Mike Wu
9 papers · 2018–2022 · 4 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Bronze 🌍 Conference Polyglot · Bronze 🗺️ Taxonomy Completionist (36) 🐣 Hot Topic Early Bird 🔥 Unstoppable · Bronze
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Conference Pioneer
🗃️
Keyword Collector
(51)
Venues
Top co-authors
Research topics
Machine Learning
(9)
Deep Learning
(8)
Artificial Intelligence
(6)
Learning Types · Machine Learning
(6)
Models
(5)
Core AI
(4)
Learning Types · Deep Learning
(4)
Bayesian & Probabilistic · Machine Learning
(3)
Application Areas
(2)
Bayesian & Probabilistic · Artificial Intelligence
(2)
Core Methods
(2)
Learning Paradigms
(2)
Healthcare & Medicine
(1)
Interdisciplinary
(1)
Architectures
(1)
Keywords
generative model
(4)
neural network
(2)
amortized inference
(2)
variational inference
(2)
variational autoencoder
(2)
transfer learning
(1)
image translation
(1)
contrastive learning
(1)
multimodal learning
(1)
data augmentation
(1)
adversarial learning
(1)
visual representation
(1)
neural network interpretability
(1)
monte carlo estimation
(1)
variance reduction
(1)
weakly supervised learning
(1)
posterior inference
(1)
monte carlo sampling
(1)
probabilistic programming
(1)
mutual information
(1)
Papers
Foundation Posteriors for Approximate Probabilistic Inference
NeurIPS 2022
Conditional Negative Sampling for Contrastive Learning of Visual Representations
ICLR 2021
Improving Compositionality of Neural Networks by Decoding Representations to Inputs
NeurIPS 2021
Viewmaker Networks: Learning Views for Unsupervised Representation Learning
ICLR 2021
Meta-Amortized Variational Inference and Learning
AAAI 2020
Regional Tree Regularization for Interpretability in Deep Neural Networks
AAAI 2020
Differentiable Antithetic Sampling for Variance Reduction in Stochastic Variational Inference
AISTATS 2019
Zero Shot Learning for Code Education: Rubric Sampling with Deep Learning Inference
AAAI 2019
Multimodal Generative Models for Scalable Weakly-Supervised Learning
NeurIPS 2018