Index

(Generative Models) [2019]

A Style-Based Generator Architecture for Generative Adversarial Net...

(Architectures) [2017]

A simple Neural Network Module for Relational Reasoning

(Domain Adaptation) [2019]

Automatically Composing Representation Transformations as a Mean fo...

(Structured Learning) [2018]

Conditional Neural Processes

(Image Analsys) [2018]

Deep Image Prior

(Visual Reasoning) [2015]

Deep Visual Analogy Making

(Adversarial Examples) [2019]

Do Deep Generative Models Know what they don't Know ?

(Domain Adaptation) [2016]

Domain Adversarial Training of Neural Networks

(Domain Adaptation) [2018]

Domain Generalization with Adversarial Feature Learning

(Adversarial Examples) [2019]

Excessive Invariance Causes Adversarial Vulnerability

(Few-Shot Learning) [2017]

From Red Wine to Red Tomato: Composition with Context

(Generative Models) [2018]

Glow: Generative Flow with Invertible 1×1 Convolutions

(Representation Learning) [2018]

Gradient Reversal Against Discrimination

(Representation Learning) [2019]

InfoVAE: Balancing Learning and Inference in Variational Autoencoders

(Few-Shot Learning) [2019]

LaSO: Label-Set Operations Networks for Multi-label Few-Shot Learning

(Structured learning) [2019]

Learning a SAT Solver from Single-Bit Supervision

(Visual Reasoning) [2018]

Measuring Abstract Reasoning in Neural Networks

(Generative Models) [2017]

Neural Discrete Representation Learning

(Visual Reasoning) [2019]

The Neuro-Symbolic Concept Learner

(Architectures) [2017]

The Reversible Residual Network: Backpropagation Without Storing Ac...

(Representation Learning) [2016]

The Variational Fair Autoencoder

To Read

Adaptive Neural Trees
Analogs of Linguistic Structure in Deep Representations
Categorical Reparametrization with Gumbel-Softmax
Composition and Decomposition of GANs
Convolutional Sequence to Sequence Learning
Copy the Old or Paint Anew? An Adversarial Framework for (non-) Parametric Image Stylization
Deep Learning with Topological Signature
DeepSetNet: Predicting Sets with Deep Neural Networks
Do Neural Networks Show Gestalt Phenomena ?
Dueling Decoders: Regularizing Variational Autoencoder Latent Spaces
Dynamic Routing Between Capsules
Equivariant Transformer Networks
Escaping Plato’s Cave using Adversarial Training: 3D Shape From Unstructured 2D Image Collections
Evaluating ‘Graphical Perception’ with CNNs
GANs for Biological Image Synthesis
Generating Pixel Art from Game Characters with Convolutional-Neural Network
Geometry Score: A Method For Comparing Generative Adversarial Networks
From Machine Learning to Machine Reasoning
Image Transformer
InGAN: Capturing and Remapping the “DNA” of a Natural Image
InfoVAE: Balancing Learning and Inference in Variational Autoencoders
Introspective Classification with Convolutional Nets
Invertible Autoencoder for Domain Adaptation
Learning by Abstraction: The Neural State Machine
Learning Across Tasks and Domains
Learning Inductive Biases with Simple Neural Networks
Learning to describe scenes with programs
Learning to Generate the “Unseen” via Part Synthesis and Composition
Meta-Learning Tutorial
Partial Transfer Learning with Selective Adversarial Networks
Predicting the Future with Transformational States
Reconciling deep learning with symbolic artificial intelligence: representing objects and relations
Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction
Taming VAEs
The Measure of Intelligence
Time Agnostic Predictions: Predicting Predictable Video Frames
Towards Universal Object Detection by Domain Attention
Unsupervised Discovery of Object Landmarks as Structural Representations
Unsupervised Cipher Cracking using GANs
Unsupervised learning of object landmarks by factorized spatial embeddings
Weakly-supervised Semantic Parsing with Abstract Examples