Elliot Meyerson
7 papers · 2018–2025 · 3 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (3) π Academic Marathon (7) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (15)
π
Conference Pioneer
Conferences
ICLR (3)
ICML (2)
NIPS (2)
Top co-authors
Keywords
multi-task learning
(1)
policy optimization
(1)
transfer learning
(1)
domain adaptation
(1)
knowledge distillation
(1)
multitask learning
(1)
deep learning
(1)
evolutionary algorithm
(1)
neural network
(1)
pseudo-task augmentation
(1)
task sharing
(1)
modular reparameterization
(1)
model recombination
(1)
Papers
Position: Scaling LLM Agents Requires Asymptotic Analysis with LLM Primitives
ICML 2025
Unlocking the Potential of Global Human Expertise
NIPS 2024
The Traveling Observer Model: Multi-task Learning Through Spatial Variable Embeddings
ICLR 2021
Quantifying Point-Prediction Uncertainty in Neural Networks via Residual Estimation with an I/O Kernel
ICLR 2020
Modular Universal Reparameterization: Deep Multi-task Learning Across Diverse Domains
NIPS 2019
Pseudo-task Augmentation: From Deep Multitask Learning to Intratask Sharingβand Back
ICML 2018
Beyond Shared Hierarchies: Deep Multitask Learning through Soft Layer Ordering
ICLR 2018