1 | Data Management Reading Group CSE 590Q - Fall 2017 | ||||
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2 | (Mondays @ 2:30 in DB lab, CSE 405, unless noted otherwise) Topic: Deep Learning Meets DB | ||||
3 | |||||
4 | Presenter(s) | Paper | Other notes | ||
5 | 10/2/2017 | Tomer | Database Meets Deep Learning: Challenges and Opportunities (SIGMOD Record 2016) | ||
6 | 10/9/2017 | Brandon | Optasia: A Relational Platform for Efficient Large-Scale Video Analytics (SoCC 16) | ||
7 | 10/16/2017 | Walter, Parmita | Cardinality estimation using neural networks (CASCON '15) | ||
8 | 10/23/2017 | Dylan, Maaz | SystemML: Declarative Machine Learning on Spark | Slides! | |
9 | 10/30/2017 | cancelled for SIGMOD 11/2 deadline? | |||
10 | 11/6/2017 | ||||
11 | 11/13/2017 | Jenny, Shrainik | Resource Management with Deep Reinforcement Learning (HotNets 2016) | ||
12 | 11/20/2017 | Helga | Quals | ||
13 | 11/27/2017 | Visitor | |||
14 | 12/4/2017 | Guna, Laurel | TensorFlow: A System for Large-Scale Machine Learning (OSDI 2016) AND/OR Final wrap up Discussion | Slides | |
15 | |||||
16 | Colin Evans? | Ian Covert? | |||
17 | Dominik | ||||
18 | NOTES | ||||
19 | Edit link | ||||
20 | Suggested papers for this quarter: | ||||
21 | Type | ||||
22 | Database Meets Deep Learning: Challenges and Opportunities (SIGMOD Record 2016) | Gen | |||
23 | Cardinality estimation using neural networks (CASCON '15) | Using ML for DB | |||
24 | Resource Management with Deep Reinforcement Learning (HotNets 2016) | Using ML for Sys | |||
25 | NoScope: Optimizing Neural Network Queries over Video at Scale (VLDB 17) | ML Sys | |||
26 | Optasia: A Relational Platform for Efficient Large-Scale Video Analytics (SoCC 16) | ML Sys | |||
27 | Effective deep learning-based multi-modal retrieval (VLDB Journal 2016) | Using ML for IR | |||
28 | Project Adam: Building an Efficient and Scalable Deep Learning Training System (OSDI 2014) | ML Sys | |||
29 | Database Integration Using Neural Networks: Implementation and Experiences (2000) -- maybe? can't seem to find a copy | Using ML for DB | |||
30 | PyTorch : Case Study | ML Sys | |||
31 | White paper on Tensor Flow | ML Sys | |||
32 | Invite DL practitioners - small panel discussion? ask about their workflow, current data management hacks, empirical research etc. | Informal | |||
33 | SystemML | Dylan | |||