Yamini Bansal
6 papers · 2018–2023 · 3 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (3) 🏃 Academic Marathon (5) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (15)
🚀
Conference Pioneer
Conferences
ICLR (3)
ICML (2)
NIPS (1)
Top co-authors
Keywords
neural machine translation
(2)
stochastic gradient descent
(1)
few-shot learning
(1)
self-supervised learning
(1)
machine translation
(1)
in-context learning
(1)
prompt-based learning
(1)
neural representation
(1)
low-resource language
(1)
centered kernel alignment
(1)
data scaling
(1)
model stitching
(1)
power law
(1)
representation learning
(1)
scaling exponent
(1)
Papers
The Unreasonable Effectiveness of Few-shot Learning for Machine Translation
ICML 2023
Data Scaling Laws in NMT: The Effect of Noise and Architecture
ICML 2022
Revisiting Model Stitching to Compare Neural Representations
NIPS 2021
For self-supervised learning, Rationality implies generalization, provably
ICLR 2021
Deep Double Descent: Where Bigger Models and More Data Hurt
ICLR 2020
On the Information Bottleneck Theory of Deep Learning
ICLR 2018