분류 전체보기372 [2025-1] 정유림 - SimCSE: Simple Contrastive Learning of Sentence Embeddings 1. 논문 개요논문 제목: SimCSE: Simple Contrastive Learning of Sentence Embeddings게재 연도: 2021 (EMNLP 2021 Accepted)인용 횟수: 3449회 (2025.02.08 기준)주요 성과:SimCSE는 간단한 대조 학습(Contrastive Learning) 프레임워크로 기존 문장 임베딩(Sentence Embedding) 성능을 획기적으로 개선.비지도 학습(Unsupervised): 입력 문장을 두 번 인코딩하여 드롭아웃(Dropout) 노이즈로 양성 쌍 생성.지도 학습(Supervised): NLI 데이터셋의 Entailment 쌍(Positive Pair)과 Contradiction 쌍(Hard Negative Pair) 활용.평가 결과.. 2025. 2. 8. [2025-1] 박제우 - A Unified Approach to Interpreting Model Predictions https://arxiv.org/abs/1705.07874 A Unified Approach to Interpreting Model PredictionsUnderstanding why a model makes a certain prediction can be as crucial as the prediction's accuracy in many applications. However, the highest accuracy for large modern datasets is often achieved by complex models that even experts struggle to interpret, such as ensemble or deep learning models, cre...arxiv.org.. 2025. 2. 8. [2025-1] 황징아이 - Temporal Feature Alignment and Mutual Information Maximization for Video-Based Human Pose Estimation 논문 : https://arxiv.org/abs/2203.15227코드 : https://github.com/Pose-Group/FAMI-Pose GitHub - Pose-Group/FAMI-Pose: This is an official implementation of our CVPR 2022 ORAL paper "Temporal Feature Alignment and MuThis is an official implementation of our CVPR 2022 ORAL paper "Temporal Feature Alignment and Mutual Information Maximization for Video-Based Human Pose Estimation" . - Pose-Group/FAMI-Po.. 2025. 2. 8. [2025-1] 유경석 - MAISI: Medical AI for Synthetic Imaging https://arxiv.org/pdf/2409.11169v2 https://build.nvidia.com/nvidia/maisi maisi Model by NVIDIA | NVIDIA NIMMAISI is a pre-trained volumetric (3D) CT Latent Diffusion Generative Model.build.nvidia.com AbstractMAISI (Medical AI for Synthetic Imaging) : 3D 컴퓨터 단층촬영 (CT) 이미지 생성 모델Volume Compression Network : 고해상도 CT 이미지 생성Latent diffusion model : flexible volume dimensions과 voxel spacing 제공ControlNe.. 2025. 2. 8. 이전 1 ··· 44 45 46 47 48 49 50 ··· 93 다음
