Diego de Las Casas
4 papers · 2022–2023 · 3 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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Conference Polyglot · Bronze
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(13)
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Hot Topic Early Bird
👥
Mega-Team · Squad
Venues
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Research topics
Machine Learning
(3)
Natural Language Processing
(3)
Optimization & Theory · Machine Learning
(2)
Resources & Methods
(2)
Artificial Intelligence
(1)
Computer Vision
(1)
Deep Learning
(1)
Analysis
(1)
Application Areas
(1)
Applications
(1)
Core AI
(1)
Generation
(1)
Learning Types
(1)
Models
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
scaling law
(2)
transfer learning
(1)
question answering
(1)
document retrieval
(1)
visual classification
(1)
sequential learning
(1)
mixture of expert
(1)
model scaling
(1)
parameter efficiency
(1)
task adaptation
(1)
token scaling
(1)
knowledge-intensive task
(1)
routing network
(1)
retrieval-augmented language model
(1)
large language model
(1)
transformer model
(1)
compute-optimal training
(1)
continual learning
(1)
effective parameter count
(1)
Papers
Nevis'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision Research
JMLR 2023
An empirical analysis of compute-optimal large language model training
NeurIPS 2022
Improving Language Models by Retrieving from Trillions of Tokens
ICML 2022
Unified Scaling Laws for Routed Language Models
ICML 2022