AUTOMATA: Gradient Based Data Subset Selection for Compute-Efficient Hyper-parameter Tuning

1 code implementation • 15 Mar 2022 • KrishnaTeja Killamsetty, Guttu Sai Abhishek, Aakriti, Alexandre V. Evfimievski, Lucian Popa, Ganesh Ramakrishnan, Rishabh Iyer

Our central insight is that using an informative subset of the dataset for model training runs involved in hyper-parameter optimization, allows us to find the optimal hyper-parameter configuration significantly faster.

SPEAR : Semi-supervised Data Programming in Python

1 code implementation • 1 Aug 2021 • Guttu Sai Abhishek, Harshad Ingole, Parth Laturia, Vineeth Dorna, Ayush Maheshwari, Rishabh Iyer, Ganesh Ramakrishnan

SPEAR facilitates weak supervision in the form of heuristics (or rules) and association of noisy labels to the training dataset.

text-classification Text Classification