Bit Efficient Quantization for Deep Neural Networks. - Prateeth Nayak; David Zhang; Sek Chai (EMC2@NeurIPS, 2019)

Zero-Shot Learning with Knowledge Enhanced Visual Semantic Embeddings. - Karan Sikka; Jihua Huang; Andrew Silberfarb; Prateeth Nayak; Luke Rohrer; Pritish Sahu; John Byrnes; Ajay Divakaran; Richard Rohwer (CoRR, 2020)

Improving Voice Trigger Detection with Metric Learning. - Prateeth Nayak; Takuya Higuchi; Anmol Gupta; Shivesh Ranjan; Stephen Shum; Siddharth Sigtia; Erik Marchi; Varun Lakshminarasimhan; Minsik Cho; Saurabh Adya; Chandra Dhir; Ahmed H. Tewfik (INTERSPEECH, 2022)

Audio-to-Intent Using Acoustic-Textual Subword Representations from End-to-End ASR. - Pranay Dighe; Prateeth Nayak; Oggi Rudovic; Erik Marchi; Xiaochuan Niu; Ahmed H. Tewfik (ICASSP, 2023)

RepCNN: Micro-sized, Mighty Models for Wakeword Detection. - Arnav Kundu; Prateeth Nayak; Priyanka Padmanabhan; Devang Naik (INTERSPEECH, 2024)

RepCNN: Micro-sized, Mighty Models for Wakeword Detection. - Arnav Kundu; Prateeth Nayak; Hywel Richards; Priyanka Padmanabhan; Devang Naik (CoRR, 2024)