 채널입니다.
AIKU 24-2 Momentum 6회 : Steganography
AIKU의 더 많은 활동이 궁금하다면? : aiku.oopy.io/
**Title**
- Steganography
**Talker**
- 김민영
**Topic**
- Invertible Neural Network.
- Steganography
**Title**
- Steganography
**Talker**
- 김민영
**Topic**
- Invertible Neural Network.
- Steganography
มุมมอง: 30
วีดีโอ
AIKU 24-2 Momentum 6회 : DiffusionGAN
มุมมอง 4214 วันที่ผ่านมา
AIKU의 더 많은 활동이 궁금하다면? : aiku.oopy.io/ Title - DiffusionGAN Talker - 정혜민 Topic - Diffusion - GAN - Gaussian Mixture Distribution
AIKU 24-2 Momentum 6회 : DreamFusion
มุมมอง 1614 วันที่ผ่านมา
AIKU의 더 많은 활동이 궁금하다면? : aiku.oopy.io/ Title - DreamFusion Talker - 송현지 Topic - text-to-3d - DreamFusion
AIKU 24-2 Seminar 6회 : 인간이 선호하는 답변을 해줘 RLHF부터 DPO, 데이터셋까지 All in One 🤗
มุมมอง 9314 วันที่ผ่านมา
AIKU의 더 많은 활동이 궁금하다면? : aiku.oopy.io/ Title - 인간이 선호하는 답변을 해줘 RLHF부터 DPO, 데이터셋까지 All in One 🤗 Talker - 정혜민 Topic - RLHF - DPO
AIKU 24-2 DeepIntoDeep 11회 : 딥러닝 입문하기 - Question Answering
มุมมอง 5821 วันที่ผ่านมา
AIKU의 더 많은 활동이 궁금하다면? : aiku.oopy.io/ 강의자: 황상민 #questionanswering #nlp #deeplearning #aiku
AIKU 24-2 Momentum 5회 : LLaVA-Med
มุมมอง 4528 วันที่ผ่านมา
AIKU의 더 많은 활동이 궁금하다면? : aiku.oopy.io/ Title - LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day Talker - 권보영 Topic - biomedical image - instruction tuning - vision instruction tuning
AIKU 24-2 Momentum 5회 : HYTREL:Hypergraph-enhanced Tabular Data Representation Learning
มุมมอง 3628 วันที่ผ่านมา
AIKU의 더 많은 활동이 궁금하다면? : aiku.oopy.io/ Title - HYTREL:Hypergraph-enhanced Tabular Data Representation Learning Talker - 서연우 Topic - tabular data - hypergraph
AIKU 24-2 Momentum 5회 : Deep Geometry-Aware Camera Self-Calibration from Video
มุมมอง 2428 วันที่ผ่านมา
AIKU의 더 많은 활동이 궁금하다면? : aiku.oopy.io/ Title - Deep Geometry-Aware Camera Self-Calibration from Video Talker - 문승기 Topic - Computer Vision - Camera intrinsic self-calibration - Simultaneous Localization and Mapping (SLAM)
AIKU 24-2 DeepIntoDeep 10회 : 딥러닝 입문하기 - Segmentation
มุมมอง 3828 วันที่ผ่านมา
AIKU의 더 많은 활동이 궁금하다면? : aiku.oopy.io/ 강의자: 김채현 #segmentation #computervision #deeplearning #aiku
AIKU 24-2 DeepIntoDeep 9회 : 딥러닝 입문하기 - Object Detection
มุมมอง 6328 วันที่ผ่านมา
AIKU의 더 많은 활동이 궁금하다면? : aiku.oopy.io/ 강의자: 강지원 #objectdetection #computervision #deeplearning #aiku
AIKU 24-2 Seminar 5회 : Image Matching Local Features and Beyond (DUSt3R)
มุมมอง 3828 วันที่ผ่านมา
AIKU의 더 많은 활동이 궁금하다면? : aiku.oopy.io/ Title - Image Matching Local Features and Beyond (DUSt3R: Geometric 3D Vision Made Easy) Talker - 송현지 Topic - 3D reconstruction
AIKU 24-2 Seminar 5회 : AI에 독 풀기
มุมมอง 3728 วันที่ผ่านมา
AIKU의 더 많은 활동이 궁금하다면? : aiku.oopy.io/ Title - AI에 독 풀기 Talker - 권보영 Topic - Data Poisoning - Glaze - Nightshade
AIKU 24-2 Seminar 3회 : LLMs for Time-Series
มุมมอง 49หลายเดือนก่อน
AIKU의 더 많은 활동이 궁금하다면? : aiku.oopy.io/ Title - LLMs for Time-Series Talker - 김지연 Topic - LLM - Time-Series
AIKU 24-2 DeepIntoDeep 8회 : 딥러닝 입문하기 - Transformer in CV
มุมมอง 73หลายเดือนก่อน
AIKU의 더 많은 활동이 궁금하다면? : aiku.oopy.io/ 강의자: 김민영 #transformer #computervision #deeplearning #aiku
