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02/28/2023
EvoPrompting: Language Models for Code-Level Neural Architecture Search
Given the recent impressive accomplishments of language models (LMs) for...
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02/10/2023
Unified Functional Hashing in Automatic Machine Learning
The field of Automatic Machine Learning (AutoML) has recently attained i...
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10/20/2022
Transcending Scaling Laws with 0.1
Scaling language models improves performance but comes with significant ...
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09/17/2021
Primer: Searching for Efficient Transformers for Language Modeling
Large Transformer models have been central to recent advances in natural...
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05/17/2021
Pay Attention to MLPs
Transformers have become one of the most important architectural innovat...
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02/03/2021
MUFASA: Multimodal Fusion Architecture Search for Electronic Health Records
One important challenge of applying deep learning to electronic health r...
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03/06/2020
AutoML-Zero: Evolving Machine Learning Algorithms From Scratch
Machine learning research has advanced in multiple aspects, including mo...
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01/27/2020
Towards a Human-like Open-Domain Chatbot
We present Meena, a multi-turn open-domain chatbot trained end-to-end on...
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01/30/2019
The Evolved Transformer
Recent works have highlighted the strengths of the Transformer architect...
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03/27/2018
