Multi-resolution Networks For Flexible Irregular Time Series Modeling (Multi-FIT). - Bhanu Pratap Singh; Iman Deznabi; Bharath Narasimhan; Bryon Kucharski; Rheeya Uppaal; Akhila Josyula; Madalina Fiterau (CoRR, 2019)

LRS-DAG: Low Resource Supervised Domain Adaptation with Generalization Across Domains. - Rheeya Uppaal (CoRR, 2019)

Overcoming Practical Issues of Deep Active Learning and its Applications on Named Entity Recognition. - Haw-Shiuan Chang; Shankar Vembu; Sunil Mohan; Rheeya Uppaal; Andrew McCallum (CoRR, 2019)

Using error decay prediction to overcome practical issues of deep active learning for named entity recognition. - Haw-Shiuan Chang; Shankar Vembu; Sunil Mohan; Rheeya Uppaal; Andrew McCallum (Mach. Learn., 2020)

Long Document Summarization in a Low Resource Setting using Pretrained Language Models. - Ahsaas Bajaj; Pavitra Dangati; Kalpesh Krishna; Pradhiksha Ashok Kumar; Rheeya Uppaal; Bradford Windsor; Eliot Brenner; Dominic Dotterrer; Rajarshi Das; Andrew McCallum (ACL (student), 2021)

Is Fine-tuning Needed? Pre-trained Language Models Are Near Perfect for Out-of-Domain Detection. - Rheeya Uppaal; Junjie Hu 001; Yixuan Li 001 (ACL (1), 2023)

Evolving Domain Adaptation of Pretrained Language Models for Text Classification. - Yun-Shiuan Chuang; Yi Wu; Dhruv Gupta; Rheeya Uppaal; Ananya Kumar; Luhang Sun; Makesh Narsimhan Sreedhar; Sijia Yang; Timothy T. Rogers; Junjie Hu 001 (CoRR, 2023)

FEUDA: Frustratingly Easy Prompt Based Unsupervised Domain Adaptation. - Rheeya Uppaal; Yixuan Li 001; Junjie Hu 001 (CoRR, 2024)

DeTox: Toxic Subspace Projection for Model Editing. - Rheeya Uppaal; Apratim Dey; Yiting He; Yiqiao Zhong; Junjie Hu 001 (CoRR, 2024)

Model Editing as a Robust and Denoised variant of DPO: A Case Study on Toxicity. - Rheeya Uppaal; Apratim Dey; Yiting He; Yiqiao Zhong; Junjie Hu 001 (ICLR, 2025)