Ankush Garg
7 papers · 2021–2023 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓
π
Conference Polyglot Β· Bronze
π
Interdisciplinary Bridge Β· Bronze
πΊοΈ
Taxonomy Completionist
(14)
π
Triple Crown
β
The Questioner
Venues
Top co-authors
Research topics
Keywords
neural machine translation
(2)
multi-task learning
(2)
machine translation
(1)
in-context learning
(1)
batch normalization
(1)
sentiment classification
(1)
empirical study
(1)
deep learning
(1)
learning rate
(1)
optimization algorithm
(1)
dynamical system
(1)
recurrent neural network
(1)
language model
(1)
gradient clipping
(1)
multilingual learning
(1)
machine translation evaluation
(1)
fine-grained evaluation
(1)
training instability
(1)
multi-task optimization
(1)
data scaling
(1)
Papers
Binarized Neural Machine Translation
NeurIPS 2023
Order Matters in the Presence of Dataset Imbalance for Multilingual Learning
NeurIPS 2023
The Devil Is in the Errors: Leveraging Large Language Models for Fine-grained Machine Translation Evaluation
EMNLP 2023
A Loss Curvature Perspective on Training Instabilities of Deep Learning Models
ICLR 2022
Data Scaling Laws in NMT: The Effect of Noise and Architecture
ICML 2022
Do Current Multi-Task Optimization Methods in Deep Learning Even Help?
NeurIPS 2022
The geometry of integration in text classification RNNs
ICLR 2021