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CounterGeDi: A controllable approach to generate polite, detoxified and emotional counterspeech



Punyajoy Saha , Kanishk Singh , Adarsh Kumar , Binny Mathew , Animesh Mukherjee

* Accepted at IJCAI-ECAI 2022, 10 pages, 2 figures, 11 tables, Code is available at https://github.com/hate-alert/CounterGEDI 

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Doing More by Doing Less: How Structured Partial Backpropagation Improves Deep Learning Clusters



Adarsh Kumar , Kausik Subramanian , Shivaram Venkataraman , Aditya Akella

* Accepted at DistributedML-2021 

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DadaGP: A Dataset of Tokenized GuitarPro Songs for Sequence Models



Pedro Sarmento , Adarsh Kumar , CJ Carr , Zack Zukowski , Mathieu Barthet , Yi-Hsuan Yang


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Quantum Artificial Intelligence for the Science of Climate Change



Manmeet Singh , Chirag Dhara , Adarsh Kumar , Sukhpal Singh Gill , Steve Uhlig


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Team Phoenix at WASSA 2021: Emotion Analysis on News Stories with Pre-Trained Language Models



Yash Butala , Kanishk Singh , Adarsh Kumar , Shrey Shrivastava


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Accelerating Deep Learning Inference via Learned Caches



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


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Hostility Detection in Hindi leveraging Pre-Trained Language Models



Ojasv Kamal , Adarsh Kumar , Tejas Vaidhya


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Can Adversarial Weight Perturbations Inject Neural Backdoors?



Siddhant Garg , Adarsh Kumar , Vibhor Goel , Yingyu Liang

* Accepted as a conference paper at CIKM 2020 

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Accelerating Deep Learning Inference via Freezing



Adarsh Kumar , Arjun Balasubramanian , Shivaram Venkataraman , Aditya Akella

* 11th USENIX Workshop on Hot Topics in Cloud Computing, HotCloud 2019 

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Translating Web Search Queries into Natural Language Questions



Adarsh Kumar , Sandipan Dandapat , Sushil Chordia

* Eleventh International Conference on Language Resources and Evaluation, LREC 2018 

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