Jordan T. Ash
9 papers · 2019–2025 · 4 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (4) 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🏃 Academic Marathon (6)
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Keyword Pioneer
🐣
Hot Topic Early Bird
🌍
Conference Polyglot
(4)
🏆
Keyword Champion
📈
Trend Setter
🚀
Conference Pioneer
Conferences
ICLR (5)
ICML (2)
NIPS (1)
UAI (1)
Top co-authors
Keywords
active learning
(1)
reinforcement learning
(1)
continual learning
(1)
medical imaging
(1)
neural network optimization
(1)
gene expression
(1)
uncertainty sampling
(1)
batch active learning
(1)
streaming algorithm
(1)
convolutional neural network
(1)
deep neural network
(1)
plasticity loss
(1)
on-policy learning
(1)
batch sampling
(1)
probabilistic canonical correlation analysis
(1)
multimodal modeling
(1)
streaming setting
(1)
Papers
Self-Improvement in Language Models: The Sharpening Mechanism
ICLR 2025
On the Query Complexity of Verifier-Assisted Language Generation
ICML 2025
A Study of Plasticity Loss in On-Policy Deep Reinforcement Learning
NIPS 2024
The Truth is in There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction
ICLR 2024
Streaming Active Learning with Deep Neural Networks
ICML 2023
Transformers Learn Shortcuts to Automata
ICLR 2023
Anti-Concentrated Confidence Bonuses For Scalable Exploration
ICLR 2022
Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds
ICLR 2020
End-to-end Training of Deep Probabilistic CCA on Paired Biomedical Observations
UAI 2019