Sebastian Borgeaud
8 papers · 2019–2022 · 4 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (22) π₯ Mega-Team Β· Squad
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Triple Crown
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Prolific Year Β· Productive
Venues
Top co-authors
Research topics
Keywords
image captioning
(2)
scaling law
(2)
few-shot learning
(1)
visual question answering
(1)
machine translation
(1)
question answering
(1)
multimodal learning
(1)
mixture of expert
(1)
token scaling
(1)
object tracking
(1)
document retrieval
(1)
optical flow estimation
(1)
sentence similarity
(1)
autoregressive model
(1)
text generation
(1)
density estimation
(1)
model scaling
(1)
parameter efficiency
(1)
reinforcement learning
(1)
unsupervised learning
(1)
Papers
An empirical analysis of compute-optimal large language model training
NeurIPS 2022
Flamingo: a Visual Language Model for Few-Shot Learning
NeurIPS 2022
General-purpose, long-context autoregressive modeling with Perceiver AR
ICML 2022
Improving Language Models by Retrieving from Trillions of Tokens
ICML 2022
Perceiver IO: A General Architecture for Structured Inputs & Outputs
ICLR 2022
Unified Scaling Laws for Routed Language Models
ICML 2022
Leveraging Sentence Similarity in Natural Language Generation: Improving Beam Search using Range Voting
ACL 2020
Unsupervised Learning of Object Keypoints for Perception and Control
NeurIPS 2019