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Found 3 papers, 2 papers with code
Joint-Task Regularization for Partially Labeled Multi-Task Learning
Multi-task learning has become increasingly popular in the machine learning field, but its practicality is hindered by the need for large, labeled datasets.
Towards an Understanding of Stepwise Inference in Transformers: A Synthetic Graph Navigation Model
Stepwise inference protocols, such as scratchpads and chain-of-thought, help language models solve complex problems by decomposing them into a sequence of simpler subproblems.
Augmentation Strategies for Learning with Noisy Labels
In this paper, we evaluate different augmentation strategies for algorithms tackling the "learning with noisy labels" problem.
Ranked #9 on
Image Classification
on Clothing1M
(using extra training data)
