David Ha
8 papers · 2018–2021 · 5 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (26) 🐣 Hot Topic Early Bird 🚀 Conference Pioneer
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Trend Setter
Venues
Top co-authors
Research topics
Deep Learning
(6)
Machine Learning
(6)
Core Methods
(4)
Artificial Intelligence
(3)
Reinforcement Learning
(3)
Core AI
(3)
Learning Types · Machine Learning
(3)
Learning Types · Deep Learning
(3)
Methods
(3)
Models
(3)
Computer Vision
(2)
Architectures
(2)
Generation
(2)
Mathematics & Optimization
(1)
Analysis
(1)
Keywords
reinforcement learning
(3)
recurrent neural network
(2)
world model
(2)
model-based reinforcement learning
(2)
representation learning
(2)
variational inference
(1)
transfer learning
(1)
domain adaptation
(1)
attention mechanism
(1)
conditional generation
(1)
neural architecture search
(1)
image translation
(1)
continuous control
(1)
sketch recognition
(1)
generative model
(1)
latent representation
(1)
convolutional neural network
(1)
latent dynamics
(1)
permutation invariance
(1)
evolution strategy
(1)
Papers
The Sensory Neuron as a Transformer: Permutation-Invariant Neural Networks for Reinforcement Learning
NeurIPS 2021
SketchTransfer: A New Dataset for Exploring Detail-Invariance and the Abstractions Learned by Deep Networks
WACV 2020
A Learned Representation for Scalable Vector Graphics
ICCV 2019
Learning Latent Dynamics for Planning from Pixels
ICML 2019
Learning to Predict Without Looking Ahead: World Models Without Forward Prediction
NeurIPS 2019
Weight Agnostic Neural Networks
NeurIPS 2019
A Neural Representation of Sketch Drawings
ICLR 2018
Recurrent World Models Facilitate Policy Evolution
NeurIPS 2018