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Towards Efficient Active Learning in NLP via Pretrained Representations
Artem Vysogorets, Achintya Gopal
Fine-tuning Large Language Models (LLMs) is now a common approach for text classification in a wide range of applications. When labeled documents are scarce, active learning helps…
DP-TBART: A Transformer-based Autoregressive Model for Differentially Private Tabular Data Generation
Rodrigo Castellon, Achintya Gopal, Brian Bloniarz +1
The generation of synthetic tabular data that preserves differential privacy is a problem of growing importance. While traditional marginal-based methods have achieved impressive r…
ELF: Exact-Lipschitz Based Universal Density Approximator Flow
Achintya Gopal
Normalizing flows have grown more popular over the last few years; however, they continue to be computationally expensive, making them difficult to be accepted into the broader mac…
Why Calibration Error is Wrong Given Model Uncertainty: Using Posterior Predictive Checks with Deep Learning
Achintya Gopal
Within the last few years, there has been a move towards using statistical models in conjunction with neural networks with the end goal of being able to better answer the question,…