Risto Miikkulainen
16 papers · 2008–2024 · 6 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (28) 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Full 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird
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Keyword Pioneer
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Grand Slam
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Conference Pioneer
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Unstoppable · Bronze
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Century Club · Bronze
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Research topics
Machine Learning
(14)
Optimization & Theory
(9)
Deep Learning
(8)
Artificial Intelligence
(6)
Architectures
(5)
Learning Paradigms
(4)
Learning Types
(4)
Core AI
(3)
Techniques
(3)
Application Areas
(2)
Core Methods
(2)
Mathematics & Optimization
(1)
Natural Language Processing
(1)
Reinforcement Learning
(1)
Bayesian & Probabilistic
(1)
Keywords
multi-task learning
(4)
neural network
(4)
uncertainty quantification
(3)
evolutionary algorithm
(3)
transfer learning
(2)
neural network optimization
(2)
activation function
(2)
gaussian process
(2)
policy optimization
(1)
graph matching
(1)
probabilistic modeling
(1)
vision transformer
(1)
knowledge distillation
(1)
policy learning
(1)
hyperparameter optimization
(1)
domain adaptation
(1)
online learning
(1)
deep learning
(1)
error detection
(1)
graph representation
(1)
Papers
NeuroBack: Improving CDCL SAT Solving using Graph Neural Networks
ICLR 2024
Semantic Density: Uncertainty Quantification for Large Language Models through Confidence Measurement in Semantic Space
NeurIPS 2024
Unlocking the Potential of Global Human Expertise
NeurIPS 2024
AutoInit: Analytic Signal-Preserving Weight Initialization for Neural Networks
AAAI 2023
Efficient Activation Function Optimization through Surrogate Modeling
NeurIPS 2023
Shortest Edit Path Crossover: A Theory-driven Solution to the Permutation Problem in Evolutionary Neural Architecture Search
ICML 2023
Detecting Misclassification Errors in Neural Networks with a Gaussian Process Model
AAAI 2022
The Traveling Observer Model: Multi-task Learning Through Spatial Variable Embeddings
ICLR 2021
Characterizing Dynamic Word Meaning Representations in the Brain
COLING 2020
Quantifying Point-Prediction Uncertainty in Neural Networks via Residual Estimation with an I/O Kernel
ICLR 2020
Enhancing Evolutionary Conversion Rate Optimization via Multi-Armed Bandit Algorithms
AAAI 2019
Modular Universal Reparameterization: Deep Multi-task Learning Across Diverse Domains
NeurIPS 2019
Beyond Shared Hierarchies: Deep Multitask Learning through Soft Layer Ordering
ICLR 2018
Pseudo-task Augmentation: From Deep Multitask Learning to Intratask Sharing—and Back
ICML 2018
Using Symmetry and Evolutionary Search to Minimize Sorting Networks
JMLR 2013
Accelerated Neural Evolution through Cooperatively Coevolved Synapses
JMLR 2008