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Anmol Agarwal
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2020 – today
- 2024
- [c7]Anmol Agarwal, Pratyush Priyadarshi, Shiven Sinha, Shrey Gupta, Hitkul Jangra, Ponnurangam Kumaraguru, Kiran Garimella:
Television Discourse Decoded: Comprehensive Multimodal Analytics at Scale. KDD 2024: 4752-4763 - [c6]Anmol Agarwal, Rakshesh P. Bhatt, Clifton Fernandes:
End-to-End System Level Solution for DDoS Attack Detection and Prediction for 5G and Future Wireless Networks. SmartNets 2024: 1-7 - [i9]Anmol Agarwal, Pratyush Priyadarshi, Shiven Sinha, Shrey Gupta, Hitkul Jangra, Kiran Garimella, Ponnurangam Kumaraguru:
Television Discourse Decoded: Comprehensive Multimodal Analytics at Scale. CoRR abs/2402.12629 (2024) - [i8]Ajinkya Pankaj Deshpande, Anmol Agarwal, Shashank Shet, Arun Iyer, Aditya Kanade, Ramakrishna Bairi, Suresh Parthasarathy:
Class-Level Code Generation from Natural Language Using Iterative, Tool-Enhanced Reasoning over Repository. CoRR abs/2405.01573 (2024) - [i7]Amey Agrawal, Anmol Agarwal, Nitin Kedia, Jayashree Mohan, Souvik Kundu, Nipun Kwatra, Ramachandran Ramjee, Alexey Tumanov:
Metron: Holistic Performance Evaluation Framework for LLM Inference Systems. CoRR abs/2407.07000 (2024) - 2023
- [c5]Anmol Agarwal, Shrey Gupta, Vamshi Bonagiri, Manas Gaur, Joseph Reagle, Ponnurangam Kumaraguru:
Towards Effective Paraphrasing for Information Disguise. ECIR (2) 2023: 331-340 - [c4]Laksh Nanwani, Anmol Agarwal, Kanishk Jain, Raghav Prabhakar, Aaron Monis, Aditya Mathur, Krishna Murthy Jatavallabhula, A. H. Abdul Hafez, Vineet Gandhi, K. Madhava Krishna:
Instance-Level Semantic Maps for Vision Language Navigation. RO-MAN 2023: 507-512 - [i6]Laksh Nanwani, Anmol Agarwal, Kanishk Jain, Raghav Prabhakar, Aaron Monis, Aditya Mathur, Krishna Murthy Jatavallabhula, A. H. Abdul Hafez, Vineet Gandhi, K. Madhava Krishna:
Instance-Level Semantic Maps for Vision Language Navigation. CoRR abs/2305.12363 (2023) - [i5]Yann Hicke, Anmol Agarwal, Qianou Ma, Paul Denny:
ChaTA: Towards an Intelligent Question-Answer Teaching Assistant using Open-Source LLMs. CoRR abs/2311.02775 (2023) - [i4]Anmol Agarwal, Shrey Gupta, Vamshi Bonagiri, Manas Gaur, Joseph Reagle, Ponnurangam Kumaraguru:
Towards Effective Paraphrasing for Information Disguise. CoRR abs/2311.05018 (2023) - 2022
- [i3]Shrey Gupta, Anmol Agarwal, Manas Gaur, Kaushik Roy, Vignesh Narayanan, Ponnurangam Kumaraguru, Amit P. Sheth:
Learning to Automate Follow-up Question Generation using Process Knowledge for Depression Triage on Reddit Posts. CoRR abs/2205.13884 (2022) - [i2]Anmol Agarwal, Jigar Gupta, Rahul Goel, Shyam Upadhyay, Pankaj Joshi, Rengarajan Aravamudhan:
CST5: Data Augmentation for Code-Switched Semantic Parsing. CoRR abs/2211.07514 (2022) - 2021
- [c3]Gina Fossati, Anmol Agarwal, Ebru Celikel Cankaya:
Digital Image Forensics Using Hexadecimal Image Analysis. AHFE (10) 2021: 176-183 - [c2]Vedant Shah, Anmol Agarwal, Tanmay Tulsidas Verlekar, Raghavendra Singh:
Adapting Deep Neural Networks for Pedestrian-Detection to Low-Light Conditions without Re-training. ICCVW 2021: 2535-2541 - [i1]Ashwin Singh, Mallika Subramanian, Anmol Agarwal, Pratyush Priyadarshi, Shrey Gupta, Kiran Garimella, Sanjeev Kumar, Ritesh Kumar, Lokesh Garg, Erica Arya, Ponnurangam Kumaraguru:
Diagnosing Web Data of ICTs to Provide Focused Assistance in Agricultural Adoptions. CoRR abs/2111.00052 (2021) - 2020
- [c1]Gbadebo Ayoade, Khandakar Ashrafi Akbar, Pracheta Sahoo, Yang Gao, Anmol Agarwal, Kangkook Jee, Latifur Khan, Anoop Singhal:
Evolving Advanced Persistent Threat Detection using Provenance Graph and Metric Learning. CNS 2020: 1-9
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last updated on 2024-10-07 21:17 CEST by the dblp team
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