Timo Schick
22 papers · 2019–2024 · 10 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 5 separate collaboration groups - the largest holds only 41% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Timo Schick?
3 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Hinrich Schütze, Helmut Schmid
9 papers
· 2019–2021
· EMNLP, NAACL, AAAI
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Exploiting Cloze-Questions for Few-Shot Text Classification and Natural Language Inference
EACL 2021
Few-Shot Text Generation with Natural Language Instructions
EMNLP 2021
Generating Datasets with Pretrained Language Models
EMNLP 2021
It’s Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners
NAACL 2021
Automatically Identifying Words That Can Serve as Labels for Few-Shot Text Classification
COLING 2020
BERTRAM: Improved Word Embeddings Have Big Impact on Contextualized Model Performance
ACL 2020
Rare Words: A Major Problem for Contextualized Embeddings and How to Fix it by Attentive Mimicking
AAAI 2020
Attentive Mimicking: Better Word Embeddings by Attending to Informative Contexts
NAACL 2019
Learning Semantic Representations for Novel Words: Leveraging Both Form and Context
AAAI 2019