Website for UVA Qdata Group's Deep Learning Reading Group


This website includes a (growing) list of papers and lectures we read about deep learning and related. Feel free to submit pull requests when you find my typos or have comments. The covered materials are by no means an exhaustive list, but are papers that we have read or plan to learn in our reading group.


No. Date-Read Title and Information PaperYear
1 2018, Aug, 17 Summer18 Review VIIII
2 2018, Aug, 10 Summer18 Review VIII
3 2018, Aug, 3 Summer18 Review VII
4 2018, Jul, 27 Summer18 Review VI
5 2018, Jul, 20 Summer18 Review V
6 2018, Jun, 29 Summer18 Review IV
7 2018, Jun, 22 Summer18 Review III
8 2018, Jun, 1 Summer18 Review II
9 2018, May, 25 Summer18 Review I
10 2018, Feb, 20 My Survey Talk at UVA HMI Seminar - A quick and rough overview of DNN 2018
11 2018, Jan, 10 Generative - Geometrical Insights for Implicit Generative Modeling 2018
12 2017, Nov, 30 RL IV - RL with varying structures 2017-W15
13 2017, Nov, 28 RL III - Basic tutorial RLSS17 (2) 2017-W14
14 2017, Nov, 21 RL II - Basic tutorial RLSS17 2017-W14
15 2017, Nov, 16 Generative III - GAN and More 2017-W13
16 2017, Nov, 14 Generative II - Deep Generative Models 2017-W13
17 2017, Nov, 9 Optimization IV - DNN for Optimization 2 2017-W12
18 2017, Nov, 7 Optimization III - Optimization for DNN 2017-W12
19 2017, Nov, 2 Optimization II - DNN for Optimization 2017-W11
20 2017, Oct, 31 Optimization I - Understanding DNN Optimization 2017-W11
21 2017, Oct, 26 Reliable Applications VI - Robustness 2017-W10
22 2017, Oct, 24 Reliable Applications V - Understanding 2017-W10
23 2017, Oct, 19 Reliable Applications IV - Robustness to Data 2017-W9
24 2017, Oct, 17 Reliable Applications III - Data 2017-W9
25 2017, Oct, 12 Reliable Applications II - Data 2017-W8
26 2017, Oct, 10 Reliable Applications I - Understanding 2017-W8
27 2017, Oct, 5 Structure VI - DNN with Adaptive Structures 2017-W7
28 2017, Oct, 3 Structure V - DNN with Memory 2017-W7
29 2017, Sep, 28 Structure IV - DNN with Attention 2 2017-W6
30 2017, Sep, 26 Structure III - DNN with Attention 2017-W6
31 2017, Sep, 21 Structure II - DNN with Varying Structures 2017-W5
32 2017, Sep, 19 Structure I - Varying DNN structures for an application 2017-W5
33 2017, Sep, 14 Foundations VI - More about Behaviors of DNN 2017-W4
34 2017, Sep, 12 Foundations V - More about Behaviors of DNN 2017-W4
35 2017, Sep, 7 Foundations IV - Investigating Behaviors of DNN 2017-W3
36 2017, Sep, 5 Foundations III - Investigating Behaviors of DNN 2017-W3
37 2017, Aug, 31 Generative I - GAN tutorial by Ian Goodfellow 2017-W2
38 2017, Aug, 29 Reinforcement I - Pineau - RL Basic Concepts 2017-W2
39 2017, Aug, 24 Foundations II - Ganguli - Theoretical Neuroscience and Deep Learning DLSS16 2017-W1
40 2017, Aug, 22 Foundations I -Andrew Ng - Nuts and Bolts of Applying Deep Learning 2017-W1