AIKU 24-2 Seminar 4회 : A practical guide to building successful LLM products
มุมมอง 107หลายเดือนก่อน
AIKU의 더 많은 활동이 궁금하다면? : aiku.oopy.io/ Title - A practical guide to building successful LLM products Talker - 이민재 Topic - LLM products - Practical guide
AIKU 24-2 Momentum 4회 : Boltzmann machines: Unsupervised data representation learning
มุมมอง 33หลายเดือนก่อน
AIKU 24-2 Momentum 4회 : Boltzmann machines: Unsupervised data representation learning
AIKU 24-2 Momentum 4회 : Place Anything into Any Video
มุมมอง 58หลายเดือนก่อน
AIKU 24-2 Momentum 4회 : Place Anything into Any Video
AIKU 24-2 Momentum 4회 : Time-LLM: Time Series Forecasting by Reprogramming Large Language models
มุมมอง 94หลายเดือนก่อน
AIKU 24-2 Momentum 4회 : Time-LLM: Time Series Forecasting by Reprogramming Large Language models
AIKU 24-2 DeepIntoDeep 7회 : 딥러닝 입문하기 - Transformer in NLP
มุมมอง 80หลายเดือนก่อน
AIKU 24-2 DeepIntoDeep 7회 : 딥러닝 입문하기 - Transformer in NLP
AIKU 24-2 Momentum 3회 : Robust Speech Recognition via Large-Scale Weak Supervision
มุมมอง 53หลายเดือนก่อน
AIKU 24-2 Momentum 3회 : Robust Speech Recognition via Large-Scale Weak Supervision
AIKU 24-2 Momentum 3회 : Are Transformers Effective for Time Series Forecasting?
มุมมอง 53หลายเดือนก่อน
AIKU 24-2 Momentum 3회 : Are Transformers Effective for Time Series Forecasting?
AIKU 24-2 Momentum 2회 : Energy models: Hopfield network
มุมมอง 107หลายเดือนก่อน
AIKU 24-2 Momentum 2회 : Energy models: Hopfield network
AIKU 24-2 Momentum 2회 : MoVA: Adapting Mixture of Vision Experts to Multimodal Context
มุมมอง 45หลายเดือนก่อน
AIKU 24-2 Momentum 2회 : MoVA: Adapting Mixture of Vision Experts to Multimodal Context
AIKU 24-2 DeepIntoDeep 3회 : 딥러닝 입문하기 - Convolution Neural Network
มุมมอง 94หลายเดือนก่อน
AIKU 24-2 DeepIntoDeep 3회 : 딥러닝 입문하기 - Convolution Neural Network
AIKU 24-2 Seminar 2회 : 3D Gaussian Splatting
มุมมอง 65หลายเดือนก่อน
AIKU 24-2 Seminar 2회 : 3D Gaussian Splatting
AIKU 24-2 DeepIntoDeep 4회 : 딥러닝 입문하기 - NLP Basics & Recurrent models
มุมมอง 111หลายเดือนก่อน
AIKU 24-2 DeepIntoDeep 4회 : 딥러닝 입문하기 - NLP Basics & Recurrent models
AIKU 24-2 Momentum 1회 : Why do tree-based models still outperform deep learning on tabular data?
มุมมอง 81หลายเดือนก่อน
AIKU 24-2 Momentum 1회 : Why do tree-based models still outperform deep learning on tabular data?
AIKU 24-2 Momentum 1회 : RePaint: Inpainting using Denoising Diffusion Probabilistic Models
มุมมอง 39หลายเดือนก่อน
AIKU 24-2 Momentum 1회 : RePaint: Inpainting using Denoising Diffusion Probabilistic Models
AIKU 24-2 DeepIntoDeep 1, 2회 : 딥러닝 입문하기 - ML&DL Basics & PyTorch
มุมมอง 130หลายเดือนก่อน
AIKU 24-2 DeepIntoDeep 1, 2회 : 딥러닝 입문하기 - ML&DL Basics & PyTorch
하늘 아래 장부루가 두 명일 순 없다..
덕분에 GNN prior를 잘 얻어갑니다 ㅎㅎ
Compositional 부분이 이해가 안돼서 자료를 찾다가 영상 보게 되었습니다. 논문에서도 자세히 설명되지 않아서 답답했는데 어쩔 수 없나 보네요.....ㅜㅜ
김민재 폼 미쳤다
잘봤습니다.
딴 얘기인데 뇌신경가소성을 향상시킨다는 말은 시냅스가 활성화되서 잘 기능한다고 말할 수 있나요?
잘봤습니다
ㅇ아리가또
발표자님의 목소리가 중간중간 너무 작아서 들리지가 않네요.. ㅜㅜ
좋은 인사이트 얻고 갑니다
OH MY GOD!! THIS IS AMAZING!!! My entire is life is changed! How could I not have known? It was right there the whole time!!
좋은 세미나 감사합니다.
영상 감사합니다.
소리가 너무 작아요 ^^
잘봤습니다.