3 citations · 6 across the 3 of their papers we have counts for
4 papers
RecipeNet: A Hierarchical Transformer for Recipe Data
Pin-Yen Huang, Sachin Chhabra, Prasanth Sai Gouripeddi +2
Recipe data arises in domains such as materials synthesis, pharmaceutical formulation, and industrial manufacturing, where procedures are represented as ordered sequences of steps…
Label Smoothing++: Enhanced Label Regularization for Training Neural Networks
Sachin Chhabra, Hemanth Venkateswara, Baoxin Li
Training neural networks with one-hot target labels often results in overconfidence and overfitting. Label smoothing addresses this issue by perturbing the one-hot target labels by…
Domain Adaptation Using Pseudo Labels
Sachin Chhabra, Hemanth Venkateswara, Baoxin Li
In the absence of labeled target data, unsupervised domain adaptation approaches seek to align the marginal distributions of the source and target domains in order to train a class…
PatchRot: A Self-Supervised Technique for Training Vision Transformers
Sachin Chhabra, Prabal Bijoy Dutta, Hemanth Venkateswara +1
Vision transformers require a huge amount of labeled data to outperform convolutional neural networks. However, labeling a huge dataset is a very expensive process. Self-supervised…