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Chetan Gupta

4 accepted papers

2026

Building Domain-Specific Small Language Models via Guided Data Generation

AAAI 2026technical

Large Language Models (LLMs) have shown remarkable success in supporting a wide range of knowledge-intensive tasks. In specialized domains, there is growing interest in leveraging LLMs to assist subject matter experts with domain-specific challenges. However, deploying LLMs as SaaS solutions raises

Cited by 0SourcePDFScholar
2020

Discriminant Generative Adversarial Networks with its Application to Equipment Health Classification

ICASSP 2020accepted

In equipment health classification, machines in normal, degradation and critical stages are classified based on domain experts KPI (Remaining Useful Life). Higher KPI values indicate healthier machines. GANs can be used to generate sensor data for machines in different health stages. There are chall…

Cited by 0SourceScholar
2020

Wisdom of the Ensemble: Improving Consistency of Deep Learning Models

NeurIPS 2020poster

Deep learning classifiers are assisting humans in making decisions and hence the user's trust in these models is of paramount importance. Trust is often a function of constant behavior. From an AI model perspective it means given the same input the user would expect the same output, especially for c…