A Style-Based Generator Architecture for Generative Adversarial Networks
Karras et al. · CVPR · 2019
generative models
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Reading Notes
Paper summaries and thoughts on machine learning research
21 papers
9 categories
Domain Adversarial Training of Neural Networks
Ganin et al. · JMLR · 2016
domain adaptationrepresentation learning
Automatically Composing Representation Transformations as a Mean for Generalization
Chang et al. · ICLR · 2019
domain generalization
Learning a SAT Solver from Single-Bit Supervision
Selsam et al. · ICLR · 2019
structured learninglogics
A simple Neural Network Module for Relational Reasoning
Santoro et al. · NeurIPS · 2017
architectures
Glow: Generative Flow with Invertible 1×1 Convolutions
D. Kingma and P. Dhariwal · NeurIPS · 2018
generative modelsreversible networks
The Reversible Residual Network: Backpropagation Without Storing Activations
Gomez et al. · NeurIPS · 2017
architecturesreversible networks
Do Deep Generative Models Know what they don't Know ?
Nalisnick et al. · ICLR · 2019
adversarial examplesrobustness
Excessive Invariance Causes Adversarial Vulnerability
Jacobsen et al. · ICLR · 2019
adversarial examplesreversible networks
InfoVAE: Balancing Learning and Inference in Variational Autoencoders
Zhao et al. · AAAI · 2019
representation learning
Domain Generalization with Adversarial Feature Learning
Li et al. · CVPR · 2018
domain adaptationdomain generalization
LaSO: Label-Set Operations Networks for Multi-label Few-Shot Learning
Alfassy et al. · CVPR · 2019
few-shot learning
Gradient Reversal Against Discrimination
E. Raff and J. Sylvester · DSAA · 2018
representation learning
Adversarial Examples
2 Do Deep Generative Models Know what they don't Know ?
Nalisnick et al. · ICLR · 2019
adversarial examplesrobustness
Excessive Invariance Causes Adversarial Vulnerability
Jacobsen et al. · ICLR · 2019
adversarial examplesreversible networks
Architectures
2 A simple Neural Network Module for Relational Reasoning
Santoro et al. · NeurIPS · 2017
architectures
The Reversible Residual Network: Backpropagation Without Storing Activations
Gomez et al. · NeurIPS · 2017
architecturesreversible networks
Domain Adaptation
3 Domain Adversarial Training of Neural Networks
Ganin et al. · JMLR · 2016
domain adaptationrepresentation learning
Automatically Composing Representation Transformations as a Mean for Generalization
Chang et al. · ICLR · 2019
domain generalization
Domain Generalization with Adversarial Feature Learning
Li et al. · CVPR · 2018
domain adaptationdomain generalization
Few-Shot Learning
2 LaSO: Label-Set Operations Networks for Multi-label Few-Shot Learning
Alfassy et al. · CVPR · 2019
few-shot learning
Generative Models
3 A Style-Based Generator Architecture for Generative Adversarial Networks
Karras et al. · CVPR · 2019
generative models
Glow: Generative Flow with Invertible 1×1 Convolutions
D. Kingma and P. Dhariwal · NeurIPS · 2018
generative modelsreversible networks
Image Analysis
1 Reasoning
3 Representation Learning
3 InfoVAE: Balancing Learning and Inference in Variational Autoencoders
Zhao et al. · AAAI · 2019
representation learning
Gradient Reversal Against Discrimination
E. Raff and J. Sylvester · DSAA · 2018
representation learning
Structured Learning
2 Learning a SAT Solver from Single-Bit Supervision
Selsam et al. · ICLR · 2019
structured learninglogics