David Ha
8 papers · 2018–2021 · 5 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Cross-Pollinator (15) π£ Hot Topic Early Bird π Renaissance Researcher (6) π Interdisciplinary Bridge
π
Conference Polyglot
(5)
πΊοΈ
Taxonomy Completionist
(23)
π±
Topic Pioneer
π
Trend Setter
π
Conference Pioneer
Conferences
NIPS (4)
ICCV (1)
ICLR (1)
ICML (1)
WACV (1)
Top co-authors
Keywords
reinforcement learning
(3)
world model
(2)
model-based reinforcement learning
(2)
representation learning
(2)
domain generalization
(1)
variational inference
(1)
transfer learning
(1)
domain adaptation
(1)
attention mechanism
(1)
neural architecture search
(1)
image translation
(1)
continuous control
(1)
sketch recognition
(1)
generative model
(1)
latent representation
(1)
convolutional neural network
(1)
recurrent 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
NIPS 2021
SketchTransfer: A New Dataset for Exploring Detail-Invariance and the Abstractions Learned by Deep Networks
WACV 2020
Weight Agnostic Neural Networks
NIPS 2019
A Learned Representation for Scalable Vector Graphics
ICCV 2019
Learning to Predict Without Looking Ahead: World Models Without Forward Prediction
NIPS 2019
Learning Latent Dynamics for Planning from Pixels
ICML 2019
Recurrent World Models Facilitate Policy Evolution
NIPS 2018
A Neural Representation of Sketch Drawings
ICLR 2018