Towards Understanding End-of-trip Instructions in a Taxi Ride Scenario. - Deepthi Karkada; Ramesh R. Manuvinakurike; Kallirroi Georgila (CoRR, 2018)

Efficient 8-Bit Quantization of Transformer Neural Machine Language Translation Model. - Aishwarya Bhandare; Vamsi Sripathi; Deepthi Karkada; Vivek Menon; Sun Choi; Kushal Datta; Vikram A. Saletore (CoRR, 2019)

RDG-Map: A Multimodal Corpus of Pedagogical Human-Agent Spoken Interactions. - Maike Paetzel; Deepthi Karkada; Ramesh R. Manuvinakurike (LREC, 2020)

Nontrivial Lexical Convergence in a Geography-Themed Game. - Amanda Bergqvist; Ramesh R. Manuvinakurike; Deepthi Karkada; Maike Paetzel (SIGdial, 2020)

Optimization of Deep Learning Based Brain Extraction in MRI for Low Resource Environments. - Siddhesh P. Thakur; Sarthak Pati; Ravi Panchumarthy; Deepthi Karkada; Junwen Wu; Dmitry Kurtaev; Chiharu Sako; Prashant Shah; Spyridon Bakas (BrainLes@MICCAI (1), 2021)

Strategy-level Entrainment of Dialogue System Users in a Creative Visual Reference Resolution Task. - Deepthi Karkada; Ramesh R. Manuvinakurike; Maike Paetzel-Prüsmann; Kallirroi Georgila (LREC, 2022)

Federated Learning Enables Big Data for Rare Cancer Boundary Detection. - Sarthak Pati; Ujjwal Baid; Brandon Edwards; Micah J. Sheller; Hans Shih-Han Wang; G. Anthony Reina; Patrick Foley; Alexey Gruzdev; Deepthi Karkada; Christos Davatzikos; Chiharu Sako; Satyam Ghodasara; et al. (CoRR, 2022)

Optimization of deep learning models for inference in low resource environments. - Siddhesh P. Thakur; Sarthak Pati; Junwen Wu; Ravi Panchumarthy; Deepthi Karkada; Alexander Kozlov; Vasily Shamporov; Alexander Suslov; Daniil Lyakhov; Maksim Proshin; Prashant Shah; Dimitrios Makris 001; et al. (Comput. Biol. Medicine, 2025)