Recent Readings for Generative Deep Neural Networks (since 2017)


5Generative (Index of Posts):

No. Read Date Title and Information We Read @
1 2019, Dec, 9 deep2reproduce 2019 Fall - 5Generative papers 2019-fall Students deep2reproduce
2 2019, Mar, 29 GNN for NLP QA 2019-W11
3 2019, Mar, 15 GNN for Graph Generation 2019-W8
4 2018, Dec, 29 Generate18- Deep Generative Models for discrete 2018-team
5 2018, Dec, 21 Generate18- Deep Generative Models for Graphs 2018-team
6 2018, Aug, 23 Generative18 -A few more deep discrete Generative Models 2018-team
7 2018, Apr, 20 Generative18 -Generative Adversarial Network (classified) 2018-team
8 2017, Nov, 16 Generative III - GAN training 2017-W13
9 2017, Nov, 14 Generative II - Deep Generative Models 2017-W13
10 2017, Aug, 31 Generative I - GAN tutorial by Ian Goodfellow 2017-W2
11 2017, May, 22 Generative17- Generative Deep Networks 2017-team

[1]: Generative17- Generative Deep Networks

5Generative generative GAN
Presenter Papers Paper URL Our Slides
Tobin Energy-Based Generative Adversarial Network 1 PDF PDF
Jack Three Deep Generative Models PDF PDF

[2]: Generative I - GAN tutorial by Ian Goodfellow

5Generative 0Basics generative GAN
Presenter Papers Paper URL Our Slides
NIPS 2016 ganerative adversarial network tutorial (NIPS 2016) paper + video + code  
DLSS 2017 Generative Models I - DLSS 2017 slideraw + video + slide  

[3]: Generative II - Deep Generative Models

5Generative generative attention Composition graphical-model Autoregressive structured
Presenter Papers Paper URL Our Slides
ChaoJiang Courville - Generative Models II DLSS17Slide + video PDF
GaoJi Attend, Infer, Repeat: Fast Scene Understanding with Generative Models, NIPS16 1 PDF + talk PDF
Arshdeep Composing graphical models with neural networks for structured representations and fast inference, NIPS16 2 PDF PDF
  Johnson - Graphical Models and Deep Learning DLSSSlide + video  
  Parallel Multiscale Autoregressive Density Estimation, ICML17 3 PDF  
Beilun Conditional Image Generation with Pixel CNN Decoders, NIPS16 4 PDF PDF
Shijia Marrying Graphical Models & Deep Learning DLSS17 + Video PDF

[4]: Generative III - GAN training

5Generative generative generalization Denoising Model-Criticism
Presenter Papers Paper URL Our Slides
Arshdeep Generalization and Equilibrium in Generative Adversarial Nets (ICML17) 1 PDF + video PDF
Arshdeep Mode Regularized Generative Adversarial Networks (ICLR17) 2 PDF PDF
Bargav Improving Generative Adversarial Networks with Denoising Feature Matching, ICLR17 3 PDF PDF
Anant Generative Models and Model Criticism via Optimized Maximum Mean Discrepancy, ICLR17 4 PDF + code PDF

[5]: Generative18 -Generative Adversarial Network (classified)

5Generative DNA generative GAN generalization
Presenter Papers Paper URL Our Slides
BrandonLiu Summary of Recent Generative Adversarial Networks (Classified)   PDF
Jack Generating and designing DNA with deep generative models, Nathan Killoran, Leo J. Lee, Andrew Delong, David Duvenaud, Brendan J. Frey PDF PDF
GaoJi More about basics of GAN   PDF
  McGan: Mean and Covariance Feature Matching GAN, PMLR 70:2527-2535 PDF  
  Wasserstein GAN, ICML17 PDF  
  Geometrical Insights for Implicit Generative Modeling, L Bottou, M Arjovsky, D Lopez-Paz, M Oquab PDF  

