PinnedDevin ZA Catalog of Notes on Software and Computer ScienceA recap at the end of 2022.Dec 31, 2022Dec 31, 2022
Devin Z[Paper Notes] Sampling-Bias-Corrected Neural Modeling for Large Corpus Item RecommendationsTwo-tower neural network for scalable item retrieval.Sep 22Sep 22
Devin Z[Paper Notes] Real-time Personalization using Embeddings for Search Ranking at AirbnbThe skip-gram model for item embeddings.Sep 20Sep 20
Devin Z[Paper Notes] Deep Neural Networks for YouTube RecommendationsNext watch classification and watch time prediction.Sep 18Sep 18
Devin Z[Paper Notes] Wide & Deep Learning for Recommender SystemsApps recommendation ranking at Google Play store.Sep 15Sep 15
Devin Z[Book Notes] Production Practices of Data Processing PipelinesNotes from the SRE book¹ and the SRE workbook².Apr 30Apr 30
Devin Z[Lecture Notes] Rasterization PipelineCMU 15–462: Introduction to Computer Graphics (Fall 2020)Apr 16Apr 16
Devin Z[Book Notes] Variational Autoencoders and Diffusion ModelsUnderstanding key technologies behind image generation.Mar 31Mar 31
Devin Z[Paper Notes] Wayformer: Motion Forecasting via Simple & Efficient Attention NetworksApplication of transformer models in autonomous driving.Feb 5Feb 5
![[Paper Notes] Sampling-Bias-Corrected Neural Modeling for Large Corpus Item Recommendations](https://miro.medium.com/v2/resize:fill:160:106/1*-LJ7X9pA84MlVa6P8xyf8Q.jpeg)
![[Paper Notes] Sampling-Bias-Corrected Neural Modeling for Large Corpus Item Recommendations](https://miro.medium.com/v2/resize:fill:320:214/1*-LJ7X9pA84MlVa6P8xyf8Q.jpeg)
![[Paper Notes] Real-time Personalization using Embeddings for Search Ranking at Airbnb](https://miro.medium.com/v2/resize:fill:160:106/1*v6UchKg78uUDHFeN_vLxUA.jpeg)
![[Paper Notes] Real-time Personalization using Embeddings for Search Ranking at Airbnb](https://miro.medium.com/v2/resize:fill:320:214/1*v6UchKg78uUDHFeN_vLxUA.jpeg)
![[Paper Notes] Deep Neural Networks for YouTube Recommendations](https://miro.medium.com/v2/resize:fill:160:106/1*RYicA9e7VLwKHhyJtYmdtw.jpeg)
![[Paper Notes] Deep Neural Networks for YouTube Recommendations](https://miro.medium.com/v2/resize:fill:320:214/1*RYicA9e7VLwKHhyJtYmdtw.jpeg)
![[Paper Notes] Wide & Deep Learning for Recommender Systems](https://miro.medium.com/v2/resize:fill:160:106/1*3XmRv2iCcqwc5PBBJicHWA.jpeg)
![[Paper Notes] Wide & Deep Learning for Recommender Systems](https://miro.medium.com/v2/resize:fill:320:214/1*3XmRv2iCcqwc5PBBJicHWA.jpeg)
![[Book Notes] Production Practices of Data Processing Pipelines](https://miro.medium.com/v2/resize:fill:160:106/1*sNbv4HyP5FJKl84XINt0Mg.jpeg)
![[Book Notes] Production Practices of Data Processing Pipelines](https://miro.medium.com/v2/resize:fill:320:214/1*sNbv4HyP5FJKl84XINt0Mg.jpeg)
![[Lecture Notes] Rasterization Pipeline](https://miro.medium.com/v2/resize:fill:160:106/1*6wcRTH__Pg7TSi0rU_pgZw.jpeg)
![[Lecture Notes] Rasterization Pipeline](https://miro.medium.com/v2/resize:fill:320:214/1*6wcRTH__Pg7TSi0rU_pgZw.jpeg)
![[Book Notes] Variational Autoencoders and Diffusion Models](https://miro.medium.com/v2/resize:fill:160:106/1*5GypUq_0HOAS8tB_gsBW0Q.jpeg)
![[Book Notes] Variational Autoencoders and Diffusion Models](https://miro.medium.com/v2/resize:fill:320:214/1*5GypUq_0HOAS8tB_gsBW0Q.jpeg)
![[Paper Notes] Wayformer: Motion Forecasting via Simple & Efficient Attention Networks](https://miro.medium.com/v2/resize:fill:160:106/1*4HjBiszJyvnnaB_vjA5rdg.jpeg)
![[Paper Notes] Wayformer: Motion Forecasting via Simple & Efficient Attention Networks](https://miro.medium.com/v2/resize:fill:320:214/1*4HjBiszJyvnnaB_vjA5rdg.jpeg)
