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논문 리뷰9

[논문 리뷰] Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks Paper DetailsTitle: Retrieval-Augmented Generation for Knowledge-Intensive NLP TasksAuthors: Patrick Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Küttler, Mike Lewis, Wen-tau Yih, Tim Rocktäschel, Sebastian Riedel, Douwe KielaConference: Facebook AI Research, University College London, New York UniversityYear of Publication: 2021Link: https://ar.. 2024. 12. 16.
[논문 리뷰] V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation Paper DetailsTitle: V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation Authors: Fausto Milletari, Nassir Navab, Seyed-Ahmad Ahmadi Conference: Medical Image Computing and Computer-Assisted Intervention (MICCAI) Year of Publication: 2016 Link: https://arxiv.org/abs/1606.04797Key Focus: This paper introduces V-Net, a fully convolutional neural network designed for.. 2024. 11. 25.
[논문 리뷰] U-Net: Convolution Networks for Biomedical Image Segmentation Paper DetailsTitle: U-Net: Convolutional Networks for Biomedical Image Segmentation Authors: Olaf Ronneberger, Philipp Fischer, Thomas Brox Conference: Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2015 Year of Publication: 2015 Link: https://arxiv.org/abs/1505.04597Key Focus: This paper presents U-Net, a convolutional neural network designed for biomedical image segmentati.. 2024. 11. 18.
[논문 리뷰] BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Paper Details Title: BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Authors: Jacob Devlin, Ming-Wei Chang, Kenton Lee, Kristina ToutanovaConference: NAACL 2019Year of Publication: 2019Link: https://arxiv.org/abs/1810.04805Key Focus: This paper introduces BERT (Bidirectional Encoder Representations from Transformers), a novel language representation model that pr.. 2024. 11. 11.
[논문 리뷰] Playing Atari with Deep Reinforcement Learning Paper Details Title: Playing Atari with Deep Reinforcement LearningAuthors: Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Alex Graves, Ioannis Antonoglou, Daan Wierstra, Martin RiedmillerConference: NIPS 2013Year of Publication: 2013Link: https://arxiv.org/abs/1312.5602Key Focus: This paper introduces a deep reinforcement learning method using a convolutional neural network (CNN) that learns .. 2024. 11. 4.
[논문 리뷰] AN IMAGE IS WORTH 16X16 WORDS: TRANSFORMERS FOR IMAGE RECOGNITION AT SCALE Paper Details Title: An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Authors: Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, Jakob Uszkoreit, Neil Houlsby Conference: International Conference on Learning Representations (ICLR 2021) Year of Publ.. 2024. 10. 14.

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