ImageNet Classification with Deep Convolutional Neural Networks (2012) 논문 리뷰입니다 :)
Going deeper with convolutions (2014) 논문 리뷰입니다 :)
VERY DEEP CONVOLUTIONAL NETWORKS FOR LARGE-SCALE IMAGE RECOGNITION (2014) 논문 리뷰입니다 :)
Deep Residual Learning for Image Recognition (2015) 논문 리뷰입니다 :)
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks (2020) 논문 리뷰입니다 :)
Sequence to Sequence Learning with Neural Networks (2014) 논문 리뷰입니다 :)
Transforemr 논문 리뷰입니다 :)
Hybrid Recommender Systems 논문 리뷰입니다. :)
Rich feature hierarchies for accurate object detection and semantic segmentation Tech report (v5) (2014) 논문 리뷰입니다:)
AN IMAGE IS WORTH 16X16 WORDS: TRANSFORMERS FOR IMAGE RECOGNITION AT SCALE (2021) 논문 리뷰입니다 :)
Self-training with Noisy Student improves ImageNet classification (2020) 논문 리뷰입니다 :)
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows (2021) 논문 리뷰입니다 :)
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (2019) 논문 리뷰입니다 :)
SEMI-SUPERVISED CLASSIFICATION WITH GRAPH CONVOLUTIONAL NETWORKS (2017) 논문 리뷰입니다 :)
MobileNet: Efficient Convolutional Neural Networks for Mobile Vision Applications (2017) 논문 리뷰입니다 :)
YOLOv4: Optimal Speed and Accuracy of Object Detection (2020) 논문 리뷰입니다 :)
End-to-End Object Detection with Transformers (2020) 논문 리뷰입니다 :)
A ConvNet for the 2020s (2022) 논문 리뷰입니다 :)
Grad-CAM: Visual Explanations from Deep Networksvia Gradient-based Localization(2019) 논문 리뷰입니다 :)
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis (2020) 논문 리뷰입니다 :)
Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery (2017) 논문 리뷰입니다 :)
Anomaly Detection with Generative Adversarial Networks for Multivariate Time Series (2019) 논문 리뷰입니다 :)
Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers (VALL-E) (2023) 논문 리뷰입니다 :)
M3D-VTON: A Monocular-to-3D Virtual Try-On Network (2021) 논문 리뷰입니다 :)
HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Units (2021) 논문리뷰입니다 :)
Learning Character-Agnostic Motion for Motion Retargeting (2019) 논문 리뷰입니다 :)
A Body Part Embedding Model With Datasets for Measuring 2D Human Motion Similarity (2021) 논문 리뷰입니다 :)
ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission (2020) 논문리뷰입니다 :)
UmlsBERT: Clinical Domain Knowledge Augmentation of Contextual Embeddings Using the Unified Medical Language System Metathesaurus (2021) 논문 리뷰입니다 :)
BERN2: an advanced neural biomedical named entity recognition and normalization tool (2022) 논문 리뷰입니다 :)
BEDLAM: A Synthetic Dataset of Bodies Exhibiting Detailed Lifelike Animated Motion (2023) 논문 리뷰입니다 :)
BEDLAM: A Synthetic Dataset of Bodies Exhibiting Detailed Lifelike Animated Motion Supplementary Material (2023) 논문 리뷰입니다 :)
NeMo: 3D Neural Motion Fields from Multiple Video Instances of the Same Action (2023) 논문 리뷰입니다 :)
Graph-based Anomaly Detection and Description: A Survey (2014) 논문 리뷰입니다 :)
NEURAL MACHINE TRANSLATION BY JOINTLY LEARNING TO ALIGN AND TRANSLATE 논문 리뷰입니다 :)
MASS: Masked Sequence to Sequence Pre-training for Language Generation (2019) 논문리뷰입니다 )
U-Net 논문리뷰입니다 :)
RoBERTa: A Robustly Optimized BERT Pretraining Approach(2019) 논문 리뷰입니다 :)
ELMO: Deep contextualized word representations(2018) 논문 리뷰입니다 :)
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations (2020) 논문리뷰입니다 :)
GPT3: Language Models are Few-Shot Learners (2020) 논문 리뷰입니다 )
DeBERTa: Decoding-enhanced BERT with Disentangled Attention (2020) 논문 리뷰입니다 :)