Translating Web Search Queries into Natural Language Questions. - Adarsh Kumar 001; Sandipan Dandapat; Sushil Chordia (LREC, 2018)

Accelerating Deep Learning Inference via Freezing. - Adarsh Kumar 001; Arjun Balasubramanian; Shivaram Venkataraman; Aditya Akella (HotCloud, 2019)

MA-DST: Multi-Attention-Based Scalable Dialog State Tracking. - Adarsh Kumar 001; Peter Ku; Anuj Kumar Goyal; Angeliki Metallinou; Dilek Hakkani-Tür (AAAI, 2020)

Can Adversarial Weight Perturbations Inject Neural Backdoors. - Siddhant Garg; Adarsh Kumar 001; Vibhor Goel; Yingyu Liang (CIKM, 2020)

MultiWOZ 2.1: A Consolidated Multi-Domain Dialogue Dataset with State Corrections and State Tracking Baselines. - Mihail Eric; Rahul Goel; Shachi Paul; Abhishek Sethi; Sanchit Agarwal; Shuyang Gao; Adarsh Kumar 001; Anuj Kumar Goyal; Peter Ku; Dilek Hakkani-Tür (LREC, 2020)

Doing more by doing less: how structured partial backpropagation improves deep learning clusters. - Adarsh Kumar 001; Kausik Subramanian; Shivaram Venkataraman; Aditya Akella (DistributedML@CoNEXT, 2021)

Accelerating Deep Learning Inference via Learned Caches. - Arjun Balasubramanian; Adarsh Kumar 001; Yuhan Liu; Han Cao; Shivaram Venkataraman; Aditya Akella (CoRR, 2021)