Adarsh Kumar

According to our database, Adarsh Kumar authored at least 7 papers between 2018 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Accelerating Deep Learning Inference via Learned Caches.

Arjun Balasubramanian, Adarsh Kumar, Yuhan Liu, Han Cao, Shivaram Venkataraman, Aditya Akella

CoRR, 2021

Doing more by doing less: how structured partial backpropagation improves deep learning clusters.

Adarsh Kumar, Kausik Subramanian, Shivaram Venkataraman, Aditya Akella

Proceedings of the DistributedML '21: Proceedings of the 2nd ACM International Workshop on Distributed Machine Learning, 2021

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, Anuj Kumar Goyal, Peter Ku, Dilek Hakkani-Tür

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Can Adversarial Weight Perturbations Inject Neural Backdoors.

Siddhant Garg, Adarsh Kumar, Vibhor Goel, Yingyu Liang

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

MA-DST: Multi-Attention-Based Scalable Dialog State Tracking.

Adarsh Kumar, Peter Ku, Anuj Kumar Goyal, Angeliki Metallinou, Dilek Hakkani-Tür

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Accelerating Deep Learning Inference via Freezing.

Adarsh Kumar, Arjun Balasubramanian, Shivaram Venkataraman, Aditya Akella

Proceedings of the 11th USENIX Workshop on Hot Topics in Cloud Computing, 2019

2018

Translating Web Search Queries into Natural Language Questions.

Adarsh Kumar, Sandipan Dandapat, Sushil Chordia

Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018