← Authors

Elliot Meyerson

7 papers · 2018–2025 · 3 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (3) πŸƒ Academic Marathon (7) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (15) πŸš€ Conference Pioneer

Conferences

ICLR (3) ICML (2) NIPS (2)

Top co-authors

Risto Miikkulainen (6) Xin Qiu (2) Olivier Francon (1) Babak Hodjat (1) Darren Sargent (1)

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 Sharingβ€”and Back ICML 2018
Beyond Shared Hierarchies: Deep Multitask Learning through Soft Layer Ordering ICLR 2018