Andrew Lampinen
12 papers · 2020–2023 · 4 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (30) π Conference Polyglot (4) π Renaissance Researcher (5) π§ Keyword Pioneer
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Conference Polyglot
(4)
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Renaissance Researcher
(5)
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Prolific Year
(5)
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Century Club
(12)
β
The Questioner
(2)
ποΈ
Keyword Collector
(53)
Conferences
NIPS (7)
EMNLP (2)
ICLR (2)
EACL (1)
Top co-authors
Keywords
in-context learning
(3)
language model
(3)
few-shot learning
(3)
prompt engineering
(2)
state abstraction
(1)
explanation generation
(1)
learning theory
(1)
anomaly detection
(1)
reinforcement learning
(1)
knowledge transfer
(1)
domain adaptation
(1)
feature representation
(1)
imitation learning
(1)
model architecture
(1)
contrastive learning
(1)
instruction tuning
(1)
distribution shift
(1)
policy improvement
(1)
passive learning
(1)
representation learning
(1)
Papers
Symbol tuning improves in-context learning in language models
EMNLP 2023
Passive learning of active causal strategies in agents and language models
NIPS 2023
Combining Behaviors with the Successor Features Keyboard
NIPS 2023
Improving neural network representations using human similarity judgments
NIPS 2023
Know your audience: specializing grounded language models with listener subtraction
EACL 2023
Data Distributional Properties Drive Emergent In-Context Learning in Transformers
NIPS 2022
Semantic Exploration from Language Abstractions and Pretrained Representations
NIPS 2022
Can language models learn from explanations in context?
EMNLP 2022
Towards mental time travel: a hierarchical memory for reinforcement learning agents
NIPS 2021
Automated curriculum generation through setter-solver interactions
ICLR 2020
Environmental drivers of systematicity and generalization in a situated agent
ICLR 2020
What shapes feature representations? Exploring datasets, architectures, and training
NIPS 2020