Paper Reading

【Paper Reading】XNOR-Net
Paper Reading 深度學習神經網絡
08-02
2018.8. Phrase-Based & Neural Unsupervised Machine Translation 閱讀筆記
Paper Reading
07-31
2015 - Deep recurrent q-learning for partially observable MDPs解決什麼解決辦法POMDPEvalution on Standard Atari GamesMDP to POMDP Generalization
Paper Reading 強化學習
07-05
重讀 Amazon Dynamo 論文有感
database distributed system Paper Reading Dynamo 分布式系統
07-02
（Dex-Net4.0）Learning ambidextrous robot grasping policies
Paper Reading 算法神經網絡深度學習人工智能
06-28
單幅圖像場景了解，論文解讀
Paper Reading 2014CV paper 單幅圖像場景了解
06-26
論文閱讀《ActiveStereoNet:End-to-End Self-Supervised Learning for Active Stereo Systems》
Paper Reading ActiveStereoNet stereo Computer Vision Depth Estimation Deep Learning
06-22
《 Learning and Memorization 》之 LUT -- lookup table
Paper Reading 算法
06-21
[Paper Reading] Dynamo: Amazon‘s Highly Available Key-value Store===== 1. Introduction===== 2. Background===== 3. Related work===== 4. System Architechture===== 5. Implementation===== 6. Experiences & Lessons Learned
Paper Reading 資料庫架構
06-20
計算機視覺期刊|會議
Paper Reading
06-18
Two-Stream Convolutional Networks for Action Recognition in Videos
Paper Reading
06-14
[Paper Reading]The Snowflake Elastic Data Warehouse===== ABSTRACT===== 1. INTRODUCTION===== 2. STORAGE VERSUS COMPUTE===== 3. ARCHITECTURE===== 4. FEATURE HIGHLIGHTS===== 5. RELATED WORK===== 6. LESSONS LEARNED AND OUTLOOKREFERENCES
Paper Reading java 大資料開發語言
06-11
[Paper Reading] Alibaba Hologres: A Cloud-Native Service for Hybrid Serving/Analytical Processing===== 3. Storage
Paper Reading 大資料
06-11
[paper reading] Trust Region Policy OptimizationTrust Region Policy Optimization
Paper Reading 強化學習
06-11
[Paper Reading] Bigtable: A Distributed Storage System for Structured Data===== 1. Introduction===== 2. Data Model===== 3. API===== 4. Building Blocks===== 5. Implementation===== 6. Refinements===== 7-9 略===== 10 Related Work
Paper Reading bigtable
06-08
Paper intensive reading (六)：Altered Interactions between the GM and Colonic Mucosa Precede Polyposis
Paper Reading
05-31
筆記： ICE-BA Incremental, Consistent and Efficient Bundle Adjustment
Paper Reading
05-22
強化學習——A3C,GA3C
Paper Reading
05-22
Paper Reading-2-Focal Loss for Dense Object Detection 及tensorflow實作
機器學習 tensorflow Paper Reading
05-22
Paper Reading-1-Recurrent neural network based language modelRecurrent neural network based language model說明引用文獻摘要緒論模型描述優化WSJ實驗NIST RT05實驗
機器學習 tensorflow Paper Reading NNLM AI
05-22