Reading Notes


(Structured Learning) [2018]
(Image Analsys) [2018]
(Visual Reasoning) [2015]
(Representation Learning) [2018]
(Generative Models) [2017]
(Visual Reasoning) [2019]
(Representation Learning) [2016]

To Read

Image Transformer
Dueling Decoders: Regularizing Variational Autoencoder Latent Spaces
Convolutional Sequence to Sequence Learning
Invertible Autoencoder for domain adaptation
Adaptive Neural Trees
Reconciling deep learning with symbolic artificial intelligence: representing objects and relations
From Machine Learning to Machine Reasoning
Not-So-CLEVR: Visual relations Strain Feed-forward Neural Networks
Learning Inductive Biases with Simple Neural Networks
Do Neural Networks Show Gestalt Phenomena ?
Learning to describe scenes with programs
Meta-Learning Tutorial
Learning to Generate the “Unseen” via Part Synthesis and Composition
Taming VAEs
Composition and Decomposition of GANs
Hierarchical Neural Story Generation
Escaping Plato’s Cave using Adversarial Training: 3D Shape From Unstructured 2D Image Collections
Learning Across Tasks and Domains
Towards Universal Object Detection by Domain Attention
Equivariant Transformer Networks
Are Adversariable Examples Inevitable ?
Time Agnostic Predictions: Predicting Predictable Video Frames
Analogs of Linguistic Structure in Deep Representations
Copy the Old or Paint Anew? An Adversarial Framework for (non-) Parametric Image Stylization
Partial Transfer Learning with Selective Adversarial Networks