Sebastian Borgeaud
8 papers · 2019–2022 · 4 conferences · across top CS/AI conferences
Achievements
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π Renaissance Researcher (5) πΊοΈ Taxonomy Completionist (21) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (4)
π£
Hot Topic Early Bird
π
Cross-Pollinator
(10)
π₯
Mega-Team
(28)
π
Triple Crown
β‘
Prolific Year
(6)
Conferences
ICML (3)
NIPS (3)
ACL (1)
ICLR (1)
Top co-authors
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)
beam search
(1)
object tracking
(1)
document retrieval
(1)
sentence similarity
(1)
autoregressive model
(1)
text generation
(1)
density estimation
(1)
model scaling
(1)
parameter efficiency
(1)
token scaling
(1)
reinforcement learning
(1)
unsupervised learning
(1)
Papers
General-purpose, long-context autoregressive modeling with Perceiver AR
ICML 2022
Flamingo: a Visual Language Model for Few-Shot Learning
NIPS 2022
An empirical analysis of compute-optimal large language model training
NIPS 2022
Improving Language Models by Retrieving from Trillions of Tokens
ICML 2022
Unified Scaling Laws for Routed Language Models
ICML 2022
Perceiver IO: A General Architecture for Structured Inputs & Outputs
ICLR 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
NIPS 2019