Search Results for author: David Luan

Found 4 papers, 3 papers with code

Show Your Work: Scratchpads for Intermediate Computation with Language Models

no code implementations30 Nov 2021 Maxwell Nye, Anders Johan Andreassen, Guy Gur-Ari, Henryk Michalewski, Jacob Austin, David Bieber, David Dohan, Aitor Lewkowycz, Maarten Bosma, David Luan, Charles Sutton, Augustus Odena

Large pre-trained language models perform remarkably well on tasks that can be done "in one pass", such as generating realistic text or synthesizing computer programs.

Generative Pretraining from Pixels

4 code implementations ICML 2020 Mark Chen, Alec Radford, Rewon Child, Jeff Wu, Heewoo Jun, Prafulla Dhariwal, David Luan, Ilya Sutskever

Inspired by progress in unsupervised representation learning for natural language, we examine whether similar models can learn useful representations for images.

Ranked #12 on Image Classification on STL-10 (using extra training data)

Representation Learning Self-Supervised Image Classification

Language Models are Unsupervised Multitask Learners

10 code implementations Preprint 2019 Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, Ilya Sutskever

Natural language processing tasks, such as question answering, machine translation, reading comprehension, and summarization, are typically approached with supervised learning on taskspecific datasets.

 Ranked #1 on Language Modelling on enwik8 (using extra training data)

Common Sense Reasoning Data-to-Text Generation +8

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