Yamini Bansal
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
5
Venues
2
Active years
2018–2023
Best venue rank
A*
Where they publish
Papers
5 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2023 | ICML | The Unreasonable Effectiveness of Few-shot Learning for Machine Translation. | Xavier Garcia, Yamini Bansal, Colin Cherry, George F. Foster, Maxim Krikun, Melvin Johnson, Orhan Firat |
| 2022 | ICML | Data Scaling Laws in NMT: The Effect of Noise and Architecture. | Yamini Bansal, Behrooz Ghorbani, Ankush Garg, Biao Zhang, Colin Cherry, Behnam Neyshabur, Orhan Firat |
| 2021 | ICLR | For self-supervised learning, Rationality implies generalization, provably. | Yamini Bansal, Gal Kaplun, Boaz Barak |
| 2020 | ICLR | Deep Double Descent: Where Bigger Models and More Data Hurt. | Preetum Nakkiran, Gal Kaplun, Yamini Bansal, Tristan Yang, Boaz Barak, Ilya Sutskever |
| 2018 | ICLR | On the Information Bottleneck Theory of Deep Learning. | Andrew M. Saxe, Yamini Bansal, Joel Dapello, Madhu Advani, Artemy Kolchinsky, Brendan D. Tracey, David D. Cox |