61 citations · 116 across the 15 of their papers we have counts for
17 papers
Efficient ML Models for Practical Secure Inference
Vinod Ganesan, Anwesh Bhattacharya, Pratyush Kumar +3
ML-as-a-service continues to grow, and so does the need for very strong privacy guarantees. Secure inference has emerged as a potential solution, wherein cryptographic primitives a…
Joint Transformer/RNN Architecture for Gesture Typing in Indic Languages
Emil Biju, Anirudh Sriram, Mitesh M. Khapra +1
Gesture typing is a method of typing words on a touch-based keyboard by creating a continuous trace passing through the relevant keys. This work is aimed at developing a keyboard t…
OpenHands: Making Sign Language Recognition Accessible with Pose-based Pretrained Models across Languages
Prem Selvaraj, Gokul NC, Pratyush Kumar +1
AI technologies for Natural Languages have made tremendous progress recently. However, commensurate progress has not been made on Sign Languages, in particular, in recognizing sign…
SuperShaper: Task-Agnostic Super Pre-training of BERT Models with Variable Hidden Dimensions
Vinod Ganesan, Gowtham Ramesh, Pratyush Kumar
Task-agnostic pre-training followed by task-specific fine-tuning is a default approach to train NLU models. Such models need to be deployed on devices across the cloud and the edge…
Machine Learning approaches to do size based reasoning on Retail Shelf objects to classify product variants
Muktabh Mayank Srivastava, Pratyush Kumar
There has been a surge in the number of Machine Learning methods to analyze products kept on retail shelves images. Deep learning based computer vision methods can be used to detec…
On the Prunability of Attention Heads in Multilingual BERT
Aakriti Budhraja, Madhura Pande, Pratyush Kumar +1
Large multilingual models, such as mBERT, have shown promise in crosslingual transfer. In this work, we employ pruning to quantify the robustness and interpret layer-wise importanc…