[논문리뷰]

1.[논문리뷰 | CV] ImageNet Classification with Deep Convolutional Neural Networks (2012) Summary

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2.[논문리뷰 | CV] Going deeper with convolutions (2014) Summary

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3.[논문리뷰 | CV] VERY DEEP CONVOLUTIONAL NETWORKS FOR LARGE-SCALE IMAGE RECOGNITION (2014) Summary

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4.[논문리뷰 | CV] Deep Residual Learning for Image Recognition (2015) Summary

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5.[논문리뷰 | CV] EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks (2020) Summary

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6.[논문리뷰 | NLP] Sequence to Sequence Learning with Neural Networks (2014) Summary

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7.[논문 리뷰 | NLP] Attention Is All You Need (2017) Summary

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8.[논문 리뷰 | RC] Hybrid Recommender Systems - A Systematic Literature Review (2019) Summary

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9.[논문리뷰 | CV] Rich feature hierarchies for accurate object detection and semantic segmentation Tech report (v5) (2014) Summary

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10.[논문리뷰 | CV] AN IMAGE IS WORTH 16X16 WORDS: TRANSFORMERS FOR IMAGE RECOGNITION AT SCALE (2021) Summary

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11.[논문리뷰 | CV] Self-training with Noisy Student improves ImageNet classification (2020) Summary

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12.[논문리뷰 | CV] Swin Transformer: Hierarchical Vision Transformer using Shifted Windows (2021) Summary

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13.[논문리뷰 | NLP]  BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (2019) Summary

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14.[논문리뷰 | CV] SEMI-SUPERVISED CLASSIFICATION WITH GRAPH CONVOLUTIONAL NETWORKS (2017) Summary

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15.[논문리뷰 | CV] MobileNet: Efficient Convolutional Neural Networks for Mobile Vision Applications (2017) Summary

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16.[논문리뷰 | CV] YOLOv4: Optimal Speed and Accuracy of Object Detection (2020) Summary

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17.[논문리뷰 | CV] End-to-End Object Detection with Transformers (2020) Summary

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18.[논문리뷰 | CV] A ConvNet for the 2020s (2022) Summary

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19.[논문리뷰 | CV] Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization(2019) Summary

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20.[논문리뷰 | CV] NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis(2020) Summary

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21.[논문리뷰 | Anomaly] Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery (2017) Summary

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22.[논문리뷰 | Anomaly] Anomaly Detection with Generative Adversarial Networks for Multivariate Time Series (2019) Summary

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23.[논문리뷰 | Speech] Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers (VALL-E) (2023) Summary

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24.[논문리뷰 | CV] M3D-VTON: A Monocular-to-3D Virtual Try-On Network (2021) Summary

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25.[논문리뷰 | Speech] HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Units (2021) Summary

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26.[논문리뷰 | CV] Learning Character-Agnostic Motion for Motion Retargeting in 2D (2019) Summary

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27. [논문리뷰 | CV] A Body Part Embedding Model With Datasets for Measuring 2D Human Motion Similarity (2021) Summary

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28.[논문리뷰 | NLP] ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission (2020) Summary

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29.[논문리뷰 | NLP] UmlsBERT: Clinical Domain Knowledge Augmentation of Contextual Embeddings Using the Unified Medical Language System Metathesaurus (2021) Summary

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30.[논문리뷰 | NLP] BERN2: an advanced neural biomedical named entity recognition and normalization tool (2022) Summary

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31. [논문리뷰 | CV] BEDLAM: A Synthetic Dataset of Bodies Exhibiting Detailed Lifelike Animated Motion(2023) Summary

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32. [논문리뷰 | CV] BEDLAM: A Synthetic Dataset of Bodies Exhibiting Detailed Lifelike Animated Motion Supplementary Material (2023) Summary

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33. [논문리뷰 | CV] NeMo: 3D Neural Motion Fields from Multiple Video Instances of the Same Action (2023) Summary

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34.[논문리뷰 | Anomaly] Graph-based Anomaly Detection and Description: A Survey (2014) Summary

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35.[논문리뷰 | NLP] NEURAL MACHINE TRANSLATION BY JOINTLY LEARNING TO ALIGN AND TRANSLATE (2015) Summary

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36.[논문리뷰 | NLP ] MASS: Masked Sequence to Sequence Pre-training for Language Generation (2019) Summary

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38.[논문리뷰 | NLP ] RoBERTa: A Robustly Optimized BERT Pretraining Approach(2019) Summary

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39.[논문리뷰 | NLP ] ELMO: Deep contextualized word representations(2018) Summary

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40.[논문리뷰 | NLP ] ALBERT: A Lite BERT for Self-supervised Learning of Language Representations (2020) Summary

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41.[논문리뷰 | NLP ] GPT3: Language Models are Few-Shot Learners (2020) Summary

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42.[논문리뷰 | NLP ] DeBERTa: Decoding-enhanced BERT with Disentangled Attention (2020) Summary

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