[6]: Generative18 -A few more deep discrete Generative Models

5Generative 9DiscreteApp generative generalization GAN discrete Amortized Autoencoder Variational program
Presenter Papers Paper URL Our Slides
Arshdeep The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables, Chris J. Maddison, Andriy Mnih, Yee Whye Teh 1 PDF PDF
GaoJi Summary Of Several Autoencoder models PDF PDF
GaoJi Latent Constraints: Learning to Generate Conditionally from Unconditional Generative Models, Jesse Engel, Matthew Hoffman, Adam Roberts 2 PDF PDF
GaoJi Summary of A Few Recent Papers about Discrete Generative models, SeqGAN, MaskGAN, BEGAN, BoundaryGAN PDF PDF
Arshdeep Semi-Amortized Variational Autoencoders, Yoon Kim, Sam Wiseman, Andrew C. Miller, David Sontag, Alexander M. Rush 3 PDF PDF
Arshdeep Synthesizing Programs for Images using Reinforced Adversarial Learning, Yaroslav Ganin, Tejas Kulkarni, Igor Babuschkin, S.M. Ali Eslami, Oriol Vinyals 4 PDF PDF

[7]: Generate18- Deep Generative Models for Graphs

5Generative 2Graphs generative GAN discrete Autoencoder Variational molecule graph DNA
Presenter Papers Paper URL Our Slides
Arshdeep Constrained Graph Variational Autoencoders for Molecule Design PDF PDF
Arshdeep Learning Deep Generative Models of Graphs PDF PDF
Arshdeep Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation PDF PDF
Jack Generating and designing DNA with deep generative models PDF PDF

[8]: Generate18- Deep Generative Models for discrete

5Generative 2Graphs generative GAN discrete Autoencoder Variational
Presenter Papers Paper URL Our Slides
Tkach Boundary-Seeking Generative Adversarial Networks PDF PDF
Tkach Maximum-Likelihood Augmented Discrete Generative Adversarial Networks PDF PDF
Tkach Generating Sentences from a Continuous Space PDF PDF

[9]: GNN for Graph Generation

2Graphs 5Generative generative GAN graph NLP graphical-model discrete RNN robustness molecule Variational Autoencoder RL Beam imputation Matrix-Completion random
Presenter Papers Paper URL Our Slides
Generate Maximum-Likelihood Augmented Discrete Generative Adversarial Networks PDF Tkach PDF + GaoJi Pdf
Generate Graphical Generative Adversarial Networks PDF Arshdeep PDF
Generate GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models, ICML2018 PDF Arshdeep PDF
Generate Inference in probabilistic graphical models by Graph Neural Networks PDF Arshdeep PDF
Generate Encoding robust representation for graph generation Pdf Arshdeep PDF
Generate Junction Tree Variational Autoencoder for Molecular Graph Generation Pdf Tkach PDF + Arshdeep Pdf
Generate Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation NeurIPS18   Tkach PDF
Generate Towards Variational Generation of Small Graphs Pdf Tkach PDF + Arshdeep Pdf
Generate Convolutional Imputation of Matrix Networks Pdf Tkach PDF
Generate Graph Convolutional Matrix Completion Pdf Tkach PDF
Generate NetGAN: Generating Graphs via Random Walks ICML18 [ULR] Tkach PDF
Beam Stochastic Beams and Where to Find Them: The Gumbel-Top-k Trick for Sampling Sequences Without Replacement URL Tkach PDF

[10]: GNN for NLP QA

2Graphs 9DiscreteApp 5Generative generative QA NLP knowledge-graph GAN graph stylometric
Presenter Papers Paper URL Our Slides
QA A Comparison of Current Graph Database Models Pdf + PDF2 Bill PDF
QA Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text Pdf Bill [PDF + GaoJi Pdf
QA Generative Question Answering: Learning to Answer the Whole Question, Mike Lewis, Angela Fan Pdf Bill PDF + GaoJi Pdf
QA Learning to Reason Science Exam Questions with Contextual Knowledge Graph Embeddings / Knowledge Graph Embedding via Dynamic Mapping Matrix PDF + Pdf Bill PDF + GaoJi Pdf
Text Adversarial Text Generation via Feature-Mover’s Distance URL Faizan PDF
Text Content preserving text generation with attribute controls URL Faizan PDF
Text Multiple-Attribute Text Rewriting, ICLR, 2019, URL Faizan PDF
Text Writeprints: a stylometric approach to identity level identification and similarity detection in cyberSpace URL Faizan PDF

[11]: deep2reproduce 2019 Fall - 5Generative papers

5Generative GAN VAE encoder-decoder
Team INDEX Title & Link Tags Our Slide
T14 CAN: Creative Adversarial Networks Generating “Art” GAN OurSlide
T26 Unsupervised Discrete Sentence Representation Learning for Interpretable Neural Dialog Generation encoder-decoder, dialog, VAE, Interpretable OurSlide
T32 Which Training Methods for GANs do actually Converge convergence, optimization, GAN OurSlide
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