most citedUsing Early-Learning Regularization to Classify Real-World Noisy Data

1 citations · 1 across the 1 of their papers we have counts for

collaborators

2 papers

cs.CV2021★ 1 cited

Using Early-Learning Regularization to Classify Real-World Noisy Data

Alessio Galatolo, Alfred Nilsson, Roderick Karlemstrand +1

The memorization problem is well-known in the field of computer vision. Liu et al. propose a technique called Early-Learning Regularization, which improves accuracy on the CIFAR da…

cs.LG2021

Using Twitter Attribute Information to Predict Stock Prices

Roderick Karlemstrand, Ebba Leckström

Being able to predict stock prices might be the unspoken wish of stock investors. Although stock prices are complicated to predict, there are many theories about what affects their…