Saurabh Adya

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 28

Top Topics

Mahalanobis Metric

Metric Learning

Pruning Methods

Top Venues

IEEE Comput. Archit. Lett.

Publications

Minsik Cho, Keivan Alizadeh-Vahid, Qichen Fu, Saurabh Adya, Carlo C. del Mundo, Mohammad Rastegari, Devang Naik, Peter Zatloukal
eDKM: An Efficient and Accurate Train-Time Weight Clustering for Large Language Models. IEEE Comput. Archit. Lett. 23 (1) (2024)
Satyam Kumar, Sai Srujana Buddi, Utkarsh Oggy Sarawgi, Vineet Garg, Shivesh Ranjan, Ognjen Rudovic, Ahmed Hussen Abdelaziz, Saurabh Adya
Comparative Analysis of Personalized Voice Activity Detection Systems: Assessing Real-World Effectiveness. CoRR (2024)
Utkarsh Oggy Sarawgi, John Berkowitz, Vineet Garg, Arnav Kundu, Minsik Cho, Sai Srujana Buddi, Saurabh Adya, Ahmed H. Tewfik
Streaming Anchor Loss: Augmenting Supervision with Temporal Significance. ICASSP (2024)
Gautam Krishna, Sameer Dharur, Oggi Rudovic, Pranay Dighe, Saurabh Adya, Ahmed Hussen Abdelaziz, Ahmed H. Tewfik
Modality Drop-Out for Multimodal Device Directed Speech Detection Using Verbal and Non-Verbal Features. ICASSP (2024)
Shruti Palaskar, Oggi Rudovic, Sameer Dharur, Florian Pesce, Gautam Krishna, Aswin Sivaraman, Jack Berkowitz, Ahmed Hussen Abdelaziz, Saurabh Adya, Ahmed H. Tewfik
Multimodal Large Language Models with Fusion Low Rank Adaptation for Device Directed Speech Detection. CoRR (2024)
Sai Srujana Buddi, Utkarsh Oggy Sarawgi, Tashweena Heeramun, Karan Sawnhey, Ed Yanosik, Saravana Rathinam, Saurabh Adya
Efficient Multimodal Neural Networks for Trigger-less Voice Assistants. INTERSPEECH (2023)
Minsik Cho, Saurabh Adya, Devang Naik
PDP: Parameter-free Differentiable Pruning is All You Need. CoRR (2023)
Minsik Cho, Saurabh Adya, Devang Naik
PDP: Parameter-free Differentiable Pruning is All You Need. NeurIPS (2023)
Arnav Kundu, Chungkuk Yoo, Srijan Mishra, Minsik Cho, Saurabh Adya
R^2: Range Regularization for Model Compression and Quantization. CoRR (2023)
Sai Srujana Buddi, Utkarsh Oggy Sarawgi, Tashweena Heeramun, Karan Sawnhey, Ed Yanosik, Saravana Rathinam, Saurabh Adya
Efficient Multimodal Neural Networks for Trigger-less Voice Assistants. CoRR (2023)
Oggi Rudovic, Wonil Chang, Vineet Garg, Pranay Dighe, Pramod Simha, Jack Berkowitz, Ahmed Hussen Abdelaziz, Sachin Kajarekar, Erik Marchi, Saurabh Adya
Less Is More: A Unified Architecture for Device-Directed Speech Detection with Multiple Invocation Types. ICASSP (2023)
Gautam Krishna, Sameer Dharur, Oggi Rudovic, Pranay Dighe, Saurabh Adya, Ahmed Hussen Abdelaziz, Ahmed H. Tewfik
Modality Dropout for Multimodal Device Directed Speech Detection using Verbal and Non-Verbal Features. CoRR (2023)
Minsik Cho, Keivan Alizadeh-Vahid, Qichen Fu, Saurabh Adya, Carlo C. Del Mundo, Mohammad Rastegari, Devang Naik, Peter Zatloukal
eDKM: An Efficient and Accurate Train-time Weight Clustering for Large Language Models. CoRR (2023)
Utkarsh Oggy Sarawgi, John Berkowitz, Vineet Garg, Arnav Kundu, Minsik Cho, Sai Srujana Buddi, Saurabh Adya, Ahmed H. Tewfik
Streaming Anchor Loss: Augmenting Supervision with Temporal Significance. CoRR (2023)
Minsik Cho, Keivan Alizadeh-Vahid, Saurabh Adya, Mohammad Rastegari
DKM: Differentiable k-Means Clustering Layer for Neural Network Compression. ICLR (2022)
Vineet Garg, Ognjen Rudovic, Pranay Dighe, Ahmed Hussen Abdelaziz, Erik Marchi, Saurabh Adya, Chandra Dhir, Ahmed H. Tewfik
Device-Directed Speech Detection: Regularization via Distillation for Weakly-Supervised Models. CoRR (2022)
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
Improving Voice Trigger Detection with Metric Learning. CoRR (2022)
Vineet Garg, Ognjen Rudovic, Pranay Dighe, Ahmed Hussen Abdelaziz, Erik Marchi, Saurabh Adya, Chandra Dhir, Ahmed H. Tewfik
Device-Directed Speech Detection: Regularization via Distillation for Weakly-Supervised Models. INTERSPEECH (2022)
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
Improving Voice Trigger Detection with Metric Learning. INTERSPEECH (2022)
Vineet Garg, Wonil Chang, Siddharth Sigtia, Saurabh Adya, Pramod Simha, Pranay Dighe, Chandra Dhir
Streaming Transformer for Hardware Efficient Voice Trigger Detection and False Trigger Mitigation. Interspeech (2021)
Vineet Garg, Wonil Chang, Siddharth Sigtia, Saurabh Adya, Pramod Simha, Pranay Dighe, Chandra Dhir
Streaming Transformer for Hardware Efficient Voice Trigger Detection and False Trigger Mitigation. CoRR (2021)
Minsik Cho, Keivan Alizadeh-Vahid, Saurabh Adya, Mohammad Rastegari
DKM: Differentiable K-Means Clustering Layer for Neural Network Compression. CoRR (2021)
Pranay Dighe, Saurabh Adya, Nuoyu Li, Srikanth Vishnubhotla, Devang Naik, Adithya Sagar, Ying Ma, Stephen Pulman, Jason D. Williams
Lattice-Based Improvements for Voice Triggering Using Graph Neural Networks. ICASSP (2020)
Saurabh Adya, Vineet Garg, Siddharth Sigtia, Pramod Simha, Chandra Dhir
Hybrid Transformer/CTC Networks for Hardware Efficient Voice Triggering. CoRR (2020)
Pranay Dighe, Saurabh Adya, Nuoyu Li, Srikanth Vishnubhotla, Devang Naik, Adithya Sagar, Ying Ma, Stephen Pulman, Jason D. Williams
Lattice-based Improvements for Voice Triggering Using Graph Neural Networks. CoRR (2020)
Saurabh Adya, Vineet Garg, Siddharth Sigtia, Pramod Simha, Chandra Dhir
Hybrid Transformer/CTC Networks for Hardware Efficient Voice Triggering. INTERSPEECH (2020)
Minghuang Ma, Hadi Pouransari, Daniel Chao, Saurabh Adya, Santiago Akle Serrano, Yi Qin, Dan Gimnicher, Dominic Walsh
Democratizing Production-Scale Distributed Deep Learning. CoRR (2018)
Saurabh Adya, Vinay Palakkode, Oncel Tuzel
Nonlinear Conjugate Gradients For Scaling Synchronous Distributed DNN Training. CoRR (2018)