John Thickstun
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
6
Venues
5
Active years
2017–2023
Best venue rank
A*
Where they publish
Papers
6 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2023 | ACL | Backpack Language Models. | John Hewitt, John Thickstun, Christopher D. Manning, Percy Liang |
| 2021 | ICML | Parallel and Flexible Sampling from Autoregressive Models via Langevin Dynamics. | Vivek Jayaram, John Thickstun |
| 2020 | EMNLP | An Information Bottleneck Approach for Controlling Conciseness in Rationale Extraction. | Bhargavi Paranjape, Mandar Joshi, John Thickstun, Hannaneh Hajishirzi, Luke Zettlemoyer |
| 2020 | ICML | Source Separation with Deep Generative Priors. | Vivek Jayaram, John Thickstun |
| 2018 | ICASSP | Invariances and Data Augmentation for Supervised Music Transcription. | John Thickstun, Zad Harchaoui, Dean P. Foster, Sham M. Kakade |
| 2017 | ICLR | Learning Features of Music From Scratch. | John Thickstun, Zad Harchaoui, Sham M. Kakade |