# paper-review
PACTree: A High Performance Persistent Range Index Using PAC Guidelines
Introduction
Write-Optimized and High-Performance Hashing Index Scheme for Persistent Memory
USENIX 13th (OSDI '18) _Pengfei Zuo, Yu Hua, and Jie Wu, Huazhong University of Science and Technology_
WORT: Write Optimal Radix Tree for Persistent Memory Storage Systems
Persistent memory는 byte addressable하고 non-volatile한 특성을 지니고 있어서, PCI interface를 사용하지 않고 memory bus를 통해서 접근이 가능하다. 그리고 failure atomicity unit은 8 bytes보
[Paper Review] Deep Learning for Anomaly Detection: A Survey
Raghavendra Chalapathy et al. Deep Learning for Anomaly Detection: A Survey. arXiv, 2019.
NVMe-CR: A Scalable Ephemeral Storage Runtime for Checkpoint/Restart with NVMe-over-Fabrics
NVMe-over-Fabrics (NVMf) standard NVMe-over-Fabrics (NVMf) standard is an extension of the NVMe standard to allow remote access to SSDs using fast RDM
AC-Key: Adaptive Caching for LSM-based Key-Value Stores
LSM tree는 append 하는 형식으로 write operation을 처리하기 때문에 write 성능에 있어서는 다른 Key-Value 데이터베이스 시스템에 비해 우위를 점한다. 하지만 level structure를 두어 데이터를 관리하기 때문에 read perf
HydraList- A scalable In-Memory Index Using Asynchronous Updates and Partial Replication
Hardware 기술이 발전함에 따라, 점차 Main Memory 크기가 증가하는 추세를 보이고 있고, 이는 in-memory database의 발전으로 이어지고 있습니다. 따라서 database의 index strucuture의 중요성이 증가하고 있는 추세입니다.
[논문리뷰] (수정중)From Show to Tell: A Survey on Deep Learning-based Image Captioning(2)(Language Model을 중심으로)
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[논문 리뷰] [YOLO]You Only Look Once : Unified, Real-Time Object Detection
최초의 YOLO 논문을 리뷰한 포스트입니다. Deep learning 중 object detection 분야에 있어서 SOTA인 모델인 만큼 원리 분석에 치중하였습니다.
[논문리뷰] From Show to Tell: A Survey on Deep Learning-based Image Captioning(1)(Visual Encoder Part를 중심으로 )
Paper:From Show to Tell: A Survey on Deep Learning-based Image Captioning
[논문리뷰]Clinical Natural Language Processing for Radiation Oncology: A Review and Practical Prime(Red journal, Jan 2021)
Review for "Clinical Natural Language Processing for Radiation Oncology: A Review and Practical Primer"
[논문리뷰]A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios(ACL Anthology, Jun 2021)
NLP 분야 task를 진행할 때, 데이터가 모자란 상황에서는 어떻게 접근해야 할까요?
[논문리뷰] Deep learning in clinical natural language processing: a methodical review
Survey paper for clinical NLP
[논문리뷰] Health Natural Language Processing: Methodology Development and Applications
읽다가 멈춤.
[논문리뷰] Medical Visual Question Answering: A Survey
Survey Paper review : Medical VQA
[Paper review]Deep double descent
DEEP DOUBLE DESCENT: WHERE BIGGER MODELS AND MORE DATA HURT (2020, ICLR)classical한 통계분야에서 '모델이 너무 크면 좋지 않다'라는게 기본적인 인식있음(Bias-variance trade-off: 모델 복
Seven Research Contributions in HCI by Dr. Wobbrock
워싱턴 대학 Wobbrock 교수님이 2012년에 작성하신 "Seven Research Contributions in HCI"를 정리해보자. (원문 링크)Empirical contributionsArtifact contributionsMethodological cont
[논문리뷰]AN IMAGE IS WORTH 16X16 WORDS: TRANSFORMERS FOR IMAGE RECOGNITION AT SCALE : Vi-T(Vision Transformer)
Paper review for Vision Transformer
